~J.. A..__._ 7.1“ ‘h -« , , ~11 .- Ava-N1 "5 i 4'31. . ,. I, I M an.- - I M «v 3: :30 I‘M: ,. 1 _. $31.“- , ‘ ... .0... .... Ffl ’ A , “1’- ; . 313’: a: 2:367 This is to certify that the dissertation entitled GOALS AND SELF-ASSESSMENT IN THE MIDDLE SCHOOL LEARNER: A STUDY OF MUSIC PRACTICE HABITS presented by Steven Rex Oare LIBRARY Michigan State University has been accepted towards fulfillment of the requirements for the PhD. degree in Music WWW Major Professor's Signature 7,12,07 Date MSU is an affirmative-action, equal-opportunity employer -----.---a-o--a-p----.--.-.---.----------.-.-----.----o----—---o-------------o---------n------ PLACE IN RETURN BOX to remove this checkout from your record. To AVOID FINES return on or before date due. MAY BE RECALLED with earlier due date if requested. DATE DUE DATE DUE DATE DUE 6/07 p:/CIRC/Date0ue.indd-p.1 GOALS AND SELF-ASSESSMENT IN THE MIDDLE SCHOOL LEARNER: A STUDY OF MUSIC PRACTICE HABITS by Steven Rex Care A DISSERTATION Submitted to Michigan State University In partial fulfillment of the requirements For the degree of DOCTOR OF PHILOSOPHY Department of Music Education 2007 ABSTRACT GOALS AND SELF-ASSESSMENT IN THE MIDDLE SCHOOL LEARNER: A STUDY OF MUSIC PRACTICE HABITS By Steven Rex Oare With the intent of improving the teaching of practice strategies to young musicians, the purpose of this multiple case study was to discover how students use goal setting and self-assessment within their personal practice sessions and how these self- regulative components affect strategy choice and motivation. The specific questions were as follows: a) What goal setting and self-assessment comments do novice, adolescent instrumental musicians make during instrumental practice? b) What goal setting and self- assessment strategies do novice, adolescent instrumental musicians use during instrumental practice? c) Are there differences in practice strategies found among students when they are deliberately involved in goal setting or self-assessment compared to times when they are not setting goals or self-assessment? and d) What strategies do students use to address various technical aspects of performance? This study entailed the observation of middle school aged instrumental music students (N=6) during their individual practice. Two students were in eighth grade and four were in seventh grade. The students played flute (N=2), clarinet (N=l ), saxophone (N=2), and trombone (N=1). Data was collected via field notes, videotape analysis of three practice sessions per student along with concurrent and retrospective verbal reports, focus group interviews before and afier the observation cycle commenced and concluded, and an interview with the students’ band director. Data were analyzed within cases and across cases for emergent themes. Four themes were found to describe a cyclical practice process in which students moved from motivation. to goal setting, to strategy use, to assessment, and back to motivation. Each stage of the cycle seemed to drive other stages. Students with learning goal orientations seemed to practice more effectively than students with performance or time orientations. Student goals tended to lack specificity, which negatively influenced student choice of practice strategy and self-assessment. Three external factors were found that had a strong influence on the practice cycle, including teachers, musical aural image, and learning development. These three factors wove their way through all four stages of the practice cycle. Copyri ght By Steven Rex Oare 2007 DEDICATION This dissertation is dedicated to my wife and best friend, Frances Oare, and to my children, Jacob and Rebecca, in gratitude for their love, patience, support, prayers, and assistance throughout my doctoral program. I am truly a blessed man. ACKNOWLEDGEMENTS The completion of this dissertation could not have been accomplished without the help and encouragement of a great many pe0ple. I would first like to convey my deep gratitude to Dr Mitchell Robinson, my advisor, for his encouragement, wisdom, and incredible editing prowess. Thank you for going above and beyond. I also would like to thank the rest of my committee, Dr. Cynthia Taggart, Dr. Judy Palac and Dr. Kevin Sedatole for their insight and advice in the completion of the document I am deeply indebted to the teacher and students who allowed me to look inside their minds. Ms. Zingerman is truly a fine teacher who deeply cares about the students in her charge. It was a thrill to be able to observe her work with her middle school bands and even more of an honor to get to know her more. I owe a great deal to Mr. John Terris, my high school band teacher and mentor, who inspired me to become a. music teacher, His dedication to his students and. selfless sacrifice of time and resources were a model I will always strive to follow. I would also like to thank my son Jacob and my daughter Rebecca for their support and love and for forgiving my mistakes. They have taught me a great deal about how children learn music. I am proud of them. I would also like to thank my wife, Frances for her support, encouragement, and sacrifice in allowing me to pursue my studies Further, I would like to thank her for reviewing my work, allowing me to share my ideas, and providing insight that only comes from a master teacher. Finally, I would like to thank my Lord and Savior, Jesus Christ who makes all things possible. Joshua 24:15. vi TABLE OF CONTENTS CHAPTER I INTRODUCTION... .. .. .. .... Rationale for the Study... Self-regulated Learning Deliberate Practice... Goal Setting... . Assessment and Evaluation Strategies to Develop Performance Skill Summary... Purpose of the Study Chapter Summary... CHAPTERII REVIEW OF RELATED LITERATURE... The Use of Verbal Protocols in Music Education Research ................. Music Research Using Verbal Reports...... Summary of Verbal Protocol Research Studies inthe Development ofPractice Skills Researchin Practice with Instrumentalists... Self-assessment Research in Musical Performance... Chapter Summary CHAPTER III ResearchersLens Purpose... Chronology and Setting Data Collection Techniques Procedure... DataAnalysis . Verification and Generallzabrlrty CHAPTER IV MEET THEPARTICIPANTS: WITHIN-CASE ANALYSIS... Scott Matthew...... .. vii xi hoaxes-— ll .....15 .....17 19 . 2O 21 21 .23 .31 .32 46 .56 65 ..67 .67 ....70 .....72 75 ......79 .....82 ..87 89 .90 102 113 .124 .136 .. 144 Summary CHAPTER V COMMONALITIES: CROSS-CASE ANALYSIS ....155 .....155 .. 157 Goal Setting... Types of Goals Students Set What They Play... Time vs. Improvement........................................ .....165 166 .....167 167 .....168 .. 171 Priorities. Assessment... Evaluation vs. Assessment ”teacher tntluence... .. Detection (and Non-Detection) of Mistakes Diagnosis... Strategies... . Teacher Iiis’u uc‘tiorin StrategyRepertoire....................................................... Non—playing............... Aurallmage. 183 ..184 Motivation... . . .. . . . . Goal Ori entatiori ChapterSummary... . . CHAPTER VI SEWINGITUPzTHREADSANDIMPLICATIONS............................. Motrvatron Goals Strategies Assessment............. FurtherThreads Teacherlnfluence........... .. 209 216 220 . 222 Aural lrnage... Development... .. A Model of the Development of Practice Skills Conclusions... CHAPTER VII SUMMARY, CONCLUSIONS, AND SUGGESTIONS FOR FUTURE RESEARCH... Summary Conclusions Suggestions for Further Research Epilogue... viii When It s Leanied weir Enough 152 154 164 172 1"! .. II.) 177 181 181 188 191 191 194 198 202 203 204 223 223 225 227 . 229 APPENDIX A Parent Consent Form APPENDIX B. StudentAssent Form...... APPENDIXC.TeacherConsentForm................. APPENDIX D. Student Focus Group Questions APPENDIX E. Teacherlnterview Questions APPENDD( F. SchoolApproval Letter... APPENDIX G Code Stmcttire ix 231 233 234 7.36 237 238 239 242 I .IST OF TABLES Table 1. Taxonomy of practice objectives... . . Table 2. Example ofa Concurrent Report Transcrmtion... .. Table 3. Example ofo Retrospective Report Transcription Table 4. Scott—Practice Session #2 Table 5. Amy —Practice Session it 2... Table 6. Amy - Practice Session ti} Table 7. Nick— Practice Session #1 .. Table 8. Nick—Practice Session #2 Table 9. Mandy ~ Practice Session #1 Table 10. Mandy~Practice Session #1 ... . Table 1]. Mandy «Practice Session #3... ..28 84 85 .92 107 -108 .114 123 .126 128 129 LIST OF FIGURES Figure l. Self-Regulated Learning Cycle Phases......... 10 Figure2 Model ofPractice Skill Development .......221 xi CHAPTER] INTRODUCTION Mr. T erris, the band teacher at Lakefield Middle School, was disappointed with his students ’ performance on their latest playing tests. He knew they were capable of playing the assigned excerpt, but few of the students were able to play it at an acceptable level. Afler discussing their performances with the students, he noticed a number of reasons for the poor performances. Nathan stated that he was able to play it the night before but, when further questioned, admitted that he played it correctly only twice in nearly twenty attempts. Adrianne stated that she spent no time practicing the assignment until she crammed for it the night before the test. Cassie was unaware of the mistakes she had made during the test, and Ben was unable to recognize that the diflicult technical passage was simply the some C minor scale pattern they had been playing in warm- ups. When Mr. T erris asked others to tell about their practice habits leading up to the test, they were unable to articulate the goals they had set or the strategies they had used. Instead, it seemed that their practice sessions could be more accurately described as, “play through sessions, " in which students simply played from the beginning to the end of each piece without goals or plans for improvement. Mr. T erris noticed another troublesome anomaly between amount of time some students practiced and their performance. Each week, students in the band were expected to turn in practice reports that recorded the number of minutes practiced each day. Though Monica was one of the best trumpet players in the band, she consistently earned Cs on her practice reports because she only practiced 15 minutes per day. Lindsey, on the other hand, recorded 90 minutes of practice every day, but was a weak clarinetist. In the past, Mr. T erris believed that performance was directly linked to talent and the amount of time one put into home practice, but evidence was beginning to show him that other factors might be involved. Students needed to know how to practice effectively and efliciently in order to become independent musicians. Therefore, he needed to show them how to practice more eflectively. The problem was that, though he had some assumptions, he had no reliable knowledge of what they were actually doing at home when they were practicing. If only he could be like afly on the wall and observe his students as they were practicing. . . Maybe then he would know what to do to help them to work smarter without having to work harder. . . Though the previous vignette is fictional, it is loosely based upon my own experiences with students during my years as a band teacher. It expresses concerns I have had with my ability to teach effective practice habits, as well as my desire to know the thought processes used by my students as they practiced and how their modes of thinking translated into their actions. The vignette also reflects comments made by my colleagues regarding the abilities and inabilities of students to practice efficiently on their own. Success in musical performance is dependent upon both the time spent in practice and the effectiveness of each practice session (Ericsson, Krampe & Tesch-Romer, 1993). Individual practice is a vital part of developing performance skills in instrumental musicians. Sloboda (1991) found that musicians often spend over 15,000 hours of practice over a span of more than 10 years in order to develop the skills and understandings needed to become experts at their art. Others have found that expert musicians systematically approach their practice, using problem identification, creative strategy planning, imagery and self-assessment as key components of their practice (Hallam, 2001b; Nielsen, 1997, 2004). Researchers have found that expert musicians demonstrate high levels of reflective learning (i.e., metacognition) as they identify their strengths and weaknesses, choose appropriate learning strategies, and monitor their progress (Chaffin & Imreh, 2001; Hallam, 1997; Nielsen, 1997). Others have discovered that novice musicians demonstrate fewer characteristics of this component of self-regulation, resulting in slower musical progress. Students tend to lack a systematic plan in their practice, ofien moving from one selection to another with little apparent reason and without discemable improvement in performance (McPherson & Renwick, 2001; Pitts, Davidson & McPherson, 2000). Barry’s (1992) comparison of videotaped practice between middle school students engaged in structured and unstructured practice showed that, during free practice, students tended to play their music faster, use a metronome less, use mental practice strategies less or not at all, and identified trouble spots less than the students engaged in structured and supervised practice. Though Care (2006) and Leon-Guerrero (2004) found that students demonstrated a variety of practice strategies with and without playing their instruments, the students in Oare’s (2006) study demonstrated a lack of ability to effectively use the strategies they knew. Because novice musicians tend to lack efficient practice skills, giving instruction in appropriate practicing techniques is an important task for music teachers (Barry, 1994; Ericsson, Krampe & Tesch-Romer, 1993; Jorgensen, 2003; McPherson, 1995; McPherson, Davidson & Pitts, 2000). Lehmann and Davidson (2002) state that, “learning to practice is in itself a skill that needs to be acquired. Therefore, teachers should take great care to teach their students how to practice correctly.” This explicit instruction and supervision of practice methods should provide individualized diagnosis of errors, informative feedback, and training in remedial practice techniques (Ericsson, Krampe & Tesch-Romer, 1993 ). While research suggests that instruction in practice skills is important, investigators also report that these skills ofien are not taught to novice musicians. According to McPherson (2005), “Despite the importance for children to develop an armoury of task-appropriate strategies to aid their performance, evidence suggests that school teachers do not sufficiently emphasize this in their teaching, particularly during the early years of schooling.” Barry and McArthur (1994) report that most teachers, “always or almost always discuss the importance of practice and specific practice techniques with students,” while Kostka (2002) found that, although the teachers in her survey stated they taught practice strategies, only 67% of their students reported that practice strategies were ever discussed. The disconnect between what should be taught and what is being taught may be due to a lack of information about effective ways to practice. Music education researchers have recently begun to address this, as research in practice strategies and the development of expertise has rapidly increased since the early 19905. Researchers in this field have studied expert musicians with the hope of transferring what is learned from their practice skills to novice students (Ericsson & Lehman, 1997; Geiersbach, 2000; Hallam, 2001a & 2001b; Nielsen, 1997, 1999, 2001 & 2004). Others have studied the effects of supervision and structure upon student practice effectiveness (Barry, 1992; Coffman, 1990; da Costa, 1999; Davis, 1981; Maynard, 2006; Rosenthal, 1984, 1988; Rosenthal, et a1. 1990), parental involvement in beginning music students (McPherson & Renwick, 2; Pitts, McPherson & Davidson, 2000; Zdzinski, 1994), the strategy use of novice musicians (Barry, 1992; DaCosta, 1999; Leon-Guerrero, 2004; Hallam, 2001b), goal setting (Austin, 1991; Geiersbach, 2000; Lehmann, 2003; Smith, 2005), and student self- assessment skills (Bergee, 1993,1997; Bergee, Cecconi-Roberts, 2002; Hewitt, 2001, 2002, 2005). Some researchers have described general learning theories as they relate to the process of music practice (Lehmann & Ericsson, 1997; McPherson & Zimmerman, 2002), while others have grounded their research upon these theories (Giersbach, 2000; Leon-Guerrero, 2004; Hallam, 2001; Nielsen, 1997, 1999, 2001, 2004). Finally, researchers have studied ways in which private instructors teach students to practice (Barry & McArthur, 1994; Kong, 2001; Kostka, 2002). Yet, teaching students to practice efficiently remains a task that many teachers do not do with sufficient success (J orgensen, 2003). Little research in instrumental music practice has been conducted that focuses on the use of the self-regulative characteristics of goal setting and self-assessment within instrumental music practice. Geiersbach (2000) studied the types of goals made within the practice sessions of advanced musicians, while Austin ( 1991) and Smith (2005) investigated the effect of goal orientation upon achievement in band. Hewitt (2001, 2002) and Demorest and Montemayor (2004) investigated the effect of self-assessment upon achievement in musical performance. Other researchers in fields outside of music have studied the effect of goal setting upon self—regulation (Radosevich, et al., 2004; Schunk, 2001) Rationale for the Study The rationale for this study is based upon a developing understanding of self instructional theories as they relate to music practice. Discussions of predominant theories related to music practice, including self-regulated learning, deliberate practice, and cognitive learning will be introduced. Self-r ated Learnin One goal of teaching is for the teacher to be rendered obsolete by helping students to become proficient with their subject to the point that the teacher is no longer needed In the current information age, students must learn to teach themselves in order to be self- sufficient in learning fast-changing information and skills. Unfortunately, researchers have found that few teachers encourage students to establish specific goals, teach explicit study strategies or ask them to self-evaluate their work or estimate their competence on new tasks (Zimmerman, Bonner, & Kovach, 1996). Self-teaching, also known as self-regulation, includes planning, doing, and evaluating oneself (Jorgensen, 1995, Zimmerman 2000, and Hewitt, 2001). Multiple modes of metacognition are engaged as one engages in self-regulation. Zimmerman (2002) states that self-regulation of learning involves the self-awareness, self-motivation, and behavioral skill to implement knowledge appropriately and the selective use of specific processes that must be personally adapted to each learning task. The component skills include: (a) setting specific proximal goals for oneself, (b) adopting powerful strategies for attaining the goals, (c) monitoring one’s performance selectively for signs of progress, ((1) restructuring one's physical and social context to make it compatible with one's goals, (e) managing one's time use efficiently, (f) self-evaluating one's methods, (g) attributing causation to results, and (h) adapting future methods. A students' level of learning has been found to vary based on the presence or absence of these key self- regulatory processes (Schunk & Zimmerman, 1994; 1998). Self-regulation in music is a paradigm that describes how learners acquire the tools necessary to learn necessary musical skills on their own. McPherson and Zimmerman (2002) describe it as the processes and skills that students adopt or acquire as they mature into independent learners. Self-regulation is a cyclical process in which feedback obtained from prior performance helps learners to adjust their performance and future efforts. These feedback loops allow learners to adjust factors related to the environment, their own behavior, and their own cognitive and affective states. According to McPherson and Zimmerman (2002), students undergo a socialization process that facilitates the development of self-regulated skills. Through this process, students learn to develop self-motivation, task strategies, time management, and self-control, while also learning to structure their learning environment and seek appropriate sources of help. As students learn these skills, they pass through the four developmental levels of observation, emulation, self-control within structured conditions, and finally self-regulation. Zimmerman (1998 in McPherson & Zimmerman, 2002) developed a three phase cyclical process that self-regulated learners use to direct their learning (Figure 1). In this model, learners develop goals and self-motivation in the forethought phase, that proceeds to a perforrnanoe phase in which they use self-control to maintain their focus and provide self instruction. The self-reflection phase follows, in which the learner evaluates the quality of work, determines the causes for the results, and reacts to the results. This phase then leads back into the forethought phase for the next logical step in learning. Deliberate Practice The field of expertise theory has produced a large body of research that describes how experts in various fields develop their high capabilities. Multiple researchers have stated that expert musicians develop their skills over a period of at least ten years and accumulate over 10,000 hours of practice time in the process (Ericsson, Krampe, & Tesch-Romer, 1993; Sloboda, 1996; Jorgensen, H. 2003). Because practice time is an important piece of the puzzle in the development of expertise, Ericsson, Krampe, and Tesch-Romer (1993) state that students must be taught how to practice by teachers who aid in the diagnosis of errors, and provide informative feedback and remedial training. They also found that improved instruction appears to benefit learners with lower cognitive ability more than high-ability learners. Figure I. Self-Regulated Learning Cycle Phases. PERFORMANCE] VOLITIONAL CONTROL PHASE Self—control Self-instruction Imagery Attention focusing Task strategies Self-observation Self-recording Self—experimentation FORETHOUGHT SELF-REFLECTION PHASE PHASE Task analysis Self-judgement Goal setting 4—— Self-evaluation Strategic planning Causal attribution Self-motivation beliefs Self-reaction Self-efficacy Self-satisfaction / affect Outcome expectations Adaptive / defensive Intrinsic interest / value Goal orientation Ericsson, Krampe, & Tesch-Romer (1993) have developed a model of deliberate practice that is similar to the self-regulation model, and is based upon research in expertise and self-regulation. This model describes the type of practice that has, “the primary purpose of attaining and improving skills” (p. 367). It requires a well defined task with an appropriate level of difficulty, informative feedback, and opportunities for repetition. Motivation for continued practice is found in the desire for improvement. The process includes three self-teaching activities: planning and preparation, execution, and observation and evaluation. Metacognition is also a key factor in the model, as with the self-regulation model, as the practitioner uses his repertoire of strategies and monitors and controls their use. This type of practice does not consistently occur. Deliberate practice can only be sustained for limited periods of time because it requires great effort and concentration (Lehmann & Ericsson, 1997). Also, the primary purpose of practice is often for enjoyment and play as opposed to improvement. Therefore, to engage learners in more deliberate practice, it is necessary to help them to discern the difference between the two and to provide structure and supervision to encourage deliberate practice. Goal Setting Schunk (2001) states that effective goals are specific, proximal and appropriately challenging. They are involved across the different phases of the self-regulatory process and enhance self-regulation through their effects on motivation, learning self-efficacy and self-evaluations of progress (Schunk, 1995). Schunk (2001) states that effective goal setting requires that people set a long-term goal, break it into short-term, attainable sub- goals, monitor progress and assess capabilities, adjust the strategy and goal as needed, and set a new goal when the present one is attained This process of setting remedial goals enhances motivation by encouraging positive self-efficacy and helping students to attribute progress to stable factors within their control. The process of setting goals is a key component of both self-regulated learning and deliberate practice. Numerous researchers have found strong positive effects of goal setting on motivation and performance achievement (Barry and McArthur, 1994; Ericsson, Krampe & Tesch-Romer, 1993; Geiersbach, 2000; Pitts, Davidson & 10 McPherson, 2000; Lehmann, 2003). Ericsson, et al. (1993) state that goal setting is highly predictive of self-efficacy. Students who do not set goals are less likely to develop effective practice strategies and attribute performance failures to uncontrollable personal sources, such as low ability, and fail to perceive their chances for future success. Pitts, et al. (2000) found that students accomplish more and enjoy practice more when they practice to accomplish goals rather than practice for a required amount of time. Geiersbach (2000) developed a taxonomy of practice objectives designed to describe the different levels of complexity in a practicer’s goals. Lehmann’s (2003) findings suggest that practice behavior is commensurate with the students’ own goals. He also defined process goals as those goals that help lead to the ultimate outcome goal, and stated that self-monitoring of these goals facilitates self—controlled learning. By setting outcome goals and the procedural goals needed to reach the desired outcomes, students are engaging in metacognition. According to Hallam (2001b), “Metacognitive skills are concerned with the planning, monitoring, and evaluation of learning, including knowledge of personal strengths and weaknesses, available strategies . . . and domain lmowledge to assess the nature of the task and evaluate progress toward the goa .” As musicians become more proficient, they demonstrate an extensive use of metacognitive skills (Hallam, 2001b; Geiersbach, 2000; Nielsen, 1999). Assessment and Evaluation Assessment, in the light of the current No Child Left Behind legislation, is often seen as a summative tool to be used by teachers and administrators as a means of holding students, teachers, and schools accountable for student learning. According to Black and 11 William (1998), teachers risk a number of negative consequences when the educational environment focuses on evaluation in this manner. When the classroom culture focuses on evaluation as a means to compare students or provides extrinsic rewards to those who achieve at a certain level, students tend to focus on obtaining the best scores rather than on improvement. They spend time and energy looking for the right answer instead of assimilating the information into their own mental schema. This is rectified, according to Black and William, when assessment is looked upon as a formative tool, the student is the key assessment user and when students receive and produce feedback that describes the quality of their work, avoids comparison with others, and leads to the production of new goals. While Stiggins (2001) recognizes the value in assessment as an informative tool for others, he promotes the paradigm of the student involved as an assessment user. Viewed from this perspective, student-involved assessment is used as a tool to provide direction, communicate progress, and convey a sense of ownership for one’s own learning. Students who take part in showing evidence of their progress develop a greater sense of self-efficacy and learn to attribute assessment results to their own effort, while focusing on improvement as opposed to gaining rewards or avoiding failure. The experience gained through their involvement in their own assessment allows them to develop the skills necessary for them to become self-regulated learners. According to Chappuis and Stiggins (2002), when students learn to use assessment for the purpose of learning, “students become self-directed learners by developing their self-assessment skills.” The actual process of assessment becomes like instruction, as learners use the descriptive feedback they receive to make adaptations in 12 their future work This reasoning for the importance of self-assessment is reiterated in the writings of researchers in the field of self-regulation, as they describe development of self-efficacy and the self-regulatory process of forethought, volitional control, and reflection (Schunk & Zimmerman, 1994; McPherson & Zimmerman, 2002). Self-evaluation is also a key component of both self-regulated learning and deliberate practice in music because it provides students with feedback and spurs new goals (Lehmann & Ericsson, 1997; McPherson & Zimmerman, 2002). Schunk (1983) notes that students who have the capabilities to detect subtle progress in learning will increase their levels of self-satisfaction and their beliefs in their personal efficacy to perform at a high level of skill. Schunk (1994) and Zimmerman (1998) also found self- recording significantly enhancing to the self-regulatory cycle. McPherson and Zimmerman (2002) claim that students are inclined to evaluate their performances according to one of four criteria, including mastery, personal improvement, normative criteria, or collaborative criteria. Students who are mastery oriented tend to be more motivated in their practice because they generally feel a stronger sense of control over their own learning. While it may be important for students to self-assess, novice instrumental students tend to have difficulty assessing accurately (Hewitt, 2001). Self-assessment, like other practice skills, develops with experience and maturity (Hallam, 1997, in McPherson & Zimmerman, 2002). Novices who have not yet developed strong aural schemata are often unaware of their own errors, while more capable musicians are more aware of their strengths and weaknesses, know more about the nature and purposes of different tasks and adopt a larger range of strategies to meet their needs (Barry & Hallam, 2002). 13 Finally, Barry and Hallam (2002) claim that novices first focus on pitch as they assess themselves. As they develop their assessment ability, they begin to focus on rhythm, followed by other technical aspects of playing, and finally dynamics, interpretation, and expression, suggesting the existence of a hierarchy of self-assessment skills. Researchers in the music community have used self-assessment in a variety of ways. Self-assessment has been used in conductor training (Yarbrough, 1979 & 1987; Byo, 1990; Johnston, 1993), in the context of self-advisement within college music programs (Brown & Darrow, 1989), in teacher effectiveness training (Rosenthal, 1985; Madsen, Cassidy & Standley, 1989; Barry, 1994; Colwell, 1995;) and in music performance (Davis, 1981; Kepner, 1986; Bundy, 1987; Sparks, 1990; Bergee, 1993 & 1997; Byo & Brooks, 1994; Aitchison, 1995; Kostka, 1997; Sheldon, 1998; Hewitt, 2001, 2002 & 2005; Morrison, Montemayor & Wiltshire, 2004). The studies by Yarbrough ( 1979 & 1987) and the study by Johnston (1993) each measured improvement of conducting skills as students self-assessed videotaped conducting assignments while Byo measured student self-assessment of intensity contrasts in conducting gestures. The Madsen, Cassidy & Standley (1989) and Colwell (1995) studies both used self- assessment as a tool to teach teacher intensity within laboratory teaching experiences. Rosenthal used a case study method to study the effect of self-assessment on teacher effectiveness, and Barry’s action research used self-assessment as one of six factors to promote reflective thinking in an elementary music education course. Self-assessment research in the field of instrumental performance has enjoyed a great deal of expansion within the last decade. Researchers have attempted to discover the effect of self-assessment on the improvement of performance within an ensemble 14 (Byo & Brooks, 1994; Sheldon, 1998; Caliendo & Kopacz, 1999; Benton, 2002; Morrison, Montemayor & Wiltshire, 2004) and alone (Davis, 1981; Sparks, 1990; Aitchison, 1995; Kostka, 1997; & Hewitt, 2001,2002 & 2005), while others have compared self-assessments with those of experts and peers (Kepner, 1986; Bundy, 1987; Bergee, 1993 & 1997; Hewitt, 2001,2002 & 2005; & Oare, 2005). Hewitt’s (2001, 2002 & 2005) studies along with the study by Morrison, et. al (2004) observed the effects of modeling combined with self-assessment on student learning and Davis (1981) studied the effects of student performance when self-assessment was combined with singing. Studies by Kepner (1986), Bundy ( 1987), and Care (2005) have examined the differences in live versus recorded self-assessments. Finally, many of the studies have measured the effect that self-assessment has upon student attitudes in practice and in music (Davis, 1981; Sparks, 1990; Aitchison, 1995; Kostka, 1997; & Hewitt, 2001, 2002 & 2005). _S_tr_at§gies to Develop Performance Skill When considering practice strategies, ones must consider how students learn before deciding which strategies should be used. Researchers in the field of neurology have discovered a number of aspects about memory that influence learning (Wolfe, 2001). First, the brain automatically filters out competing stimuli to aid in focusing on the most relevant sensory information. This helps to explain why novices often have difficulty paying attention to the most important information during new experiences (Barry & Hallam, 2002). Once the brain chooses what to focus on, the stimulus remains in the working memory for only 15 to 20 seconds unless it remains as the focus of attention. This information becomes retained in long term memory through elaborative 15 rehearsal and consolidation, which is enhanced when the learner associates the new learning with past experience or when it is connected to strong emotions (Watson, 2006; Wolfe, 2001). Sanders (2004) described a schema theory of motor learning in which learners develop a motor schema for related actions. This schema, also called automaticity, is a learned relationship in which similar actions are remembered as a single unit of kinesthetic thought. Watson (2006) explains that, the more ofien a pattern of neurons is activated, the more efficient the synapse becomes, causing the responsibility for the task to move from the conscious to the subconscious. Technical exercises of various types, including those based on scales, are designed to inculcate such motor subroutines. Sanders describes the process of developing this automatic action as one that begins with verbalization of each movement and moves to a closed-loop routine in which the actions are monitored by the learner until the skill finally becomes automatic. Watson states that successive training sessions produce additional increments of improvement that become progressively smaller until an upper level of proficiency and automaticity is reached that may be retained for months or years. Caine and Caine (2005) remind us that students learn more effectively when they are involved in experiences that engage multiple senses. They suggest that students need to use multiple strategies during learning. Nielsen (1999) found that advanced organists spontaneously invented new practice strategies customized to their needs. Rosenthal (1988) found significant differences in rhythm, phrasing, tempo, and dynamics when students used a number of practice strategies. Others have found that practice strategies 16 tend to change as musicians progress through different stages of preparation of a piece of music (Lisboa, T., Chaffrn, R., Schiaroli, A. & Barrera, A., 2004; Nielsen, 1999). Caine and Caine (2005) also state that students increase learning when new patterns are linked to what they already understand. By analyzing new material, one is able to make connections with previous learning (Barry & Hallam, 2002). Geurrero (2004) found that students would often draw on previous musical knowledge while practicing. Others found that novice students are often unable to transfer theoretical knowledge of music to the learning of the pieces they are playing (Barry & Hallam, 2002). Hewitt (2001) suggests that this is because they compartrnentalize knowledge without being aware of the interconnectivity of theory with performance. Many researchers have found that mental practice may accelerate the acquisition of new motor skills (McPherson & Zimmerman, 2002; Watson, 2006). Others have discovered that the process of mentally practicing specific skills activates some of the same neural structures used for the actual movements (Barry & Hallam, 2002; Watson, 2006). Barry and Hallam (2002) suggest that mental practice is more effective when it is combined with physical practice. It is also more effective when the learner has some prior experience with the skill being practiced. Summa_ry Caine and Caine (2005) emphasized that learning is developmental in that students develop new playing skills by building upon previous learning. The same is true as they learn to practice. Just as teachers help them gradually develop their playing skills, they must also help them gradually develop their practice skills. The more effective educators are in this realm, the more students will become self-regulated learners. l7 The theories of self-regulation and deliberate practice have provided an effective beginning point for a number of music education researchers who are interested in studying the practice of musicians, though relatively little of the research has focused on novices. Hallam produced a number of articles based on a study in which she compared the practice strategies used by novice and expert musicians (1995; 2001a; 2001b). Barry (1992) studied the effects of practice strategies and cognitive style differences on practice. Miksza (2005) assessed the effects of mental practice on performance achievement, and Leon-Guerrero (2004) investigated the self-regulatory strategies of middle school band students. Davidson, Sloboda and Howe ( 1996) looked at the roles of parents and teachers in facilitating student success. Finally, McPherson, et al. have published a series of articles based upon findings from a three year longitudinal study of beginning instrumentalists from New South Wales, Australia (McPherson, 2005; McPherson, Davidson, & Pitts, 2000; McPherson & McCormick 1999; McPherson & Renwick, 2001; McPherson & Davidson, 2002; Pitts, Davidson & McPherson, 2000; Pitts, & Davidson, 2000; Renwick & McPherson, 2002). More research needs to be conducted that focuses on ways in which instrumental music students use the self-regulation concepts of goal setting and self-assessment. While a COpious amount of research in this subject has been conducted with experts, relatively little has addressed novice musicians. Even less research has attempted to describe the thought processes of novice musicians while they were engaged in practice. With greater understanding of student thought processes as they set goals and assess themselves, it is hoped that educators may begin to develop more effective methods for facilitating efficient practice. 18 Purpose of the Study The purpose of this study is to discover how students use goal setting and self- assessment within their personal practice sessions and how these aspects of self- regulation affect strategy choice and motivation. The information revealed in this study will inform teachers of the capabilities of students to use self-regulatory skills and strengthen their foundation for effective teaching of practice skills to young musicians. The insight gained from this study regarding student use of goal setting and self- assessment will serve to inform teachers about ways in which they can help students make more effective use of their practice time and reach their musical potential. Specifically, the research questions for this study are as follows: 1. What goal setting and self-assessment comments do novice, adolescent instrumental musicians make during instrumental practice? 2. What goal setting and self-assessment strategies do novice, adolescent instrumental musicians use during instrumental practice? 3. Are there differences in practice strategies found among students when they are deliberately involved in goal setting or self-assessment compared to times when they are not setting goals or self-assessment? 4. What strategies do students use to address various technical aspects of performance (rhythm, notes, articulation, etc)? 19 Chapter Summary Understanding how students think as they engage in practice is the first step toward helping them learn to practice effectively. This study will examine the thought processes of novice instrumental music students as they make decisions related to what and how they practice. It is hoped that the information gleaned from this study will inform music educators and suggest ways in which they can effectively facilitate learning experiences that result in improved student practice. The writings of McPherson and Zimmerman (2002) on self-regulated learning and Sloboda (1996) and Ericsson, Krampe, and Tesch-Romer (1993) on deliberate practice offer a basis upon which researchers can analyze how musicians learn on their own. Further, the verbal report methodology described by Ericsson and Simon (1993) provides an avenue by which researchers can discover the inner thought processes of student musicians. Similar studies by Barry ( 1992), Geiersbach (2000), Leon-Guerrero (2004); Hallam (2001a & 2001b), Nielsen (1997, 2001, & 2004) and McPherson, et al. (1999, 2000, 2001, 2002 & 2005) provide guidance and a foundation upon which this project can stand. 20 CHAPTER 11 REVIEW OF RELATED LITERATURE This chapter will present the findings from a number of studies related to this dissertation. Related topics in practice research include the analysis of the practice of expert musicians, the effects of structure and supervision in practice on achievement and retention, and perceptions of practice education engaged by private instructors. I will discuss the use of verbal report protocols in music education, and review studies related to goal setting within a self-regulation context. Finally, I will review self-assessment research in music education. The Use of Verbal Reports in Music Education Research Verbal reports, also called verbal protocols or think alouds, have been an important part of psychological investigations since the advent of the science of psychology. When used data gathering technique, participants are asked to essentially say out loud what they are thinking in their head as they engage in various activities. Richardson and Whitaker (1996) state that the verbal report method is a valid, rigorous research technique that provides investigators information concerning the thought processes of subjects as they complete a task. Verbal reports are a key source of data for researchers in the fields of cognitive psychology, cognitive science and behavior analysis. Recently, researchers have begun to use verbal reports in usability studies, as the verbal report, or “think aloud” sessions inform computer programmers of the thought processes computer users go through as they navigate new programs. Researchers in the field of education have also begun to realize the wealth of information that can be gleaned from 21 the study of student thought processes while completing tasks in reading, solving mathematics problems, and translating foreign languages (Kucan & Beck, 1997). The value of the verbal report technique is that it provides researchers with information regarding the thinking that occurs as a subject performs a task. Other methods of research must rely on observation and the analysis of completed works. These forms of research can then only infer what thoughts actually occur within the mind of the subject. Educators have found that verbal reports can improve teaching in a number of ways. Kucan and Beck (1997) state that verbal reports can be used as a method of inquiry, a mode of instruction, and as a means for encouraging social interaction. As a method of inquiry, Kucan and Beck discuss the use of verbal reports while analyzing the reading process during reading, during recall, and in error detection. As a mode of instruction, they describe the use of verbal reports as a tool the teacher may use while demonstrating the performance of a task. Verbal reports have been established as a valid methodology for collecting data related to understanding the thought processes of subjects while they are engaged in various activities (Ericsson & Simon, 1993). However, researchers have only recently begun to use this methodology within the discipline of music education. Researchers in music education have used verbal report methodology in studying students while engaged in composition (Younker, 1997; Younker and Smith, 1996) while others have used the methodology to analyze conducting experiences (Hasty, 2004). Still more have had participants provide verbal reports while listening to music (Bundra, 1993; Williams, 1997; Kerchner, 1998; Richardson, 1996). Finally, verbal reports have been used as key 22 data sources for the analysis of participant thought processes while practicing (Nielsen, 1997, 1999, 2001, 2004; Geiersbach, 2000; Leon-Geurrero, 2004). Ericsson and Simon (1993) state that verbal reports are reliable when they focus on subjects’ cognitive processes as they engage in activities that require their attention. The key is for the data to be collected while the subject’s thoughts are still in short term memory. Therefore, the most valuable reports are those that are given while the subject is performing the task or immediately after the completion of the task. This is identified as concurrent think aloud (CTA) and retrospective think aloud (RTA). Music Research Using Verbal Reports A number of studies have analyzed the thought processes of instrumental musicians while practicing. Nielsen (1997, 1999, 2001, 2004) was among the first to have used verbal reports as data in her research. Nielsen’s studies used CTA, RTA and videotape analysis of first one, and then two advanced organists enrolled in a Swedish conservatoire. She used self-regulation theory to guide her development of a coding scheme for the analysis as she looked for apparent self-regulating skills used by the participants during their practice. Conclusions from this study suggested that the students proceeded through a number of stages as they prepared a piece of music for performance. As the students moved from stage to stage, Nielsen found that the strategies used and the aspects of music on which they focused changed Nielsen’s (1997) case study analyzed the methodological issues of a single organ student preparing a musical piece for performance. The purpose of the study was to determine the value of verbal reports in the study of music practice. It describes how 23 verbal report analysis was modified in order to be used in a practice setting and details how trustworthiness issues were alleviated Nielsen videotaped an advanced Norwegian organ student while practicing. The student was asked to provide CTA while practicing and then provided RTA while watching the videotape of the practice session. Through this study, Nielsen found that concurrent and retrospective verbal report methods were both effective techniques for gathering information about the thoughts of advanced musicians during practicing and problem-solving. Buoyed by the success of the first study, Nielsen (1999) analyzed the practice of two advanced organ students in their third year of a Norwegian university while they each practiced a different piece of music. The purpose of the study was to describe the self-regulated practice strategies demonstrated by the students. Data included video observation of practice on the first day, one hour of CTA while being videotaped during the second practice day (students were asked, “what am I thinking or focusing on?”), and RTA reflecting upon the initial practice stage and second stage. This data collection occurred during the first two practice sessions of the first and of the second learning “stages” for the new piece, though the stages were not defined. From her literature review, Nielsen chose to focus on three types of practice strategies, focusing on the selection of relevant information to master tasks, organization of information, and the integration of these new droughts and skills with existing knowledge. Results from the study show that an extensive repertoire of self-regulatory strategies varied slightly between the students and by stage of preparation of each piece. The second stage of learning used the same strategies as in the first level, plus the creation of various exercises to help solve issues. Students spent more time selecting and organizing sections 24 needing work, practiced longer segments of music, and used multiple solutions for problems at each stage of learning. Nielsen used the same data in 2001 to analyze the students’ use of self-regulatory skills within their practice sessions. The students demonstrated many skills related to self-regulated learning as they set goals, planned methods of incorporating the new skills into their playing, monitored progress of selected musical components, chose and created practice strategies, and revised goals and criteria of performance. The skills enabled them to optimize their learning and performances, taking into account interpersonal, contextual, and intrapersonal conditions. In 2004, Nielsen used a survey of first-year Norwegian undergraduate music students to determine the cognitive and metacognitive practice strategies that were most relevant to improving performance and to correlate their perceptions of self—efficacy to these practice strategies. Self-efficacy was defined as "people's judgment of their capabilities to organize and execute the courses of action required to attain designated types of performances." Her review of literature emphasized that previous studies in other academic areas have shown strong, positive relationships between self-efficacy beliefs and the use of study and learning strategies, and also to persistence and performance. Students who were confident about their academic abilities persisted longer and worked harder. The principal result of this study was the strong association between self-efficacy and actual performance, and the clear superiority of self-efficacy as a predictor of actual performance. Students who were confident about their ability to learn used more learning and practicing strategies. 25 The male students in the study generally rated themselves as more efficacious and made greater use of critical thinking strategies than female students. Female and male students reported using the same range of learning strategies, though male students reported making significantly more critical evaluations with respect to standards of excellence than female students. The study indicated that most of the students used a full range of strategies rather than one particular type, though they tended to use fewer help- seeking and peer-leaming strategies than other strategies. The study also reported that many music students enter higher education feeling they have not been taught how to practice by their previous teachers. Nielsen also mentioned that, though results of this study and others show the strong relationship between self-efficacy and performance ability, little is known regarding the factors involved in helping students come to believe in their own abilities to perform well. Nielsen’s studies are valuable models for the present investigation. Her establishment of verbal reports as a trustworthy method of data collection supports the current method. Further, the delineation of goal selection, organization of strategies and association of strategies, combined with findings of other research related to monitoring of progress, provide a framework upon which an initial set of categories for analysis can be constructed. The purpose of Geiersbach’s study (2000) was to test a taxonomy of practice objectives designed to describe different levels of complexity in a practicer’s practice that he developed from his review of research. The taxonomy was based on Gruson’s (1981) research and used five categories of goals: unpremeditated, repetitive, technical, interpretive, and metacognitive (see Table 1). Geiersbach’s taxonomy, like Gruson’s, 26 used categories that describe levels that move from behaviorist activity into more abstract means of practice. The study investigated the practice of twelve graduate students, five male and seven female, in music education. Each participant was videotaped as they practiced pieces of their own choosing, in their customary practice environments, during three one- hour practice sessions. Participants essentially engaged in concurrent think aloud (CTA) as they described their philosophies of practicing and provided and their thoughts on their own learning processes while practicing. Following their practice, participants reflected on their work in video stimulated retrospective think aloud (RTA). Geiersbach also collected data through interviews and analysis of the practice videos. He found through his analysis that the participants used each level of his taxonomy of objectives while focusing on technical and interpretive aspects of playing. Participants concentrated on three key components of practice objectives, including goal setting, playing, and reflection. Higher order thinking was reflected in goal statements and reflections that transcended technical concerns and instead focused on abstract interpretive aims. Lower order thinking was illustrated in practicer verbalizations, which suggested repetitive or technical aims. Table 1 .' T mommy of practice objectives 1. Unpremeditated Describes practice without goals, analysis, reflection, or wait time between repetitions and lots of stops and starts 2. Repetitive General plans are apparent with repetitive goals, little analysis, still little wait time, repetition of incomplete musical units, and simple observations generally concerning errors after playing 3. Technical Plans are in regard to technical accuracy and analysis, repetition and self-critique occurs at only a technical level, wait time is irregular. 4. Interpretive Plans are related to expressive playing, analysis is extensive and uses theory terminology, reflection is concerned with expression, wait time is at regular intervals, and repetition is of complete musical units. 27 Table 1 con ’1 5. Metacogrritive Plans are expressive in nature, interpretive and emotional goals are stated, extensive score analysis uses theory and stylistic terminology, reflection is empathetic, wait time is common, repetition is of complete musical units and uses a high degree of self-awareness, mostly exemplified by creative playing through improvisation or composition. The data analysis suggested that multiple benefits occur as one begins to organize practice objectives. Participants who engaged in the higher order objectives developed motivation for the process by acknowledging progress toward their goals, playing uninterruptedly, evaluating the effectiveness of methods, and reflecting on playing in holistic or expressive ways. Leon-Geurrero (2004) studied the self-regulation strategies used by middle school band students in their practice. She defined self-regulation as, “the process of improving individual performance by self-monitoring during a given task Planning, organizing, self-instruction, self-monitoring and assessment repeatedly occur through the task completion process.” The participants for the study were 16 seventh and eighth grade students who were enrolled in a band class taught by the researcher. The students in the study were each videotaped while they practiced a given musical exercise during a 15 minute session. Students provided CTA while they practiced and, immediately after, reviewed the videotape of their practice while engaging in RTA with the researcher. Video analysis, along with the CTA and RTA, provided triangulation for the study. The analysis of data focused on answering research questions aimed at identifying the self-regulatory strategies reported by novice, adolescent instrumental musicians during practice and after practice, as well as strategies observed through video analysis. Leon-Guerrero also proposed to identify tendencies found in the self-regulatory strategies 28 used by musicians with different (a) years of experience, (b) gender and (c) instrument played. Data from CTA and RTA were transcribed. Video of each practice session was transcribed in a five step process. First, CTA comments were recorded. Next, notations were made regarding what the students played and when they stopped. The third stage determined if student starts and stops were due to performance errors. Finally, non-verbal gestures were analyzed, followed by a last review of the video to check the transcripts. Leon-Guererro divided student comments into segments that included a single complete thought She then assigned each segment a code based on the three categories of problem recognition, strategy selection, and evaluation of performance, suggested by Nielsen (2001), as well as a miscellaneous code for comments that did not address a defined category. Next, she analyzed comments within the category of strategy selection, and 24 different strategies were identified and then condensed into four broad categories of strategy: musical elements, repetition, non-playing tasks, and non-specific tasks. She then tallied codes in order to determine how often each code was used and how many students used them. Leon-Guerrero coded the video transcriptions using Chaffin and Irnreh’s (2001) categories of “runs” (instances in which students played through their music) and “works” (instances that students worked at improving isolated chunks of their music) at a macro-level and then coded the data at a micro-level using codes suggested by McPherson and Renwick (2001). These codes initially included playing only, moving, counting, thinking, singing, and fingering; but more specific codes were added as data 29 were analyzed. These codes were then tallied in order to determine the frequency of each code during student practice. Finally, Leon-Guerrero used demographic data supplied by a questionnaire to analyze her final question regarding tendencies of self-regulatory strategies used by students of different genders, instruments, and years of experience. The CTA, RTA and video analyses were then re-examined by groupings: male/female, brass/woodwind, and seventh grade/eighth grade. Numbers of comments and numbers of students using the comments were then tallied and compared across groups. As she tallied her codes, Leon-Geurrero observed 15 types of self-regulatory strategies. The most common was restarting a measure (41%) and was seen in all 16 participants. She found that repetition was used in over half of the codes in the video analysis and was the most common code in CTA analysis, but was second to musical elements in the RTA analysis. This suggests that a disconnect may exist between what the students know they should be doing (as expressed during the RTA) and what the students actually do (as witnessed by the CTA and video). Leon-Guerrero found that repetition was the predominant approach to practice and that it can be applied in multiple ways. Gruson (1988) and Hallam (2001) also found that students frequently use repetition of short segments, measures, and single notes as a practice strategy. Also, students were found to draw on previous musical knowledge while approaching practice, which is similar to findings of Chaffin & Inrreh (2001). They also demonstrated musical awareness and the capability of incorporating musical elements into their performance. Student use of non-playing strategies also demonstrated that some students were capable of planning as they approach practice. 30 Nine of the 16 participants tended to practice in sections while the rest tended to practice from the beginning to the end of the piece, illustrating a common problem in student practice habits. One reason for this could be that the piece could have only been minimally challenging for some of the students, therefore requiring larger chunks of music to be practiced. This study provides a base for the current project. First, the CTA & RTA data gleaned by Leon-Guerrero indicate that novice, adolescent musicians are able to provide informative verbal reports of their self-regulating strategies during music practice. Next, this study serves as a model for assignment of a multi-layered set of codes that are initially based on prior research and then modified to fit the current situation. While her results provide a new perspective regarding how novice musicians practice, Leon- Guerrero did not address why they make their decisions. It is my belief that, by analyzing the goals students have in their practice and their assessments of progress, I may be able to learn more about the underlying reasons that inform students’ decisions about what they practice and how they practice it. Summary of Verbal Report Research Verbal report have become an important tool for educational researchers. It is gradually becoming a more common data source for researchers in music education. The use of verbal reports provides a deep, rich perspective into the thought processes of participants. When combined with other research tools based on observation and the analysis of artifacts, researchers can use verbal reports to gain a more complete 31 understanding of the thinking that takes place inside the heads of musicians. This, in turn, will begin to suggest new, more effective ways of teaching. The number of research studies in music education that use verbal reports as data is relatively small, and there is room for more research using this methodology. One topic in which verbal report data may be appropriate is the study of the decision making processes related to the development of daily practice goals. Verbal reports could also be used to understand how students assess themselves and how they use the resulting information. Other studies can analyze the ways in which students remediate their own learning. Studies in the Development of Practice Skills The following studies have each investigated multiple factors that effect self- regulated instrumental music practice. When taken as a whole, three key concepts emerge: motivation, goal orientation, and strategy selection. Other concepts, such as structure of practice, self-monitoring or self-assessment, supervision, and the development of practice skills also emerge within these studies, but to a lesser extent. Ericsson, Krampe, and Tesch-Romer’s (1993) seminal article was a review of literature that focused on the role of “deliberate practice” in the acquisition of expert performance. Their review of the development of expertise found that, to acquire top levels of performance in most domains, one must deliberately practice their skill over a long period of generally more than 10 years. Also, they found that experts in their chosen field tend to start their learning at a young age and spend 2 to 4 hours per day in deliberate practice. 32 They differentiate “deliberate practice” from other types of practice by explaining that one engages in deliberate practice when he places a great deal of concentration into the practice process. This practice is constrained by resources, effort, and motivation, and they found that people can effectively engage in this type of exercise for limited periods of time. Deliberate practice considers motivation, previous experience, feedback, repetition, and strategies. Without it, learning and improvement are significantly slowed. Ericsson, et al. (1993) found that students who reach a plateau in their skill development must increase their effort in order to rise to the next level in their performance. To do this, they must change their training methods and use multiple activities that promote the acquisition of associated skills needed to propel them to a higher level. Students become motivated to practice deliberately by considering long- term effects. Whereas work and play create extrinsic or short term rewards, students who engage in deliberate practice are able to accept delayed gratification in order to enjoy the long term benefits of their effort. Ericsson and Lehmann (1997) examined the implications of the deliberate practice model for the education of amateur musicians and music students. They listed the key characteristics of deliberate practice as feedback, goal setting, and monitoring, and emphasized that practice must be deliberate and thoughtful in order for learned skills to be applied to new experiences. They recommended peer assessment, because this provides feedback for the performer and helps students learn to monitor and internalize their personal goal setting. Various forms of supervision, such as using peers as practice partners, asking for advice from more advanced musicians, and self-supervision using a 33 practice diary were also recommended as means to enhance feedback, goal setting, and monitoring. Ericsson and Lehmann warn of the hazards of over-repetition. They acknowledge that repetition leads to increased automaticity that requires the performer to exert less effort to obtain the results. But, this phenomenon leads to improved performance only if the level of effort put forth by the musician is maintained by attending to more elements of the music being performed. According to them, “Building mastery in a domain and finding the least effortful method to attain a specific performance goal are different activities. This distinction is crucial for separating a performance that has been entrenched through mindless drill from one that is flexible and adaptable through the use of mental representations - a hallmark of expert performance” (p. 49). Chaffrn and Imreh (2001) studied the practice of a concert pianist (lrnreh) during her process of preparing the Presto from J. S. Bach’s Italian Concerto for performance. They made video or audio taped recordings of 57 practice sessions, totaling over 30 hours of data During each session, Imreh commented on her actions and thought processes and gave appraisals of her progress at the end of sessions 12 and 24. The researchers transcribed each practice session by recording the measures in which each practice segment started and stopped. A practice segment was defined as a section of playing that, “was not continuous in the score.” The researchers found high correlations (.8 and .9) in their transcriptions by independently transcribing a number of same practice sessions and correlating the number of starts and stops and repetitions of practice segments for each measure. They were then able to construct graphic representations of practice segments related to each bar of the composition. Next, the researchers transcribed Imreh’s 34 comments and correlated them to their appropriate measures. Chaffin and Imreh identified a total of 20 codes, organized into four broad groups: basic (fingering, technical difficulties, and identification of patterns), interpretive (phrasing, dynamics, tempo, and pedal use), performance (memory, attention, musical structure, and score use), and metacognitive issues (self-assessment, descriptions of plans, learning process, etc.) The first three sets of codes (basic, interpretive, and performance) served as criteria for the analysis of performance features in each measure of the Presto. The researchers used a regression analysis to determine if the number of performance features per measure served as predictor variables for the number of starts, stops and repetitions encountered during practice. This analysis of data suggested that the process of learning a new piece of music can be divided into three separate learning periods in which the basic performance features affected the first two periods and the interpretive features affected the last two periods, while the performance features were apparent throughout the process. The researchers found that the pianist’s verbal reports showed “striking correspondence” (p. 65) between the amounts practiced in two sections of music and the number of basic features identified in each section. The regression analysis also related to the pianist’s practice goals in comparison with the frequency of comments of basic, interpretive, and performance dimensions. Chaffin and Inrreh found that the analysis of practice and verbal reports did not correspond in cases. At times, verbal comments did not acknowledge potential practice areas, though analysis of practice demonstrated that these were, in fact, being isolated for 35 practice. The researchers listed a number of possible explanations, including the observation that some features of practice were routine and did not attract comment. By finding slightly different perspectives in their analysis of practice and of verbal reports, they suggest that it may be necessary to obtain multiple sets of data in order to fully describe practice. This observation is substantiated by Ericsson and Simon (1980). Lisboa, Chaffin, Schiaroli, and Barrera (2004) conducted a study similar to that of Chaffin and Imreh. In their study, an experienced cellist (Lisboa) was observed while undertaking the process of preparing a new piece of music for performance. Over 17 hours of practice sessions were videotaped, and the cellist provided comments regarding her thought processes. Data was transcribed similar to Chaffrn and Imreh. The purpose of the study was to determine how the way a piece is practiced and memorized affects its performance. The researchers found that Lisboa, as did Imreh in the previous study, progressed through three learning periods separated by intervals of time in which the piece was not practiced. These three periods could further be divided into five or more different stages of learning. Each stage was entered at different times for each section of the piece. The first three stages, sight reading, exploring the music, and smoothing out, roughly relate to the first learning period. The second learning period began part way through stage three and continued through most of stage 4, defined as listening to the music, and the third period began at the end of stage four and continued through stage 5, defined as trial performance. The researchers anticipated that at least one further stage related to polishing of the piece would be encountered as the project continued. 36 Both of the studies conducted by Chaffin, et al., as well as the recommendations by Ericsson and Simon (1993) provide support for the methodology chosen for this study. By observing practice from multiple viewpoints, it is possible gain a deeper understanding of how one practices. While a researcher can only assume what is being thought while observing practice, the concurrent think aloud can provide corroboration of the researcher’s assumptions. On the other hand, it is quite common for some thoughts to go unsaid by participants for various reasons. The analysis of practice aids in identifying these non-verbal thoughts. Next, these studies strengthen the findings of Ericsson and Lehmann (1997) regarding the necessity to change practice strategies in order to move on to the next level in performance. Once a level of automaticity is attained, the musician must use different practice strategies in order to move to the next level of performance. This finding may inform the analysis of the current study as codes are developed for repeated exercises separating purposeful repetitions from mindless or low effort repetitions. Gruson (1981) investigated the development of practice skills of Canadian pianists who spanned a continuum of performance levels from novice to artist. Forty- three piano students between the ages of 6 and 23 and three professional pianists were observed over 10 practice sessions. Gruson scripted each practice session at five second intervals and developed codes for the practice techniques that the subj ects used. In order to gain an understanding of student practice behaviors, a number of statistical analyses were performed, including correlations, descriptive statistics, and analysis of variance. Students were all rated according to the Royal Conservatory of London evaluation system. A subset of students at novice (Grade H), intermediate (Grade VI) and advanced 37 (artist) levels, along with the concert pianists were then interviewed in regard to their knowledge about the strategies they used when they practiced. Gruson’s findings suggest that, as students improve in performance ability, the size and complexity of repeated musical sections increases. Advanced students also tended to pause and play one hand at a time more, verbalize self-instruction more, and spend more time practicing a single piece than less skilled students. Gruson also found that more competent practicers developed automated skills, leading to less conscious control of motion. As a result, mental slips tended to increase in frequency in advanced practice sessions rather than decreasing with practice. This again corroborates the findings of Ericsson and Lehmann (1997) which discuss the negative consequences of mindless practice once automaticity is attained. Student interviews also corroborated Gruson’s observational findings, while also indicating that more advanced students tended to demonstrate metacognitive skills that were more articulated, varied, goal-directed, and cognitively complex than less experienced students. The purpose of Barry’s study (1992) was to determine the effects of field dependence/independence and gender upon the technical accuracy and musicality of student instrumental performance under both structured and free practice conditions. F ield-dependence/independence was assessed by the Group Embedded Figures Test (GEF T). The subjects for the study were 57 (34 male & 23 female) brass and woodwind instrumental students enrolled in a summer music camp. The subjects, who were in seventh through tenth grade, were equally divided according to the results of the GEF T and then assigned to either a free practice group or a structured practice group. Students in the structured practice group were supervised as they practiced and were asked to use 38 strategies such as mental practice, analysis of the music, and specific drills. Subjects had four short practice sessions distributed across two weeks. Pre-test and post-test performances were evaluated by three independent judges with a high degree of reliability. Independent variables for the study were the student practice condition, field dependence/independence, and gender, while dependent variables included melodic & rhythmic accuracy and musicality as measured by the improvement in scores from pre- test to post-test. Barry used a 2x2x2 analysis of covariance to analyze the data and found significant main effects for the practice condition for all dependent variables. The data indicate that the practice procedures used by students in the structured practice group were more conducive to improvement in musical performance than the free practice techniques chosen by the students in the second group (p<.05). While this was true for both girls and boys, Barry found that girls from the free practice group improved more than the boys from the same group. These findings support prior research that suggest that supervision of practice as well as an organized plan of practice is an effective means of improving musical performance. Barry also analyzed videotape recordings of each student’s practice. Students in the free practice group were allowed to practice in any way they chose. Subjects in this group tended to play the music over a number of times from start to finish, quietly analyzed the music, break it into small chunks, write in fingerings, and identify difficult spots. Comparison of the videotapes of structured and free practice variables showed differences in tempo, metronome use, mental practice, and identification and correction of trouble spots. Generally, free practice students tended to play their music faster and 39 use the’metronome less, while structured practice students tended to use mental practice, tap rhythms and mark and correct errors. Though Barry was able to identify a number of significant reactions, she was not able to generalize the findings to a broad population. Because the study used a relatively small sample of self-selected students involved in a summer band camp, the sample was not sufficiently random. Also, the lack of training given to the experimental group limited their ability to fluently use the practice structure in an efficient manner. Therefore, results from further investigations of the same students may be significantly different as they become more fluent in their ability to follow the given practice structure. Hallam published seven separate articles based on the same study, examining the nature of planning and metacognition in musicians and how they change as expertise develops, though only three will be discussed in this review (1997, 2001a, 2001b). The subjects for Hallam’s study included 22 professional freelance musicians and 55 novice string instrumentalists, ranging in age from 6 to 18. All subjects in the study engaged in send-structured interviews regarding their approaches to practice. Both expert and novice musicians were asked what activities they would use to practice a specific piece of music. The novice musicians were also tape recorded for ten minutes while practicing and performing a short, developmentally appropriate piece of music. The final performances were then assessed by two independent judges and interview data were independently coded by three judges. In 1997, Hallam used the data taken from interviews with the professional and the novice musicians to analyze the strategies each group used for memorizing music. She found that individuals used various strategies from a diverse array of options, depending 40 upon the nature of the material to be memorized. Subjects engaged aural, visual, and kinesthetic modes of thinking to aid in memorization and simultaneously adopted several other strategies to reduce anxiety related to performance. A key finding was that music memorization strategies changed as expertise deve10ped. Professional musicians were more likely to inform their memory through analysis of the score and design memory devices to aid in differentiating similar passages. Acknowledging that musicians require several metacognitive skills in order to practice, Hallam explored the development of metacogrrition and performance planning strategies used by both expert and novice musicians in her next study (2001a). She once again used data taken from interviews, as well as data taken from the analysis of the videotape of novice student practice. Her findings suggest that experts possess extensive metacognitive skills, such as self-awareness of strengths and weaknesses, knowledge of various techniques to address different tasks, and knowledge of self-regulative strategies such as monitoring, adjusting and concentrating. The professional musicians demonstrated that they have “learned how to learn,” and extensively used metacognition in relation to their preparations for performance, encompassing technical matters, interpretation, and issues relating to learning itself (e.g., concentration, planning, monitoring, and evaluation). In learning a new piece of music, professionals generally progressed from an overview of the whole piece of music, either through playing or score analysis, to identification of difficult sections. These sections varied from person to person, based on their knowledge of their strengths and weaknesses and the idiosyncrasies of their instrument. A number of strategies for addressing the 41 difficult sections were identified that fit within the two overarching categories of analysis and repetition. Although there were similarities in the strategies adopted, there was considerable variation based on individual need. In the novice musicians, there was a complex relationship between the development of expertise and the use of planning strategies. Hallam saw qualitative change in practice expertise with older, more experienced students. Also, as age and grade level of novices increased, total practice time increased and, the length of practice sessions increased concurrently with level of expertise. To analyze the planning novice and advance students undertake in relation to the videotaped practice, Hallam set criteria to distinguish high, moderate and low levels of planning. Criteria for high levels of planning included the completion of task requirements, speedy identification of difficulties, emphasis of practice on difficult sections, and integration of the sections practiced into the whole for performance. Moderate level criteria were completion of task requirements, evidence of on-task behavior but repetition of large sections of the work rather than a focus on difficulties and no integration specifically towards performance. She described criteria of low levels of planning as incompletion of tasks and considerable amounts of time off task. Eleven of the advanced students exhibited high levels of planning in their recorded practice, while five (12.5 percent) of the novices did so. Twenty—eight novices (70 percent) showed moderate levels and seven ( 17.5 percent) demonstrated low levels. Ten percent of the novices and 33 percent of the advanced students demonstrated high levels of planning in daily practice, characterized by specified aims of practice, a consistent order of practice, self-imposed organization of when practice was undertaken 42 and a tendency to mark things on the part. Sixty-five percent of novice and 66 percent of advanced students demonstrated aspects of moderate planning, such as undertaking some organization of practice, and organizing time. Twenty-five percent of the students were categorized as having low planning skills. Characteristics of this group included not having a consistent practice time, being in need of constant reminders to practice, wasting time repeating unnecessary material and being disorganized in their work. Hallam (2001a) found that students become familiar with specific learning strategies in parallel with their development of musical skills and knowledge. She suggests that a key component of this development is the cultivation of accurate internal aural representations of the music they are learning (Hallam, 1994; 1998b). She determined that repetition may be the most effective means of practicing in order to develop a level of technical automaticity, and that students must develop rudimentary playing skills before they can “learn to learn.” Teachers may facilitate this process when they demonstrate practice skills with their students. She recommended encouraging students to: consider personal strengths and weaknesses; assess task difficulties; select appropriate practice strategies; set goals and monitor progress; evaluate performance; develop musical interpretation; manage time; and plan strategies for memorization, motivation, and time management. Hallam (2001a) concluded that it is possible for teachers to teach their students to practice effectively, once the students have developed a minimum level of proficiency on their instrument. She found that planning mechanisms in music practice operate on three levels. According to Hallam, planning relates to the ability to complete specific tasks, plan and organize practice in an automated fashion, and consciously choose strategies to 43 compensate for deficiencies in self-regulatory mechanisms. Each of these levels of planning is dependent upon the level of expertise held by the musician. Metacogrritive skills are related to students’ ability to assess the level of difficulty in tasks and select appropriate strategies, set and monitor goals, evaluate performance, and develop interpretation. Further, knowledge of personal strengths and weaknesses, memorization strategies, motivation, time management, monitoring concentration, and dealing with performance anxiety were found to be key metacognitive skills. Hallarn’s findings suggest that musicians use more metacognitive strategies as they gain in expertise. She also found tlmt a key component of developing expertise is the acquisition of appropriate aural schemata to facilitate the monitoring of progress and correction of mistakes. Finally, Hallam (2001b) considered the relationships between strategy use and the development of expertise at varying levels of ability. Data for the study included the semi-structured interviews and the tape recordings of the 55 novice string students while engaging in a 10 minute practice session and performance of a short piece appropriate to their level of skill development. Two judges evaluated the performance of each student’s musical selection. Hallam found that students needed to develop an “appropriate aural schemata” in order to effectively choose appropriate practice strategies and monitor progress. Strategy development was closely related to the developing level of expertise. She recommended that further research attempting to explain levels of attainment and quality of performance focus on a multi-dimensional approach to the topic. Hallam’s conclusions support other research that has found the development of practice skills to be related to performance level (McPherson, 2005; Nielsen, 2004; Gruson, 1988), and this holds several implications for music education. Primarily, Hallam states that development of effective practice strategies and metacognitive skills is directly related to levels of musical expertise and suggests that teachers should endeavor to provide direction in the development of self-regulative skills in conjunction with the development of performance skills. Further, she advocates providing students with aural models in order to facilitate the development of appropriate aural schemata in order for students to begin to identify and correct their mistakes. The novice subjects within Hallam’s project were all string instrumentalists who were engaged in private instruction in the United Kingdom. In order to provide more information for school music teachers in the United States, it seems logical to conduct similar studies using school band and orchestra students as participants. Further, Hallam analde tape recordings of short, ten minute practice sessions. It may be beneficial to use videotape recordings in order to include visual cues in the analysis as well as aural cues. Also, students generally tend to practice for more than ten minutes at a time, so more authentic information may be gleaned from longer practice sessions. Finally, interview data for Hallam’s studies were based upon semi-structured interviews. While this method offers a number of benefits, one may be able to gain a more clear perspective of student thought processes through the use of verbal reports (Ericsson & Simon, 1993). Harnann and Frost (2000) surveyed 512 string students in sixth through twelfth grade in regard to their practice habits and attitudes toward music. Using chi-square analysis procedure, the researchers found that the string students who studied privately tend to be more professionally goal oriented, and practice longer, smarter, & more efficiently than those who only studied in school orchestra classes. These students 45 practice daily at regular times, establish objectives and maximize time in shorter, though on task, practice segments. They also find practice more emotionally satisfying than there counterparts and experience anxiety, depression & guilt when they are unable to practice. To these students, motivation is driven by a focus on improvement and a desire to show their musical ability. While Harnann and Frost were able to produce significant results in relation to the practice habits of school aged string students, the nature of the study did not allow for a deeper understanding of student abilities to set goals and self-assess. Furthermore, the study was able to delineate the differences in practice between students who take private instruction and those who do not, but the study did not focus on what the non-private study students were able to do. The current study may help to address these issues. Research in Practice with Instrumentalists McPherson (1994, 1995, 1997, 2005; McPherson & McCormick, 1999; Pitts & McPherson, 2000a, Pitts & McPherson, 2000b; McPherson & Renwick, 2001; McPherson & Renwick, 2002; McPherson & Davidson, 2002) has conducted a vast amount of research in the area of practice and skill development of school instrumental music students. Most of this research took place in Australia. Topics of study have included self-regulation in practice, the use of strategies in different performance types, parental support, and factors involved in motivation. In the first set of studies (1994, 1995, & 1997) related to the current project, McPherson conducted a three year longitudinal study with a group of 101 high school clarinet and trumpet students to examine the development of five distinct types of 46 musical performance. Subjects were administered the Watkins F amum Performance Scale to measure their capacity to perform a rehearsed piece, sight read, play by ear, play from memory, and improvise. Additional data concerning factors thought to influence skill development were obtained in structured interviews and analysis of reflective comments made by students immediately after completing each of the four measures. Results from the 1994 study show a significant improvement in each of the skills over the three years, as well as changes in the aural and creative activities in which instrumentalists report engaging during musical activity. Reflective comments show distinct differences in the types of strategies used by instrumentalists to perform on each of the measures. McPherson (1995) found important differences between younger and older students in performance of rehearsed music, sight reading, playing by ear, playing from memory, and improvising, with strengthening correlations among these five skills as instrumentalists mature. Findings from the 1997 study show that, in the beginning stages of training, sight-reading skill is not significantly correlated with an ability to perform a repertoire of rehearsed music for a comprehensive performance examination. Correlations between these two aspects of performance appear to strengthen markedly as instrumentalists mature. Consistent with other studies (Elliot, 1982), results show that rhythmic errors recur more frequently than all other types of errors. McPherson’s findings suggest two important points for my study. First, the 1994 study suggests that the development of practice strategies may be related to maturation and skill development. This relationship of practice to maturity and skill implies that teachers must develop a sequence of practice habits to teach instrumentalists that reflects their capabilities as they progress in their musicianship. Second, McPherson suggests that 47 students learn five separate performance skills, including performance of rehearsed music, sight reading, playing from memory, playing by ear, and improvisation. Each of these skills requires a different practice strategy. Therefore, the analysis of student practice must recognize the skill being practiced, and its associated goal, in order to compare the strategies one chooses with their purpose. McPherson and McCormick (1999) explored the ways self-regulation (cognitive strategy use) and motivation (intrinsic value, anxiety, and confidence) might interact with the quantity and content of a musician’s practice. Subjects for the study included 190 pianists who were taking the Trinity College, London, performance examinations. A questionnaire exploring possible relationships between self-regulation and motivation and the quantity and content of musical practice was completed by each subject before taking the test. The researchers used a regression analysis to discover key components within practice and motivation. They found that the quantity of practice was related to anxiety toward the oncoming test along with the amount of technical work practiced They also discovered that subjects who reported greater amounts of practice on informal, creative activities (playing by ear and improvising), repertoire (new as well as older pieces), and technique tended to be more cognitively engaged while practicing and expressed more intrinsic interest in learning their instrument and that the quantity of practice in the month before the performance exam was related to the amount of technical work the subject reported practicing. Finally, they found that the level of cognitive engagement during practice and achievement are related. McPherson and McCormick found that pianists who take private instruction tend to achieve more when their practice is characterized by creative and purposeful activities. 48 While the pianists were exposed to regular one-on-one instruction and guidance, school band students often are left on their own to develop their own practice techniques. Little research has been conducted regarding the purposiveness of practice activities within the school band population. McPherson, Davidson, Pitts, and Renwick conducted a three year longitudinal study investigating the practice of beginning band students that generated a total of seven journal articles. A total of 157 participants in third and fourth grade took part in the study, and 107 children out of the initial pool participated throughout. Participants came from eight different primary schools with an established teacher and band program in Sydney, Australia. The subject sample controlled for a balance of gender, socio-economic status and school background. Students were provided instruments and given the opportunity to join band, with the promise that students who continued through the three year study would be allowed to keep their instruments. The researchers collected multiple forms of data, including playing tests, sight- reading tests, performance from memory, performance by ear, and improvisation, along with parent interviews regarding practice time and student interviews regarding practice strategies. Parents, teachers and students were interviewed in relation to changing perceptions, attitudes, and skills during the first three years of learning. A number of students were periodically videotaped as they practiced. Parents were interviewed in structured phone interviews after 1 month, 6 months, and 1 year, while students had structured live interviews before beginning, and at 10 and 20 months. Many questions asked of participants were consistent over the 20 month period, which allowed for a 49 number of comparisons. Students who discontinued their participation in band completed a questionnaire. Pitts and McPherson (2000a) studied factors related to the success and failure of the participant over the course of the project. Comparisons were drawn between children who maintained and lost motivation over that period, and between those who ceased to have lessons and those who persevered. Data included the student and parental interviews and exit questionnaires supplied by those who dropped out of the study. The results of their analysis showed that highly motivated students were more likely to focus on quality of practice instead of practicing for a set amount of time. They found that parental support was an important factor in developing success and that intrinsic motivation tended to be more related to success than extrinsic rewards. Students who maintained motivation were more self-critical, reflective, and conscientious in practice. All three of these qualities tended to decrease as motivation decreased. Pitts, Davidson, and McPherson (2000b) conducted a set of case studies of three of the participants in order to more deeply understand the cognitive strategies the students used in practice. They related practice strategies and other factors, such as environment, motivation, and general ability, to the progress that was made in the first six months of learning. Data for this portion of the project included videotaped recordings of ‘normal’ practice at two to six week intervals. Students involved in this portion of the study included a ten year old male trumpet player, a ten year old female saxophonist, and a nine year old female flautist. Analysis of the data was based on “systematic and repeated viewings,” and a number of salient themes were introduced. First, each student in this study exhibited qualitatively different 50 strategies and dispositions toward practice. While the boy seemingly enjoyed his practice, the saxophonist seemed to rebel against her mother’s direction to practice, and the flautist seemed to passively accept practice as a duty that was “good for her.” Next, students seem to all exhibit negative attributes such as a short attention span, avoidance strategies when the music was difficult, and a lack of self-correction The trumpet player spent significantly more time playing and doing things that he felt confident he could play successfully. This seemed to be one way he could avoid the tasks that were more difficult. Students also exhibited seemingly appropriate practice strategies, such as singing and fingering the music, and using repetition, but they were generally done without an understanding of why they were doing them. The researchers found that students who can identify and imitate their teacher’s practice strategies tend to use their time more productively than those who do not. Most students tended to demonstrate few self-correction techniques, and played through their pieces or exercises with little discernible self-evaluation. This finding is supported by Hallam’s (1998) suggestion that teachers need to model and teach effective practice skills, even though the development of practice skills seems to be dependent upon musical development. The study also reinforced the findings from other studies that stressed importance of parental support (Pitts, et al. 2000; Sloboda et al. 1996; Davidson et al. 1996, 1997; O’Neill, 1997; Zdzinski, 1996). They state that parents need to understand concepts related to practice, such as goal orientation, avoidance techniques, and the importance of detailed practice, in order to help their children be more efficient. They also emphasize that teachers should teach practice strategies to students by example and explanation Parents, on the other hand, have a different function. They 51 should not be intrusive; instead they should focus on encouraging their children in ways that develop intrinsic motivation. According to the authors, “Practice must, at some level, be enjoyable if it is to bring musical development and satisfaction, and our cases demonstrate this in that the trumpeter is the only one to maintain a level of interest and so make discernible progress. . . Practice will only become purposeful and self-deterrnined when the pupil has a range of ‘task oriented strategies’ to draw upon.” McPherson (2000) analyzed student interviews immediately before beginning instruction, in order to investigate their value motivations in music related to how long they thought they would learn their instrument. Interview results show that the children were able to differentiate between their interest in learning a musical instrument, the importance to them of being good at music, whether they thought their learning would be useful to their short- and long-term goals, and the cost of participation in terms of the effort needed to improve. Children's expectancy and value beliefs were found to be powerful predictors of achievement, as the children's commitment to learning their instruments and the amount of practice undertaken were useful in predicting achievement after nine months of study. McPherson and Renwick (2001) analyzed regularly videotaped practice sessions of seven of the participants over the whole three year period. Based on six dimensions of self-regulation, behavioral coding was used to assess the content of practice, the nature of errors and common features and individual differences in musical practice. They found low levels of self-regulatory behavior in which students set goals and monitored their own learning. Students seemed to play through songs rather than work on spots and mistakes were generally ignored or corrected by repeating single notes. Learning 52 strategies consisted almost exclusively of playing through pieces once or twice. Most errors were either ignored or corrected by repeating one or two notes. McPherson and Renwick found that beginners tend to practice less, partially due to the fact that they are unable to use self-regulating strategies as well as more experienced musicians. The children tended to show little evidence of deliberate practice strategies typically exhibited by expert musicians. Renwick and McPherson (2002) also conducted a case study of one of the students in the program. For this female clarinetist, interviews and analysis of videotaped practice sessions were used to compare practice behaviors for teacher-assigned repertoire and a piece she chose herself. The authors state that motivational research in academic subjects has demonstrated that when students are interested in an activity and feel free to choose whether or not to do it, they are more likely to engage in higher-level cognitive functioning, find it easier to concentrate, persevere, and enjoy their learning. When the student in this study practiced music of her own choice, she was more likely to engage in strategies typical of more advanced stages of development, such as silent fingering, silent thinking, and singing. She also spent more time practicing the piece and persevered when faced with difficulties. McPherson and Davidson (2002) studied mother and child interactions during the first year of learning an instrument. All 157 mother and child interviews were analyzed during the first year of training. The authors analyzed interactions in quantity and content of practice, the mother's support and supervision, the relationship of previous exposure to learning an instrument and consistency of practice. Differences in expectations and 53 practice habits of children who ceased instruction were compared to those who continued. Results show that the children's mothers were able to accurately anticipate the amount of support their children would need. The mothers who were concerned about helping their children practice consistently were more likely to have children who eventually dropped out of band. These children typically set unrealistic goals concerning the amount of practice they would undertake. After they started and they experienced the challenge of playing, this group of children consistently practiced less than those who continued in band. Finally, McPherson (2005) examined the strategies employed by children in the early stages of learning their instrument. Researchers administered playing tests at the beginning and end of each school year to assess the five types of musical performance suggested by McPherson (1994, 1995, 1997). The children were then interviewed at the end of the school year to assess their use of a practice diary, their focus on improvement in practice, and their strategies for self-correction, sight reading, and memorization. Results of the tests show that the children tended to retain their position relative to their peers across the course of the study. A high percentage of children who experienced difficulties in sight-reading and ear-to-hand coordination dropped out. The sequenced and orderly use of strategies was found to be more important in predicting achievement than the amount of practice, with the highest achievers showing a more sophisticated use of strategy. McPherson suggests that the common forms of assessment (practice time and performance of rehearsed music) are unable to provide complete, accurate feedback 54 regarding musical development. He proposed that teachers may gain a better understanding of progress by observing the range of practice strategies children employ. These strategies may be telling regarding why some students are able to progress effortlessly while others struggle and fail. He proposes the need for instruction of students in practice skills. Numerous implications flow from the set of articles emanating from this project. Primarily, the results of these studies suggest that students need to be taught how to practice in conjunction with being taught how to play their instruments. The researchers state that students must be taught and encouraged to focus on quality rather than quantity in their practice. They stress the value of intrinsic motivation and the influence that parents and self choice have in this process. Finally, the results suggest that the choice of practice strategy is partially dependent upon the type of performance skill being addressed. The team of researchers used a number of data sources, including parent, teacher and student interviews, student questionnaires, and video recording of student practice. While their chosen sources of data were valid sources of information for their research questions, the investigators were unable to gain a deeper understanding of student thought processes while they were engaged with practice. The current study intends to address this issue with the use of verbal reports. Also, the series of reports were focused upon students in the first three years of instrumental study. The current study will have a slightly different focus, as participants will be in their second and third year of instrumental music and will be slightly older than the Australian students. Because the students in this study started instrumental music in sixth grade, as opposed to initial 55 lessons in third grade for the Australian students, it is anticipated that the difference in age may produce qualitatively different results. Self-assessment Research in Musical Performance McPherson and Zimmerman (2002) stress the importance of self-assessment within the context of self-regulation, as does Ericsson (1996) in his description of deliberate practice. The process of self-assessment has an effect on the diagnosis and correction of mistakes and student motivation. An analysis of a number of seminal studies on the self-assessment of musical performance may lead to the formulation of implications for this research project. Davis (1981) was among the first to study the effects of self-assessment in the music classroom. His study looked at the effect of structured singing activities and self- evaluation on performance, tonal imagery and attitude in an elementary band setting. In his design, 93 fifth and sixth grade band students from three separate schools were separated into 12 heterogeneous groups. The experimental groups engaged in structured singing activities, practiced self-evaluation, or a combination of the two while learning to play their instruments and the control groups learned in what was considered a customary teaching environment. At the end of the intervention, students were given an attitude questionnaire and a performance test in which their self-evaluations were correlated with those of experienced music teachers. The data were analyzed using analysis of variance and Pearson and Spearman correlations. Significant results of this study showed that the self-evaluations of the combined experimental groups produced significant correlations with the expert evaluations, fifth 56 grade students engaged in structured-singing activities scored higher on instrumental performance, and sixth grade students engaged in structured singing and self-evaluation practice, along with one of the control groups, scored higher in instrumental performance and attitude. Through this study, Davis concluded that structured singing activities, self- evaluation practice, and a combination of the two improve performance skills and, to a lesser extent, attitude. He found that practice with self-evaluation improves correlations with external evaluators and that neither of the interventions had an effect upon the development of melodic tonal imagery. He also concluded that the customary approach was an effective method of teaching for second year students. Limitations of this study were that it used a relatively small number of subjects and that the second year students had been conditioned to learning using the customary teaching methods from the prior year. These two factors could have a significant effect on his final conclusion. Davis’ study suggests that beginning instrumental students can learn to self-evaluate, but it does not describe what evaluation skills they currently have. Bergee’s (1993 & 1997) two studies focused on the reliability of self-evaluation with college aged music students. In the first study, Bergee used a small number of brass students and two panels of musicians as the subjects. Students were assessed by a panel of faculty brass professors during their end of the semester performance jury using an established brass adjudication form. A videotape was made of each performance and students were given the opportunity to view the video and complete a copy of the same adjudication form within one week of the assessment. A second panel, identified as the peer group made up of college and professional level brass musicians, also viewed student videotapes and completed the adjudication form. Bergee then correlated the 57 assessments of each group. The results showed that inter-j udge reliabilities were high in both the faculty and peer panels and, while the assessments of the peer panel tended to be higher than the faculty panel, there was a moderately high correlation between the two. The self-assessment scores, on the other hand, had low correlations with both the peer and faculty groups, confirming prior investigations that suggest that self-evaluation generally correlates poorly with external evaluations. Neither of the three groups, however, were trained in the use of the adjudication form. Training, discussion, and practice using the forms may have had a significant effect on the results of the study. Bergee’s second study was much like the first. The difference was that he expanded the number of subjects and the range of performance idioms to include woodwinds, brass, percussion, strings, and voice. To accomplish this, he used over 50 students and 26 faculty from three separate universities and adjusted the adjudication form to accommodate the needs of the various families of instruments. His findings were nearly identical to those of his previous study, but he also found that faculty inter-judge reliabilities were uneven. This new finding led to a new research project studying faculty inter-judge reliability, published in 2003. The assessment tool used in this study had not been tested for reliability, and therefore it, along with a continued lack of training in the use of the tool, could have attenuated the results of this study. Bergee’s third and fourth studies regarding self-assessment evolved from the first two (Bergee & Cecconi-Robers, 2002). In them, the researchers hypothesized that participation in small, informal peer group discussions would have a positive effect on the ability of undergraduate music students to accurately self-evaluate their performances compared to faculty evaluations. In the first study, 14 students participated in small group 58 discussions four times over a two week period prior to end of the semester juries. During the discussions, students would perform for each other and critique the performances. Students were then videotaped during their juries along with a control group (N=15). Following the performances, each student viewed their video and assessed themselves. Finally, assessments of the experimental group, control group, and faculty evaluators were correlated. Results showed a small but significant difference (p<. 1) between the experimental and control groups. The second study used 69 subjects following the same hypothesis, but with a number significant changes in the design. First, during similar discussion sessions, the experimental groups added an activity in which they listened to exemplars of musical performances and discussed their qualities. Second, it was believed that combining the first study with the high stakes realities of end of semester evaluations may have had an effect on the results. Therefore, students performed in a non-graded situation. Third, the researchers wanted to see if a change could be seen during the length of the study, so students were recorded during each discussion session and evaluated themselves, while the researchers served as the external evaluators. The control group performed privately for the researchers an equal number of times. They also self- evaluated, but did not participate in small group discussion or in listening to exemplars. Data included five separate self- and external evaluations for each student, along with peer evaluations for the experimental group. Data were correlated among the three groups and compared the change within each student’s evaluation over time. A small interaction was seen between time the initial ability of students to self-evaluate. Students who were initially less able to accurately assess themselves showed a prompt improvement, though the improvement decreased over time. No other positive effects 59 were found in this study. Again, students were not trained in the use of the assessment tool; they were only provided extra experiences in using the tool with other non-trained students. Bergee’s studies show that self-assessments by college aged music students do not tend to correlate well with the assessments of others. Logic would presume that, if this is the case for college music majors, then self-assessments by younger students may correlate as poorly or worse. Bergee’s studies did not describe what his subjects heard as they assessed themselves or how they understood the criteria or what they were comparing their grade to. The current study will attempt to discover possible reasons why students assess themselves differently than others. Aitchison’s (1995 ) study explored the effects of incrementally increased levels of self-evaluation on the performance, self-evaluation accuracy, motivation and self-esteem of 84 seventh and eighth grade instrumental students over an eight week period. Students were separated into four groups regarding mode of evaluation: teacher-only, teacher- driven, student-only, and student-driven. Students performed a one—page, teacher-chosen etude and a self-selected piece of music representing their perceived performance level. Data included pre-test, mid-test, and post-tests of the teacher chosen etude (teacher- evaluated and self-evaluated), post-tests of the student-chosen etude (teacher and self- evaluated), pre-tests and post-tests of interest and self-esteem, one measure of self- evaluation accuracy, one of critical self-evaluation commentary and one for motivation to continue self-evaluations. Aitchison used a split—plot ANOVA to analyze the data. Results showed significant pre-test to post-test improvements in extemal- evaluation ratings, self-evaluation ratings, self-evaluation accuracy, intrinsic interest, self-esteem, and critical commentary. He also found medium high correlations between external and self-evaluations for teacher selected music and medium correlations for student selected music. Finally, analysis showed that self-evaluation positively influenced intrinsic interest and perceptions of musical performance ability. Like Davis, Aitchison suggests that students can be trained to assess themselves. Aitchison went on to state that self-assessment may benefit intrinsic motivation and self- efficacy. Once again, though, Aitchison did not discuss how students use self-assessment when they are outside of the experimental group. A void remains in. the body of research that describes this matter. Hewitt’s (2001) study explored the effects of combinations of modeling, self- assessment, and self-listening on the performance and attitude toward practice of junior high band students. Using 82 subjects, Hewitt divided them into eight groups composed of all possible combinations of the three independent variables and a control group. Students were then released from class multiple times to practice a researcher-chosen piece of music using their assigned practice method. Data included the amount of improvement experienced between pre-tests and post-tests of student performances of the assigned piece. The evaluators used an established music performance rating scale (Saunders & Holahan, 1997), and students in the self-evaluation groups used a modified version of the same scale. The results of this pretest/posttest 2 x 2 x 2 factorial design showed that students who listened to a model and self-evaluated their performance as part of their practice improved significantly more than the other groups in most dimensions of the rating scale. Self-evaluation or modeling by themselves, however, did not seem to be effective in improving student’s performance. Hewitt surmised that the lack of 61 improvement of the self-evaluation group may result from a lack of student ability to prescribe solutions based upon diagnosed strengths and weaknesses. The interaction between listening to a model and self-evaluation was a significant finding that led to Hewitt’s second study (2002). In this project, Hewitt attempted to discover if self-evaluation with or without a model had an effect on self evaluation accuracy and if a relationship existed between selfoevaluation accuracy and achievement. A total of 41 subjects participated in the pretest/posttest 2 x 2 factorial design. Analysis of the data suggested that student self-evaluation scores did not improve and increased over time regardless of model-group condition. Student self-evaluations also showed no correlation with expert evaluations in most dimensions of perfonrrance, which is consistent with other studies (Bundy, 1987; Byo, 1994; Bergee, 1993, 1997, & 2003; Kostka, 1997). The conclusions from this study were that the use of a model did not assist students in their self-evaluation accuracy and that the process of self-evaluation had a non-sigrrificant effect on self-evaluation accuracy. Based on his prior experience, Hewitt expected different results. There are a number of possible reasons for the surprising results of this study. First, students used a rating scale that measured eight different dimensions of performance. Gordon (2002) states that reliability is attenuated when evaluators assess several dimensions all at once, because of the added complexity each new dimension brings to the task. Second, students self-evaluated without teacher assistance and with little training and prior practice in evaluation. Aitchison’s (1995) research suggests that students need teacher instruction to improve assessment skill. Finally, students were not 62 given clear instructions in regard to what to listen for as they listened to the model. Again, without teacher guidance, student achievement may be limited. Hewitt’s most recent (2005) study attempted to discover if grade-level differences exist on self—evaluation tendencies over time and on self-evaluation accuracy. Subjects for this study were students enrolled in two summer band camps. The first camp was a high school honors band, while the second was a camp for middle school students. The two groups totaled over 140 students and the mean age difference was just under two years with a mean difference in private lesson experience just over two years. Students in both groups self-evaluated their ensemble’s performance during rehearsals, while expert evaluators judged an individual final performance. Hewitt once again used the rating scales developed by Saunders and Holahan (1997) and a modified version of the scales for the students. Results indicated that differences did exist in performance self-evaluations as the week progressed in some sub-areas and that high school students tended to be more accurate (defined as the difference between self-evaluation score and expert score) than middle school students in all sub-areas except melody and rhythm, though the middle school scores correlated more highly with the expert evaluators than did the high school scores. The difference in self-evaluation accuracy may be due to a lack of variance in the scores provided by the high school students. The two subareas in which the middle school students were most accurate - rhythm and melody -— are also the two most objective dimensions of the rating scale and logically the two areas that young students may focus on the most, which may explain why the students were more accurate in these areas. Also, both groups were most accurate in the evaluation of melody and least 63 accurate in the evaluation of technique/articulation, a result that was found in the previous study (2002). These findings may suggest that a hierarchy of self-evaluation subareas exists, that may also imply that, pedagogically, there may be an order in which teachers should present self-assessment of musical performance dimensions. While the value of self-assessment is well established, research is inconclusive regarding its effect on student learning (Hewitt, 2001). Prominent educational theorists expound the value of self-assessment as a part of a gestalt view of self-regulated learning in which students set goals, monitor progress and assess their progress in a cyclical process (McPherson & Zimmerman, 2002; Zimmerman, 2002). While some researchers suggest that the reasoning for low correlations between self—assessments and teacher assessments may be due to the cognitive immaturity of children that prevents them fi'om accurate self-assessment (N icholls & Miller, 1983), another view could be that self- assessment is part of a gestalt, and is therefore difficult to measure in isolation. Hewitt (2001) and Aitchison (1995) both suggest that students seem unable to improve their musical performance solely with the use of self-evaluation, but improvement is more noticeable when the self-assessments are combined with exposure to a model or teacher feedback. Finally, one of the reasons for inconclusive results may be in the design of the assessment methods themselves. Gordon (2002) warns evaluators of the dangers of attempting to assess multiple dimensions of performance in just one listening attempt. Each of the evaluation tools in the studies listed above rated multiple dimensions of performance. Therefore, researchers risk poor validity when evaluators listen to performances one time, and this is compounded in less experienced students who are less capable of processing multiple thoughts (Kepner, 1986; Bundy, 1987; Watson, 2006). Also, according to Stiggins (2001) and Black & William (1998), student-involved formative assessment must include a clear goal, a clear description of current achievement, appropriate feedback, and an implicit means of bringing achievement toward the goal. The methodologies of the prior studies did not describe how students were with this information. While part of this lack of clarity is due to the ambiguous nature of the assessment of the many dimensions music, it seems that researchers may benefit from a deeper understanding of how students are monitoring their performance as they play. Extra training may alleviate the problems encountered in a number of the studies, but educators must first understand how students assess themselves before they can determine what interventions need to be made. Little research has focused on how students assess themselves or how they use the information gained through self-assessment to direct their learning. Therefore, it is difficult to identify the factors that have a bearing upon the generally poor relationships between student and teacher assessments. Future research in music practice that investigates student thought processes as they assess themselves and use their self- assessments to inform their practice may provide educators with valuable information that may lead to improved methodologies in teaching practice. Chapter Summary This chapter has presented a number of studies that look at instrumental music practice through multiple and varied lenses. Through my analysis of each researcher’s 65 work, I derived six elements that seem to have an effect on the quality of practice, including motivation, goal setting, strategies, assessment, structure, and supervision. Each of these elements also seems to be interlinked with the others in a myriad of different ways. Many of the authors in this chapter stress the importance of teaching students how to practice (Aitchison, 1995; Barry, 1992 & 1994; Hallam, 2001a; McPherson, 2005; Nielsen, 2004). McPherson (2005 ) emphasized that, “children who applied musically appropriate mental strategies early in their learning were more likely to succeed in comparison with their peers.” It seems logical that, through the process of teaching students how to practice effectively, more students will be able to apply the strategies McPherson described, and consequently, more students will be able to make music at a higher level. In order to begin to teach beginning and intermediate music students how to practice more efficiently, teachers must first discover how students currently practice. Educators cannot set appropriate teaching objectives until a baseline fiom which to work has been set. McPherson (2005) stated that, “little research to date defines and clarifies children’s use of strategies when learning instrumental performance.” The few studies that have attempted to address this need have generally focused on the strategies students use in their practice and on their motivation to practice (Barry, 1992; Leon-Guerrero, 2004; McPherson 1997, 2000 & 2005; McPherson & Renwick, 2001 & 2002; Pitts, Davidson & McPherson, 2000a & 2000b). Even fewer studies have investigated the thought processes that inform and drive practice in novice students (Leon-Guerrero, 2004; McPherson & Renwick, 2002), and no study has examined the ways in which students use goals and assessment in their practice. Beginning instrumentalists’ practice may be characterized as inefficient (Barry, 1990; Gruson, 1988; McPherson & Renwick, 2001; Pitts, Davidson & McPherson, 2000a), but Schunk (1996a) states that the combination of learning goals and self- evaluation can be powerful self-regulative tools. He further states (2001) that when people set and meet goals, they build self-efficacy and begin to select newer, more challenging goals. He found that learning goals combined with self-evaluation led to greater persistence than the performance goals without self-evaluation (1994a). Further, McPherson (2005), Pitts et al. (2000a), and Smith (2005) state that students who practice to improve demonstrate more persistence. The purpose of this study is to fill a void left in the extent research related to student thought processes while they are engaged in instrumental music practice. By understanding the reasons behind student choices related to goal setting and self- assessment in the context of practice, we may begin to understand what steps must be taken in the process of teaching them to practice effectively. 67 CHAPTER III: METHODOLOGY The detailed plan for the design and analysis of this project will be described in this chapter. I will describe the site and setting, discuss the teacher’s background, and discuss the steps the teacher has taken with the objective of teaching practice skills to her students. Next, I will discuss the validity of verbal reports as a reliable research methodology and describe the student tasks used to create data. Finally, I will explain how the data was analyzed and interpreted Researcher’s Lens 1 was always a one of the top students in my school band. I was good because I practiced more than anyone else. When I became a music major in college, I began to realize that some of the other students were able to generate more quality from their practice without putting in as much quantity of time as I did. My professor helped me develop a practice routine, and I noticed an increase in my rate of improvement. As a beginning teacher, I took a course based on Madeline Hunter’s instructional theory into practice (ITIP), which focused on learning theory, and I found that much of the information I gleaned from the course could be directly applied to my own practice. Throughout my sixteen years as a music teacher, I maintained a small clarinet and saxophone studio. One of my major objectives for my students was for them to learn how to use effective practice strategies because I believed that my job was to help my students to become independent learners. In essence, I considered myself successful when my students no longer needed me to help them learn their music. This, of course, never 68 happened in the ultimate sense that students no longer needed some coaching, but I did find that many of my students gradually became independent to some degree in their playing. As a school band teacher, I also found myself thinking of ways to teach my students to practice “smarter, not harder.” From my ITIP course, I knew that setting goals and knowing how well you were doing in relation to those goals had some role to play in being a “smarter practicer.” Therefore, many of the practice assignments I gave my students asked them to set goals and to evaluate themselves to some extent. I found this strategy to work for some students, but not for all. I often found myself wishing that I could be a “fly on the wall” while my students were practicing, so that I could know what they did and how they were thinking during this time. Since arriving at Michigan State University, I have had the privilege — and the aggravation - of watching my two children practice violin. While I was teaching in the public schools, my wife, who was also their violin teacher, helped to guide their practice. Since entering graduate school, I have had more opportunities to be a “fly on the wall” in my own home, as I watch and help my children practice. I have found that my son often makes what I deem to be wise decisions related to his practice, but also makes decisions that are contrary to the suggestions for efficient practice that I have given him, based on what I have learned through reading the research. We have modeled and guided specific practice concepts with him, only to find him reverting back to old habits. The research questions for this project emerged over the past twenty years as I have struggled with my own practice and the practice of my students. I believe that students must learn to practice efficiently in order to become independent learners, and 69 they must become independent learners if they are to continue playing their instruments beyond their school years. For this multiple case study, I have chosen to observe middle school students who have one to two years of experience in school band. Because I was an outside observer to the environment, students may have felt uncomfortable around me at first, which may have attenuated the data. On the other hand, students also knew that I had no power over them within the school setting, so they were free to act and to answer questions in a more open manner. My experience as a private teacher, band teacher, and as a father of young violinists, along with my understanding of current theories related to practice, offers me a unique perspective in understanding the decisions students make during practice. I have been able to develop a personal philosophy about the development of practice skills; I have taught these skills to many private students and band classes and 1 have observed my children practice at home. Though these experiences aid in the interpretation of this study, they also may have limited the study because of the opinions I have already developed and attempted set aside in order view the data in an unbiased fashion. It is my hope that this dissertation may answer a number of questions about how children practice at home and why they make the decisions they make. From this data, new and more effective methods of teaching practice may be developed leading to increased musical independence. Purpose The purpose of this multiple case study was to describe the self-regulated practice of middle school band students. Specifically, student use of goals and self-assessment 7O was studied. The overarching research question guiding this study was, “What self- regulated practice strategies are exhibited by intermediate level instnunental music students?” More specifically, the key research questions were: 1. What goal setting and self-assessment comments do novice, adolescent instrumental musicians make during instrumental practice? What goal setting and self-assessment strategies do novice, adolescent instrumental musicians use during instrumental practice? Are there differences in practice strategies found among students when they are deliberately involved in goal setting or self- assessment compared to times when they are not setting goals or self-assessment? What strategies do students use to address various technical aspects of performance (rhythm, notes, articulation, etc)? Because the research questions were focused upon the thought processes of the participants, the answers to the questions were found using verbal reports. Therefore, the data collection method for this study relied heavily on the work of Ericsson and Simon (1993 ). Both concurrent reports and retrospective reports were used as key data sources, along with video analysis of practice sessions, student interviews and teacher interviews. This chapter will describe the methodology used in the collection and analysis of data. I will describe the process that will be used to recruit participants and obtain parental and school consent as well as student assent. A description of the setting will be 71 given and a chronology will be outlined that will describe when participants were selected and when data was collected. Next, the data collection method will be explained. Finally, I will discuss the method used for data analysis. Chronology and Setting A pilot study for this project took place in the spring of 2006. I used retrospective think-aloud protocol and video analysis as the core data while investigating the practice of three seventh grade students enrolled in a suburban Midwestern middle school, along with two of my own private students, who were in eighth and ninth grade. The results of this study, along with a further review of literature suggested the research questions for the current study. I sought advice from local music teachers regarding likely participants for my project. Based on this advice, I contacted a highly recommended school band director from a nearby school district to ascertain her interest in this research project and received an enthusiastic “yes.” The teacher agreed to aid in recruiting students for the study, provide a room on school property in which to videotape and interview students, submit to an interview regarding the student participants, and obtain permission from school authorities. Approval from the school district for the research study was obtained in October of 2006. This approval was then submitted along with all required information to the University Committee on Research Involving Human Subjects (UCRIHS). Final approval was received from UCRIHS in December of 2006. Informational letters and consent and assent forms were distributed following UCRIHS approval and data collection began in January of 2007. 72 Participants for this study were seventh and eighth grade students enrolled in Rutherfordl Middle School situated in a small, suburban, middle class, Midwestern city. The population of the school is 738, while the band program boasts 180 students enrolled in five bands, grades six through eight. The school operates on a six period schedule with fifty minute classes. The band teacher, Ms. Zingerrnan, has taught at the school for seven years. The students in this school district begin band in sixth grade. The six students in this study were all enrolled in the seventh and eighth grade bands. Ms. Zingerrnan and I addressed each of her seventh and eighth grade classes regarding the study and asked for volunteers. Therefore, all of the participants were self- selected. Due to the nature of this study, we limited the number of participants to six, accepting the first six students who turned in their consent forms. All encounters with students were conducted in empty classrooms situated within the school. In order to comply with district policy, the teachers assigned to those classrooms remained quietly in the room while I videotaped the students. Students were excused from their regular band class to participate in this study. Students were excused from class five times over a two month period. Three of the times, students participated one at a time in the practice portion of the study. Students also participated in focus group interviews prior to and following the practice sessions. Because the six participants came from three separate classes, we were unable to have all six students present during the focus group sessions. Instead, these sessions were conducted during each of the three classes. Therefore, the two eighth grade students were in one focus group while three of the four seventh grade students were in another. The single seventh grade trombonist was interviewed alone. ‘ The names of the school and all of the participants have been changed in order to ensure anonymity. 73 As I began the process of choosing and recruiting a local middle school teacher to participate in the study, numerous university professors and school music teachers suggested Ms. Zingerrnan due to her consistently outstanding bands, her cooperative spirit, and her own inquisitive nature. Because I was assigned to supervise a student teacher who had a partial assignment with Ms. Zingerrnan, I had an opportunity to visit her class and watch her teach. After my observation I was convinced that I had found a strong candidate for my study. Ms. Zingerrnan was encouraging to her students and the bands were all developing good skills for their experience level. Most importantly, the students seemed to have a large degree of trust and affection for Ms. Zingerrnan. This, I believed, would be an important factor in helping me to recruit students for my project. Ms. Zingerrnan and I seemed to have a similar interest in the development of practice skills in novice musicians. She stated that she consciously teaches her students how to practice, although she stated, “You know, I don’t have as organized approach as I probably should.” (Ms. Zingerrnan Interview). Generally, this teaching happens during “teachable moments.” The following interview excerpt is Ms. Zingerrnan’s description of how she teaches her students to practice: Mostly, we ’11 talk about practicing when we 're doing something in class that is something they should be doing when they 're practicing. Like if we take a section, and we slow it down Then we gradually speed it up. Then I ’11 say, “hey guys, what did we just do? ” And now they know the answer, and they say, “We practiced. ” And then I’ll say, “That is really the best way to learn something like this. When you ’re at home, slow it down, don ’t just plow through it. . . 74 When we 're doing the first scale of the day, which is a long tone scale, I ’11 say, “what should you be thinking about? ” And then, “should you be doing that when you 're practicing at home too? ". . . I guess I just look more for teaching moments, more than approaching it like, “we ’re going to talk about practicing today. ” Which maybe I need to do, and just say, “we ’re going to talk about practice today, and here 'S what we ’re going to talk about. ” (Ms. Zingerman Interview). Students in Ms. Zingerrnan’s bands are required to turn in weekly practice sheets. Grades are based on a combination of the number of minutes they practice per week as well as the number of days on which they practice. She also scaffolds their individual practice by giving daily assignments that are taken either from the students’ concert music or from their technique book. She also informs the students of what they should focus on as they prepare their music for the next day. Finally, Ms. Zingerrnan assigns playing tests for lines from the students’ technique books that they have not practiced in class. The students’ job is to learn the music on their own, providing Ms. Zingerrnan information about each student’s musical independence. Data Collection Techniques Data was collected from five sources. I conducted focus group sessions with the participants before they engaged in their first practice session and after the last practice sessions. I also interviewed the participants’ teacher, Ms. Zingerrnan, after all of the student data had been collected. Third, I collected video taped recordings of student 75 practice sessions. Fourth, as the students practiced, they were asked to provide verbal reports of their thought processes. Finally, I reviewed the video each practice session with the participants immediately after they completed their session and asked them to provide retrospective verbal reports on their thought processes. While verbal reports have been used for over 100 years, they began to lose favor during the middle of the twentieth century as the behaviorist paradigm of research gained dominance. Verbal reports were generally considered unscientific and at best were treated as another form of verbal behavior. Ericsson and Simon’s (1980) seminal article Verbal Reports as Data challenged the assumption of verbal reports as invalid and unreliable. Their thesis was that, when collected carefully, verbal reports could prove to be a valuable, valid and reliable method of data collection. To this extent, they promoted a number of criteria gauged to ensure trustwothiness. This article then led to their text Protocol Analysis: Verbal Reports as Data (1984 & 1993). The central assumption regarding verbal reports is that it is possible to instruct subjects to describe their thoughts in a way that does not alter their sequence of thoughts while completing a task. Ericsson and Simon (1993) found no evidence that the sequences of thoughts were changed when subjects thought aloud as they completed tasks compared to subjects who completed the same tasks silently. However, some studies did show that the think-aloud subjects would take somewhat longer to complete given assignments. Ericsson and Simon (1993) state that verbal reports are reliable when they focus on subjects’ cognitive processes as they engage in activities that require their attention. The key is for the data to be collected while the subject’s thoughts are still in short term 76 memory. Therefore, the most valuable reports are those that are given while the subject is performing the task This is identified as concurrent think aloud (CT A). Ericsson and Simon (1980) recognize that this type of data collection is not always possible because some tasks take too short a time for subjects to talk about while they are doing it. Other tasks take too much concentration to complete, such as juggling or performing a musical instrument. Because thought can be accessed in short term memory for up to ten seconds, Ericsson and Simon (1993) recommend that subjects discuss their thought processes immediately after the completion of the task in what they call retrospective think aloud (RTA). Other complex activities, such as skiing or performing a full musical piece may not be accessible within this ten second time frame. Garner (1987) suggests that video and audio recordings can be used in order to stimulate memory while the subject engages in RTA. While time is of the essence in obtaining reliable data, the type of thoughts subjects are asked to verbalize also may taint the data. Ericsson and Simon (1993) describe three types of verbal report and the effect they have on validity. Type 1 verbal reports are described as ‘self-talk.’ In this type of verbal report, the subject simply says whatever comes to mind. This is the most pure form of verbal report; but, because thoughts often occur in chunks of words and concepts, the data in this type of report is often fragmented and incoherent. Type 2 reports ask the subjects to describe their thinking and label their thoughts. Finally, type 3 reports ask subjects to make inferences in order to explain the reasoning behind their thoughts and actions. This type of verbal report requires the subject to access information from long term memory that is usually unnecessary for the completion of the task 77 The prospect of human error in collecting verbal report data is great. Therefore, Ericsson and Simon (1993) suggested a number of criteria that would aid in obtaining the most reliable data possible. The first suggestion is that verbal reports must be given as close to the completion of a task as possible. They believe that CTA is the most reliable of all verbal reports, while recognizing that RTA is often the most practical. Second, type 1 and type 2 reports are considered much more reliable than type 3 reports because the data created in types 1 and 2 are the truest forms of thought. Third, the prompts given by the researcher can often hold bias and can influence the thoughts of the subject. Therefore, it is suggested that prompts be scripted and neutral. Next, Ericsson and Simon recommend that the setting of the experiment be as naturalistic as possible. Participants may provide different data when they are in an uncomfortable or laboratory-like setting. Activities that have become automatic in the participant are not conducive to verbal report research because the participant does not access verbal thoughts in order to complete them. Therefore, it is often more appropriate to obtain data from subjects who are learning a new task instead of those who have become expert at the task. For example, a novice clarinet player may provide more detailed data regarding the thought processes involved in creating a characteristic tone than a professional, because the novice still must think about the critical elements involved in producing a good tone. The professional no longer needs to think about it. Finally, Ericsson and Simon (1993) recommend that verbal reports be used as one of a number of data collection methods. Through triangulation, researchers can obtain more valid results. They recommend that other sources of data be accessed, such as observation, artifact analysis, eye movement sequences, reaction time, and error rates. If 78 appropriate, multiple sets of data from the same subjects or multiple methods of coding that data can also provide a more complete picture of a person’s thinking. The use of peer-review is also highly recommended. Procedure My role during the data collection portion of this study was as an observer and interviewer. I worked with Ms. Zingerrnan to schedule days and times to visit the school and interview students. Further, I used a Canon Z60 video camera and Olympus DM20 digital recorder for data collection and again use the video camera to play back each practice session for the students. My initial encounter with the participants was in a focus group setting. The purpose of this interview was to help students become comfortable with me and to allow me to understand their knowledge of practice. I asked the students to describe their practice routines and describe the practice strategies that they commonly use. Other questions for the students focused on their musical backgrounds and long-term goals, as well as their use of self-assessment and goal setting during their home practice. This interview session was video recorded using a Canon Z60 mini dv video camera I downloaded all video data onto my computer and rendered it into mp3 files. All data was then stored on DVD. Students were to be notified by Ms. Zingerrnan at least one day before they were videotaped during practice. Students were asked to bring any music and practice aid (metronome, tuner, etc.) from home that they were accustomed to using. On the day a student was scheduled to participate in the study, he/ she was excused from the whole 79 music period. The student brought his/her instrument and supplies to an assigned classroom within the school. These rooms were equipped with a chair, music stand, and a Canon Z-60 video camera mounted on a tripod. The student was then asked to practice for 20 minutes and to verbalize his/her thoughts. My instructions to each student at the beginning of the first practice session were, “Please practice your music for the next 20 minutes in the same way that you would if you were at home. You may practice any music and practice in any way you wish. I am interested in knowing what you are thinking while you are practicing. Therefore, please say whatever you are thinking out loud. You do not need to explain your thoughts or even speak in full sentences. J ust say whatever you are thinking. Afterward, we will view the video of your practice together.” I then turned on the video camera and took notes as the student practiced. Many times, students would forget to think out loud. I would then prompt them by saying, “Tell me what’s on your mind,” “What were you thinking about,” or, “What were you focusing on?” After the student had practiced for 20 minutes, I re-wound the videotape, and we watched the practice session together. These interviews were recorded using an Olympus DM-20 digital recorder. My original plan for this stage of the data collection was to instruct each student to explain what was happening and what he/she was thinking about while the videotape was playing, in essence creating what Ericsson would describe as Type 2 verbal reports. After working with the first two students, I found that I would need to become much more involved in the interview process than originally planned. The students were unable to add much insight to their thoughts without my aid. Therefore, my plan changed while I worked with the third student and I began to engage 80 in Type 3 verbal reports, in which I asked more pointed questions regarding what the students were thinking as they played and why. The interviews concluded with a final set of questions that I posed regarding the goals they had and the ways they used self- assessment to guide their practice. Students answered other questions that were based upon my observations of their practice. Each student was to be videotaped in this manner three times at two week intervals. Due to a snow day, an all school function, and meeting I had to attend, the original schedule had to be altered and the third practice sessions started a week later than planned. After all practice sessions had been recorded and transcribed, the students were interviewed in their focus groups one last time. These sessions were also videotaped In this interview, I asked students how their home practice may have changed over the course of the study. I also asked students to clarify numerous questions that arose from the analysis of the data. I also interviewed the students’ teacher, Ms. Zingerrnan. The focus of this interview was to obtain the teacher’s perspective of each student’s musicianship as well as to gain an understanding of what training in practice strategies the students have had in their band experience. Ms. Zingerrnan was asked to share her opinions of the students’ strengths and weaknesses as musicians. She was also asked to describe the learning activities she has facilitated in order to help students develop practice strategies, especially as they pertain to goal setting and self-assessment. 81 Data Analysis Creswell (1998) advocates a number of forms of analysis of case studies, including the establishment of patterns in the correspondence of two or more categories. Miles and Hubennan (1994) recommend that “investigators make preliminary ‘counts’ of data and determine how frequently codes appear in the database” (in Creswell, p. 142). Ericsson and Simon (1993) advocate the use of multiple forms of data analysis as a method of improving trustworthiness, so I therefore chose to analyze the data in this study by establishing patterns and making preliminary frequency counts. The video data was downloaded and rendered using Windows Movie Maker and then burned onto DVD using Cyberlink Power DVD. Audio data from the digital recorder was downloaded onto a computer using Olympus DSS Player 2002 and then burned onto CD. This process of downloading data served as a means of storing information and facilitated efficient transcription of the data. Backup copies of the CDs were stored in a separate, secure area and then destroyed upon completion of the study. I transcribed the student practice video in two stages. In the first stage, I transcribed student actions, and then transcribed the concurrent verbal reports. This data was segmented into complete thoughts and placed in a parallel column to the scripted practice, in order to roughly synchronize the two transcripts (see example in Table 2 and 3). Finally, I transcribed the retrospective reports in the same manner as the concurrent reports to allow for side-by-side comparison of the three data sources. The initial and final student focus group interviews as well as the teacher interview were separately transcribed from the DVD recording. Comments were once again segmented into 82 complete thoughts. This meant that a segment would contain a single word or a number of sentences, depending on the focus of the student’s comments. These transcripts were typed into a table, using Microsoft Word in order to allow me to sort items by participant, code, time, or data source (i.e., Concurrent Report, Retrospective Report, focus group, Ms. Zingerrnan). After compiling the data, I had collected 315 pages of transcripts and numerous pages of typed and hand written journal entries based on my observations. As 1 coded the data, I compiled over 3500 coded instances that I condensed into eight categories, the most common categories being strategies, followed by assessment, goals, and motivation. Using the sort tool in Microsoft Word, I was able to sort the data and codes in various ways to allow me to recognize trends and tendencies within and among participants. Ericsson and Simon (1993) recommend a system of coding in which broad categories are developed prior to the initial analysis of data to “minimize the contamination of data by ad hoc theory.” They state that decisions made in regard to coding are based on a “specific body of knowledge,” external to the data, that is generated from past research. Therefore, the initial coding process separated data into broad categories based upon the five main themes that emerged from a prior pilot study (Oare, 2006) and the body of literature related to self-regulated practice, including motivation, goal setting, practice strategies, assessment, and supervision and structure. Each broad category was then divided into a number of sub—categories that were derived from the data For example, the theme of goal setting was further divided into specificity of the goals, achievement orientation, element priority, practice time orientation, routine, 83 clarity of criteria, enjoyment, and challenge. As a third level of coding, I added comments that seemed pertinent to each individual code (appendix H). Furthermore, Creswell describes the analysis of qualitative data as “custom-built,” in that the analytic procedures “evolve in the field” as the researcher engages in a process of spiraling data analysis (Creswell, 1998, p. 142). This internal process of analysis includes data collection, data management, reading and memoing, describing, classifying, interpreting, and representing. As the researcher proceeds through this form of data analysis, it is expected that disconfirrning evidence will arise, that suggest emergent categories and themes that contradict or expand upon the external, a priori codes. Therefore, while the initial coding process included external codes based on prior literature, I also included another category labeled “miscellaneous” for any code that did not seem to fit any of the external categories, with the expectation that one or more internal categories may emerge. From this miscellaneous category, another category entitled aural image emerged. When identifying codes within the transcripts, I used capital initials to signify the main category and lower case words to signify sub-categories (Table 2 and 3). I also made necessary notes to further clarify each individual transcript segment. For example, a performance of a scale as a part of a warm-up routine can be coded as “G: routine — warm-up scale,” signifying that the incidence belonged in the goal oriented category (G), it was based on routine, and it was a warm-up scale. This process of coding segments into various levels of categorization allowed for concomitant analysis of the data at multiple levels. Table 2: Example (fa Concurrent Report Transcription Participant Time‘ Data My Comments / Code Nickl 1:54 I'll start with scales G: scales Warm-up routine 84 Table 2 con 'i squeeks, restarts and plays Bb concert A: non-detection Nickl 1:56 scale 3rds and arpeggio G: Priorities — Bad Tone! Turns the page 0k. Now I'll start with the line that Nickl 2:26 was assigned for today G: Teacher assigned Begins, playing 1 1/2 measures, Nickl 2:39 stopping and restarting, S: single repetition: beginning Nickl 3:06 plpys the wrong note in last bar, A: detection note stops plays it again and finishes the Nickl 3:06 song S: single correct repetition at the note Nickl 3:10 OK. I'm going to do the Viciors G: play through vs practice He plays, dropping two beats as he Nickl 3:16 attempts low notes A: ignores rhythm mistakes Nickl 3:49 Finishes the piece - S: play through vs practice having dropped beats in 3 spots Nickl 3:49 because notes didn't speak A: ignored tone issues Tums the page looking for something G: no a priori - choosing whatever he Nickl 3:50 else to play wants Um, I'm going to play my honors band G: challenge — non-band music Nickl 3:50 stufl 8: play through Chromatic scale -plays it through G: play through vs practice Nickl 4:15 once S: plaLthrough * elapsed time displayed on the video player ole of a Retroflnective Rqrort Transcription Table 3: Exam Data/ Tune Oare Participant Comments/Codes Part. Nickl 4:07 Do you know what you were thinking? Nickl 4:11 1 was kind of stumbling on the . . .notes. A: detection - vague Nickl 4:23 Oh. And you were thinking that? Nickl 4:28 A couple of times Nickl 4:36 New tune? Nickl 4:39 Yeah. This is #51 G: no purpose Nickl 5:11 I stumbled right here. Ithinkl started in A: detection ~ vague the wrong spot or something. Nickl 5:19 Oh, and now you're playing other song from that other University! Nickl 5:25 (he smiles) I've mastered this song. I'm Mot: fim smirking here 'because I could see you A: evaluation — what is his out of the comer of my eye grinning definition of mastery? - lots of bobbled notes Nickl 5:44 It's really easy. And it's like line 60. Nickl 5:52 Because it's in out time. Nickl 6: 18 So you pulled out your chromatic. Do you have a reason why you're doing it? 85 Table 3 can 't Nickl 6:21 Because that's what we're doing right 0: teacher assigned now in the class. . . Well 'because I have S: play through to do that for honor's band, and I pulled it out because that’s our assignment now in band. That’s what scale we're doing. Nickl 6:38 Now what are you thinking? To answer question one, “What goal setting and self-assessment comments do novice, adolescent instrumental musicians make during instrumental practice?”, I used the concurrent verbal report data collected from the video of the three practice sessions of each of the participants. 1 tallied the number of coded segments within the major themes of goal setting and assessment and developed a second level of codes. These codes were analyzed for quantity and quality of comments and I determined if other categories of codes did exist, anticipating that the comments from the third level of codes may illuminate salient points deserving further analysis. To answer question two, “What goal setting and self-assessment strategies do novice, adolescent instrumental musicians use during instrumental practice?”, I compared comments made by the students regarding goals and assessment with the actions observed in the video analysis. This allowed me to identify patterns that may have suggested the existence of common practice strategies the students use when engaging in goal setting and self-assessment. I analyzed codes relating to strategies from the transcripts of the practice sessions and the verbal reports in order to answer question three, “Are there differences in practice strategies found among students when they are deliberately involved in goal setting or self-assessment compared to times when they are not setting goals or self-assessment?” Segments within the transcripts were identified by practice strategy used as well as 86 student use of goals or assessments. Segments that include codes for practice strategies and either goal setting or assessment were compared to segments that did not refer to goals or assessments. A tally was made of codes that describe practice strategies, and of codes that combine strategies with goals and strategies with assessments. To answer question four, “What strategies do students use to address various technical aspects of performance (rhythm, notes, articulation, etc.)?”, I analyzed the data from the recorded practice sessions and compared the stated or implied goals and the strategies used to address the goals. I also noted the apparent efl‘ectiveness of each strategy in attaining the corresponding goal. This was done by subjectively noting the difference in the level of performance between the initial and final attempts of the section being rehearsed. Verification and Generalizability Creswell (1998, p. 194) defines verification as, “the process that occurs throughout the data collection, analysis, and report writing of a study.” He advocates the use of the term verification instead of validity in order to emphasize the unique qualities of the qualitative research paradigm and its differences from the quantitative paradigm. He states (p.198), “The naturalistic researcher looks to confirmability rather than objectivity in establishing the value of the data. Both dependability and confirmability are established through an auditing of the research process.” The terms trustworthiness and authenticity are used as concepts to establish the credibility of an investigation. A key method of checking for trustworthiness in a study is by creating a form of triangulation, in which the participant is seen through multiple perspectives. 87 Triangulation can be achieved through the use of multiple forms of data gathering or multiple forms of data analysis. Triangulation was achieved in this study through both means. I analyzed data obtained from the video observation of practice sessions, concurrent verbal reports, retrospective verbal reports, focus group interviews, reflective notes and teacher interviews. Further, the data was analyzed through the process of counting the number of occurrences of each code and through the identification of patterns and relationships between multiple codes. Finally, trustworthiness was established through member checks with Ms. Zingerrnan and limited peer review. I conducted informal “check-ups” with Ms. Zingerrnan at the end of each data collection day. At this time, I related the events of the day and asked for her impressions. I also recruited a fellow doctoral candidate in music education and an experienced instrumental music teacher to review the coding scheme and my assignment of codes to the data. I gave the peers copies of all of the transcripts and asked them to each review one practice session, one retrospective report, and one focus group session. Further discussion with my peers following this exercise helped to clarify the definitions of secondary codes. Finally, I enlisted the help of my advisor, through multiple meetings and discussions, to aid in the review of my interpretation of the data Qualitative studies are generalizable only to the extent that a future reader can identify with the experience described in the study (Creswell, 1998). No attempt in this study has been made to generalize results to all middle school instrumental students. Instead, future readers may consider themes identified in this study and the similar characteristics experienced within their own teaching situations. 88 CHAPTER4 MEET THE PARTICIPANTS: WITHIN-CASE ANALYSIS The purpose of this study was to examine the decisions novice band students make and the actions they take during their instrumental music practice. The original research questions I brought into this study centered on the actions students take and the comments they make regarding the practice goals they set and the ways in which they use assessment to inform their practice. A secondary line of inquiry was intended to describe the strategies the students used to achieve their goals. Through my analysis of the data, another theme emerged that warranted further inspection. This theme describes the influence of motivation upon the decisions students made in their practice. The analysis of data in this study focuses on the activities and comments of the six participants. In order to more richly understand the interpretation of the data, one must get to know each child and attempt to see practice through each student’s individual lenses. Each participant contributed unique, yet similar viewpoints of practice. Three boys and three girls from a suburban Midwestern middle school participated in this study. Four students were in seventh grade while the other two were in eighth grade, and all six students were Caucasian and from middle class families. Two of the seventh grade students and one of the eighth grade students were taking private lessons at the time of the study. All six of the students began playing their band instruments in sixth grade under their current teacher, Ms. Zingerrnan. In order to maintain the anonymity of the participants in this study, the students’ names have been changed. 89 This chapter will present a within-case analysis of each student as it relates to the four external and internal themes of motivation, goal setting, strategy use, and self- assessment. I will present each student as viewed through the lens of his or her teacher and by viewing excerpts from his or her verbal report practice sessions. I will then relate data obtained from the analysis of the practice video, the practice verbal report comments, the Retrospective Report comments, and the focus group comments to each of the themes. Chapter 5 will then present a cross-case analysis which will describe the commonalities in the themes across all six cases (Creswell, 1998). In Chapter 6, I will discuss three common threads that run through each of the themes and suggest a number of general implications for teaching based on these threads. Finally, in Chapter 7, I will summarize the study and provide a set of questions needing fiirther investigation. Scott Scott was a seventh grade trombone player and the lone brass player in this study. Scott comes from a musical family. His father, his uncle and his grandfather all played trombone while they were in school, and his aunt leads a church handbell choir. Slightly over weight and awkward, he lives on a farm and made numerous comments about feeding the cows, driving the tractor, and going hunting with his dad. Scott is a happy young man with a great sense of humor who felt comfortable working with me on a one-on-one basis. According to Ms. Zingerrnan, “He is. . . Quiet in class. Not one to ask questions in class, but if he’s not sure of something, he will come to 9’ me before or after class maybe and ask. But not very often. . 9O Scott became interested in composition earlier in the school year when Ms. Zingerrnan’s student teacher began a composition club with some of his classmates. He stated that the first thing he does when he practices is to spend fifteen minutes composing. At the time of the study, he was composing a piece for brass quartet. Because the practice sessions in this study were shorter than the amount of time he spends at home, he only composed for roughly seven minutes during each one of the videotaped sessions. His goal was simply to work on his composition, and this lack of goal clarity could be recognized as he tended to bounce from part to part without finishing a phrase in either the melody or accompaniment parts. His discussion of his composing process provided a window through which I could view his musical understanding. While Scott said the composition was written in Bb major, there was no sense of a tonal center throughout the piece. He also stated that he did not pay attention to beginnings and endings of phrases and admitted that they sounded like run-on sentences. The rhythms he wrote were simple, consisting of whole notes, dotted half notes, half notes, quarter notes, and eighth notes, and he accurately transposed parts for french horn and trumpet, though his tuba parts were an octave too high. Scott also demonstrated an emergent understanding of orchestration, as he adjusted dynamic markings to bring out the melody and wrote in rests for the trumpet and hom, “When the tuba has melody, so it doesn't sound overwhelmed.” (Scott, Retrospective Report #2). He wrote a bass line that was essentially an ostinato that moved sequentially downwards by step. He also wrote a “harmony” part for the inner lines, but stated, “I'm not doing chords. I'm just doing the same note type of thing. That's because I lost my 91 sheet that has the chords on it, so I don't know the chords. So it's a lot safer to do it that way so it sounds decent.” (Scott, Concurrent Report #1). As a performer, Scott is a “strong section player.” Ms. Zingerrnan describes him by saying, Really, he ’s not a leader in there. He 's following a lot of the time. At least, that ’s my perception. . . He 's one of those kids who’s kind of hit or miss. It ’s either going to be there, or it 's going to be kind of odd, which makes me think that he doesn 't always understand how he should be counting or what he should be doing when he practices. . . Really, I think his biggest problem is consistency of tone, which I don 't think he focuses on that at all during his practice. . . As a practicer, Scott can best be described as someone who tends to play through his music with the goal of detecting mistakes and fixing them. He admitted that he has difficulty detecting pitch accuracy and he plays with a very weak, unsupported tone. Once he detects an error, the standard practice strategy is to stop and start again from the mistake. A single correct performance is typically considered to be sufficient. A better understanding of Scott as a performer and of his practice habits can be seen in the following excerpt from the data sheet for his second practice session with me. Table 4: Scott — Practice Session #2 Time Data Codes / Comments :01 “I'm going to start with a scale to warm up” G: warm-up — scale :04 Begins playing Bb major scale (weak, unfocused tone) :10 Begins playing the 3rds pattern — misses fa to la 92 Table 4 con ’t :15 “dang it! I messed up on a note” A: detection - note :18 begins again, playing the rising pattern accurately 8: single rep. at the phrase :27 3rds going down, missing A (plays Ab) and stops A: detection — note S: single rep. at the phrase :29 begins again, playing Ab instead of A A: non-detection - note :39 I-V7 arpeggios plays Ab instead of A and stops :42 “natural” A: detection —- note :43 Begins again, making the same mistake and stops A: detection — note S: single correct repetition at :47 Begins again, playing correctly, though Eb and C are sharp. the phrase A: evaluate vs assess :53 “Yeah!. . .” A: nondetection -— tuning :55 “0k. Imperium” - pulls out concert piece G: concert tune 1:00 Plays the first note (high Bb) too low A: detection —- note 1:00 plays 2nd 3rd and 4th harmonic to find pitch S: use of overtones Begins the section, playing a whole note too short, then counts 1:03 rests, plays, counts rests etc - with inconsistent pulse A: nondetection — pulse G: play through vs 1:43 Begins the allegro section, and misses a pitch in the 2nd measure improvement 1:47 “Ah, dang it! " A: detection 1:48 Plays again, stops at the end of the 2nd measure S: repetition at the phrase l :54 (Oare) - “What was going through your head?” 1 :56 “I messed up. That it sounds wrong. ” A: Detection — note This pattern of identifying some mistakes and not detecting others, followed by single corrected repetitions of the mistake continued. The following excerpt picks up after he finished practicing this piece: 93 Table 4 can ’t 4:28 “That's better. " A: detection - notes 4:28 “I think I was too high on it. " (he was too low) A: diagnosis — incorrect 4:35 Oare - “What were you thinking about as you were playing? " 4:40 “Mainly, I was thinking about where I was getting stuff wrong. ” A: detection Generally, the same type of practice occurred with the next piece Scott practiced. After he finished practicing the song, the following comments were made: 8:28 “Wow. That was bad. " A: evaluation 8:33 Oare — “What was bad? " 8:3 5 “The rhythm. That area I had to go back and fix a couple of times. The (he sings the last rhythm pattern) That one. Because A: detection — rhythm it has a quarter rest in the middle of the (sings - incorrectly) Dev: knowledge — lack of part. So it's evil (chuckle). Because you wwrt to just have it keep understanding limits his going, but it doesn’t. It stops and then it starts back up again. ” ability with the rhythm 9:03 Oare - “How did you fix it? " 9:05 “Go back and play it again until I got it right. " S: single correct rep. Goal Setting For Scott, as for all of the students in this study, goal setting is not something he consciously does. He stated that he has not been overtly taught how to set goals in band, or in any other school setting, and therefore the goals he does set are vague. When I asked Scott to tell me what types of goals he sets when he practices, his reply was, “Normally, I set a goal to practice it as good as possible. Like to get as much done as I can -— and to please my dad. . . That's about as specific as it gets.” Though Scott was unable to clearly state goals, he seemed to innately set nonverbal goals. His unstated 94 goals appeared through the choice of music he practiced and the musical dimensions he focused upon while practicing. Scott followed a consistent practice routine that suggested a number of unspoken goals. At the beginning of each practice session, the first thing he did was warm-up by playing the Bb major scale in quarter notes at a moderate speed, as written in his band book. When I asked him what goals he has when he practices scales, he replied, “To learn the scales good enough that when I can do a random scale and get it right from memory.” This goal derives from his experience in class, as Ms. Zingerman regularly tests her students on performing scales and their tonic-dominant arpeggio patterns by memory. When I asked Scott why the Bb major scale was the first thing he played in each of his three practice sessions, he replied, “Just to warm up. I never try to play without first trying to play a scale.” I continued with the following line of questioning: Oare What does it mean to warm up? Scott Get your lips ready to play Oare So did your lips feel significantly different than before you played the scale? Scott No. Not really, but — It just gets — Sometimes it ’s just getting pitches in your head. Scott said that he usually played three or four scales each time he practiced, but he only played one or two in our sessions together. Following his warm-up, Scott would begin to practice his band music. He stated that his method of choosing music consisted of picking, “Whatever's farther forward in my folder. I just grab it and practice it for 95 however long I want and I need to.” Though this seems like a completely random method of choosing music, there is a pattern to his choices, because the music in the front of his folder is generally the music he played in band earlier in the day. Therefore, Scott tends to choose the music assigned by his teacher. This was verified as he chose to practice his concert music and the daily assignment given by Ms. Zingerrnan on two of the three videotaped practice sessions. He spent his third practice session playing through his composition. When I asked what his goal was for one of the pieces he played, he said, “The main goal was to get it right.” This, according to Scott, is the goal for all of the music he plays. When I asked if he had chosen a specific note or musical element to improve within a piece he was working on, his answer was often “no.” Though Scott tended to set vague goals as he chose the music he would play, he was able to develop slightly more specific goals as he identified mistakes within the context of his practice. His general plan of action for each song or exercise that be practiced was to play through it and identify his mistakes, correcting them “on the go.” Each time he was able to catch a mistake he would try to determine what he did wrong and attempt to fix the problem. The majority of these ‘mini goals’ tended to be focused on correcting wrong pitches, though Scott also attempted to fix some incorrect articulations, dynamics, and rhythms. There were no incidences in which Scott attempted to improve his tone quality, even though Ms. Zingerrnan consistently identified this weakness on the feedback sheets he received after each playing test. Though Scott did not verbalize definite goals in his practice, some goals may be inferred by the analysis of what he focused on in his practice. In each practice session 96 and Retrospective Report, I asked all six of the students to tell me what they were focusing on as they played. I also asked the students to tell me which elements of music they tended to focus on the most as they practiced. Oare I have 6 words for you to put into priority regarding what you're thinking about in your practice: rhythm, tone, notes, dynamics, style, and articulation. Which of those 6 do you think you put most emphasis on while you're practicing? Scott Number I is probably rhythm Oare What’s #2? Scott notes articulation and then all the others I pretty much try to work at the same time Oare What would you put last? T one, dynamic or style? Scott Usually I work on the dynamics afier I've got everything else down good. (Scott, Retrospective Report #1) Scott later stated that the hardest part in learning a song is learning the rhythm. “Normally a new piece is hard because of the notes and rhythms combined. . . I’ll often notice rhythms before I’ll notice the notes.” (Scott, Focus Group #2). While Scott listed rhythm as his primary concern in his practice, the analysis of the video suggests that he places more emphasis on playing the correct notes. This was demonstrated by the fact that the pulse was often sacrificed in order for him to move the slide of his trombone to the proper position, and by the predominance of instances in which he was able to 97 identify missed notes, but not detect incorrect rhythms. This difference between Scott’s perception and his actions may be due to a lack of rhythmic ability. Though he is more concerned with rhythmic issues, he lacks the requisite skill and knowledge to recognize and confront problems, and he instead focuses on other issues. It is also interesting to note that Scott places tone near the bottom of his priority list. This is noteworthy because Ms. Zingerrnan considers tone to be Scott’s weakest attribute and she consistently communicates this to him via a feedback sheet every time he takes a playing test. It could be that Scott neglects to set goals to improve his tone in his practice because of its position in his hierarchy of elemental importance. Assessment Scott’s method of practice could be characterized as a “search and destroy” approach to learning his music. His approach to each new song or exercise that be practiced was to find mistakes and then fix them. When asked what he was thinking about during his practice, he replied, “Mainly, I was thinking about where I was getting stuff wrong.” (Scott, Concurrent Report #2). The vast majority of mistakes Scott was able to identify were note errors, though there were still a number of pitch related mistakes that he either did not detect or simply ignored. He admitted that he was weak in the area of assessment and generally relied on Ms. Zingerrnan and his father to help him catch mistakes. Scott did not seem to notice any problems with his tone quality or articulation. Both of these areas in his playing were weak, as the quality of his articulation was attenuated by the lack of air support in his tone. Scott also seemed to not notice that his 98 pulse tended to be irregular, especially with pieces that he was just beginning to learn. He often played haltingly as he proceeded from one measure to the next, much like an emergent reader sounds as he reads haltingly from word to word, without sense of phrase. It seems that Scott was most able to catch mistakes in pieces that he could audiate. He made this point within the context of the second focus group session, as he said, “It helps to know what it’s supposed to sound like. Because that way . . . if you play it wrong, you hear it more than if you don’t know at all what it’s supposed to sound like.” He seemed to need to hear rhythm more than pitch, possibly because he was able to approximate the pitch without audiation by reading the notes and placing the slide in the correct position. This necessity to audiate the music in order to identify mistakes seemed to be important for Scott and the other participants. He found that he could gain a better mental picture of “how the music goes” when he heard Ms. Z play it for the class or when he heard a recording of the music. “Last year, our books had the cd’s in them. And so you could listen to the line and get it in your head. And then you could play it.” (Scott, Focus Group 2). Once Scott was able to detect a mistake, he often neglected to diagnose the cause of the problem. He was capable of catching mistakes when his slide was in the wrong position and he caught a wrong rhythm when he mistakenly replaced a half note with a quarter note, but he often lacked the technical or musical knowledge or the audiation skill to detect other types of problems. This lack of diagnostic skill made it more difficult to correct his mistakes. The following concurrent report excerpt exemplifies this point. Scott 0k Now that sounded really bad 99 Oare Why? [He was playing on the wrong partial] Scott Because I wasn't playing the right rhythm or notes. It was supposed to be a lot different. I don 't know exactly what I did wrong, but I know it was very wrong (Scott, Concurrent Report 2) Scott knew something was wrong, but was unable to diagnose that he had not supported his tone with enough air or embouchure strength to play in the proper partials. Scott ofien substituted vague self evaluation for self-assessment. Instead of providing himself with specific information regarding what he did right or wrong, many of his comments were “Pretty good,” or “That sounded bad” (Scott, Concurrent Report 2). This information provided insufficient information for developing further goals. Strategies Scott used a limited range of strategies to try to achieve the goals he had set. The most common strategy he used was to stop as he heard a mistake and then start again just before the nristake occurred in the music. He would continue repeating the music from the same spot until he played it correctly one time, and then he would continue. Each time he made a mistake, this pattern of identification and single correct repetition would start over again. Though he demonstrated an awareness of a variety of practice strategies, he seldom used them. Through an analysis of video, I recognized one instance of deliberately slowing the tempo for a small section of music. Another, accidental form of 100 adjusting tempo occurred a number of other times, as he would play through his music haltingly, as if he were decoding the notation. I also recognized one instance in which he bummed his music, three instances in which he analyzed a small section and recognized similarities in form or scale pattern, two instances of isolating a small chunk of notes, one instance in which he referred to a fingering in his book, and one instance in which he used a pencil to write in a reminder. Scott also mentioned that he constantly taps his toe to help him perform rhythms correctly. As I reviewed the video recordings, I noticed that his toe often did not tap, and that many times his foot tap would be unsteady. He does have a metronome to help him, but he stated that he does not like to use it. Though Ms. Zingerrnan consistently has her students count rhythm patterns in class using the number counting method, Scott stated that he only “sometimes” counts rhythms at home. His theoretical understanding of rhythm seems to be limited, as does his ability to maintain a steady pulse, and these may be reasons for his lack of counting. Motivation Scott’s main source of inspiration and motivation seems to come fi'om his father. “I decided to play trombone because my dad and uncle and grandpa all play trombone.” (Scott Focus Group #1). He mentioned on numerous occasions during both focus group sessions and during the Retrospective Reports that his dad is often in the vicinity when he practices and helps him. He often relies on his father to help him identify mistakes. According to Scott, “My dad often catches way more than I do. And it gets kind of irritating because he's always like, ‘Wait. Go back. No, that wasn't right. ’” (Scott, Focus Group 1). 101 While pleasing his dad is a strong motivation for Scott, he also gets motivation from learning. He enjoys being challenged, as long as the challenge is within his grasp. He especially enjoys the challenge of composition and the opportunity to create something new with his emerging musical skills. Frustration is a negative influence, but he stated that he feels a strong desire to persevere when he encounters difficult music. Summm Scott is a likeable boy who enjoys playing in band. As a trombonist, he is a solid section player, but not a strong musician. His ability to set clear goals and to assess his playing is limited and this relates to his progress as a musician. It seems that Scott’s ability to audiate the music he tries to play is a key factor in his performance. Ms. Zingerrnan stated that, “once he’s got something, he’s got it. It just sometimes takes him a little longer to get there,” suggesting that, in effect, Scott learns by ear, using music notation as a form of memory device. While he has a varied repertoire of practice skills in his knowledge base, the set of strategies he consistently uses is limited. It could be that he will begin to utilize more of the strategies he knows as he develops more confidence in their use. Amy Amy comes from a split family and has a step-brother who plays violin in the orchestra. She alternates living at each parent’s home, causing some distraction with her study routines. Tall and thin with sandy blond hair down to her shoulders and a retainer, Amy is a seventh grade flute player. She is a social young lady who is concerned about 102 appearance and where she fits in the social scene, especially as it concerns the “hot” boys in the school. According to Ms. Zingerrnan, “She’s very social. Extremely social. And I have a sneaking suspicion that she’s going to probably be in choir next year. She’s got fiiends in there.” As a flutist, Amy has difficulty with producing a characteristic tone and using her air appropriately. This causes immense amounts of frustration. Ms. Zingerrnan describes her by saying, It ’s hard to say. Technical stuff, she gets pretty well. . . Tone & musicality, are not there. . .She tends to occasionally be a little lost in class. Well, part of it is she 's blowing into the tone hole instead of across. And I know she gets frustrated. . . She ’s actually not going to be in band next year. She ’s already decided to drop next year. Handed in her uniform and everything. . .She gets frustrated because she ’11 come in and do her chair test, and it will be — You know. Rhythm will be on, and notes will be on, and she loses all these points on tone and dynamics and such and she gets frustrated with what chair she ends up with. Amy’s approach to practicing can best be described as time—oriented. Her key concern is to record the required amount of time on her practice sheet, in order to get a good grade. Oare So how much time do you practice when you practice? Amy half an hour or 45 or 15, or an hour. Or an hour and a half It just matters if I fill up the week and [practice more than 3 days 103 Oare so you're practicing for the practice chart? Amy Just to fill up the week. Oare Describe for me what a regular practice session would look like if I were a fly on the wall and watching you. Amy You'd see me watching TV and practicing at the same time It helps me. I have a TV in my room at my dad's house and at my mom's house I have a computer. So I '1] practice, and then I'll IM (instant message), and then I '1! practice and then I'll 1M. 0r like I'll watch some TVand then I '1] practice, watch TV, practice. . . It all equals a half an hour. Oare So your half an hour takes place over an hour of time? Amy 45 minutes. Because I’m multi-tasking. (Amy, Focus Group #1). Because this study was conducted in the school, I was unable to provide a natural setting for Amy’s practice and she had no TV or computer to distract her. The practice sessions I witnessed demonstrated a general lack of focus toward learning and a large amount of frustration. The general default goal she had for most of her practice with me was to play through the music she had been assigned to play. Her top priority was to play the right notes, because, “That's pretty much what it's about!” (Amy, Concurrent Report #2). Goals 104 Like Scott, Amy did not deliberately set goals for her practice. On multiple occasions, Amy made statements such as, “I don't really usually have a goal” (Amy, Concurrent Report #3). Other times, she would give vague comments regarding her goals, such as, “Pretty much, just get what I can done” (Amy, Concurrent Report #1). Because she had no clearly defined goals, most of Amy’s practice was simply spent playing through songs and exercises. Little was accomplished to improve her performance. At times, she would circle lines in her book that she needed to practice, essentially setting goals for future practice. Though Amy tended to set no goals, or vague ones at best, she did stick rather closely to a routine. When asked to describe her routine, Amy said, “Let's see. . .First I do my scales. Then I do a line fi'om the book - until I get it right. And then, I don't hardly ever practice my concert music. It's too hard. And I don't want to” (Amy, Focus Group 1). After Amy played through her assigned music, she consistemly played random lines in order to fill the time. As I analyzed the videotaped practice sessions, Amy did practice her concert pieces, but that may be due to the fact that she had no TV to distract her. It could also be that the quote was taken at a time when the band had just been given new music. Because it was hard, Amy may have chosen not to practice it until she learned how to play it in class. The first practice session occurred two weeks after the focus group, which gave her time to learn the music well enough to feel comfortable to practice it. Amy’s choice of music to practice is greatly influenced by the daily assignments given by Ms. Zingerrnan. One of the first things Amy practiced was her scales, because Ms. Zingerrnan regulme assigns scales tests for the class. Though she practiced her 105 scales, which also included patterns in thirds and tonic-dominant arpeggios, she did not understand why it was important to learn them. I asked if she understood why she should learn her scales. Amy’s reply was, “I have no idea why we do it. It's so boring.” (Amy, Retrospective Report #3). The other music that Amy consistently played at the beginning of her practice sessions was the daily assignment from the book. Ms. Zingerrnan methodically helps her bands work through their band books, assigning a new line on almost a daily basis. Though Amy knew what line to practice, she was unable to be more specific, because, “I'll practice the line she tells us, but then I don't remember what measure or anything or what piece of music to practice. So I'll just practice all of them.” (Amy, Focus Group #1 ). Amy, more than any other participant, placed an exceptional amount of emphasis on playing the right notes, to the detriment of all other facets of playing. She knew that her tone quality was the greatest weakness in her playing, but gave it a low priority in her practice. This lack of emphasis on tone can be seen in the following focus group excerpt: Oare Amy, you mentioned a concern for your tone — your air. Do you ever do anything about it? Amy Nope. No I don ’t. 1 don’t know how. Oare If you ’re playing really an easy piece that you have down, do you find yourself focusing on other elements like tone? Amy No. Because I don ’t practice it if it ’s easy. Oare What if it ’s a piece you ’re playing in band rehearsal? What are you focusing on if it 's a real easy piece? Amy I usually don ’t. (Amy, Focus Group #2). 106 Assessment Amy’s emphasis on playing the right notes and on practicing for a grade rather than for improvement had a great impact on her ability to self-assess. The vast majority of mistakes Amy detected were of the wrong note variety. This emphasis on correct notes may explain why she missed a number of wrong rhythms, as shown in the following example: Table 5 : Amy —- Practice Session #2 Time Activities / Comment: Code 13:22 Hey Ho Nobody Home - dotted quarters are S: return to tough song incorrect - again. A: nondetection — rhythm 13:42 “I got all the notes. . . ” (turns pages) A: evaluation — notes British Grenadiers - No feel for the initial anacrusis S: raum to tough song 13:49 again. Stops alter the first phrase A: nondetection — meter/rhythm 14:01 “I'll do my concert stufi' now ” S: puts it off Many mistakes also seemed to be ignored, possibly due to her desire to play through her songs instead of working toward improving them. Amy consistently played in a halting manner, much like a beginning reader who spends a great deal of effort decoding words to the detriment of reading phrases. This style of performance results in an underlying pulse that is inconsistent, if not absent altogether. Amy never mentioned this problem in any of her three practice sessions or in her Retrospective Reports. This lack of underlying pulse could also explain why she only detected three of her many rhythmic errors. All of the errors she noticed were simple rhythms, suggesting that her ability to detect mistakes is contingent upon her rhythmic 107 understanding. One of the examples of rhythmic error detection seems to have been caught and corrected without stopping, as the rhythm pattern in question was repeated later on in the piece. Table 6: Any — Practice Session #3 Trme Activities / Comment: Code Nocturnal Dances - lots of rests and long notes are cut short, except for the last note of the phrase (2 A: nondetection — rhythm 14:53 whole notes) 15: 12 Repetition of the section - better rhythm A: correction on the go A great deal of Amy’s assessment comments were related to her sense of self- efficacy as it related to each song or exercise. She made a number of comments regarding pieces, such as, “Alright, I'm good at that one, so I'll play my F scale.” (Amy, Concurrent Report #1). She also wrote evaluative assessments in her book next to various lines. Next to one particular scale, she wrote “fair.” As I asked about its meaning, she replied, “Yeah. I'm not very good at it.” (Amy, Retrospective Report #2). Amy seems to have a small repertoire of diagnostic skills. I detected only one example in which she tried to diagnose the cause of her poor tone, which was simply to check that her head joint was placed correctly. When asked, she was unable to clearly list any other factors that could have possibly affected her tone. Strategies Because Amy is more focused on putting in her required time than on achievement, she uses few practice strategies. Generally, her approach to each song or exercise she practices is to play through it and then move on to the next activity. When 108 she makes a mistake, she deals with it quickly and incompletely and moves on. Her most common overt strategy was to write notes to herself on the music. When I asked if she purposely learned things in small chunks or repeated patterns correctly over and over, her simple answer was, “nope.” The correction of mistakes was usually handled in one of two ways. First, when Amy detected a mistake that she felt she should address, she would stop and begin again either from the missed note or from the beginning of the phrase. A single correct repetition was sufficient for her to feel successful and to move on, even if she played the note or phrase incorrectly multiple times before she could play it correctly. She never seemed to think about correcting the mistake and then putting it into the context of a larger section as a way to improve the fluidity of the piece as a whole. The second strategy she used was to slow down the tempo in difficult spots. Instead of playing a whole section slowly in order to maintain the integrity of the rhythm and pulse, Amy would play what she could at a performance tempo and then slow down greatly in the difficult spots. A typical example of this behavior could be seen when she played the F major scale in thirds. She was relatively proficient with this pattern for the first three pairs of thirds, but then needed to slow down once she reached the altissimo register. In this range, Amy would stall after every two note pattem. As the exercise moved back into her comfortable range, she immediately switched back into a performance tempo. hrstead of repeating the exercise in order to improve fluidity, she proceeded on to the next activity. I recognized many times when Amy became frustrated with an activity. The coping strategy she developed for this was to simply move on to a new song, putting off 109 her work on the difficult piece until another time when she felt more ready to deal with it. I also noticed a number of times when she came back to particularly tough assignments later on in her practice, obtaining mixed results with her efforts. Amy mentioned that Ms. Zingerrnan has the students count rhythms in band quite often, “but barely anybody ever gets it.” I asked her if she used that strategy in her home practice and she replied, “No. Because I know we're going to do it in class the next day. So I just figure I might as well not” (Amy, Retrospective Report #3). Amy seems to reject the process of using theoretical understanding to help her perform rhythms in her music. Instead, she seems to learn by rote, using the music as more of a reminder than as an original source of information. This became apparent when I asked if she was counting the rhythms as she played one of her concert pieces. Amy replied, “No. Just pretending I'm with the band” (Amy, Retrospective Report #3). This strategy of audiating the full band seems to have provided both a rote experience and a sense of pulse for her. Though Amy exhibited limited use of practice strategies, I found that she had been taught a number of strategies. Amy simply chose not to use them because she believed that they would not help her. Oare Has anyboay ever shown you how to take just a little bit and to work on it until you could play it, and then take another chunk, and then add? Amy Yeah. Ms. Z but I don 't think of it that way. I think it 's just better. . . You learn faster if you do just the whole thing, and just. . . Fix the one part that you're worst at, because then if 110 you do it part by part, then you're just going to forget. (Amy, Retrospective Report #2). Motivation For Amy, her motivation to practice was primarily extrinsic. Her purpose for practice was to put in her time. This was exhibited when I prompted her to say what she was thinking during her verbal report session, and her reply was, “Just wanting to get it done.” (Amy, Concurrent Report #2). Also, much of her choice was based on the assignments Ms. Zingerrnan gives to the class. This motivation became apparent during her second practice session, as she practiced a particularly difficult assignment. After yet another mistake, Amy stopped, looked at the book in frustration, began to turn the page, and then stopped and began practicing the assignment once again. This battle between her frustration and her knowledge that she needed to practice the assignment demonstrates the influence Ms. Zingerrnan has upon Amy’s practice choices and Amy’s emergent control over her emotions and impulses. Though she dutifully plays through the material she has been assigned, she also demonstrates that she often does not understand the purpose behind the assignments. To Amy, the scales she plays are synthetic, purposeless assignments, while the tunes she plays are authentic learning. This became apparent as we discussed a section in her concert march, “Bells of Freedom.” In the piece, the flute part repeatedly plays the first five notes of an Eb major scale over four measures. Amy admitted that through learning the song, her ability to play the scale was improved, though Ms. Zingerrnan taught the scale prior to handing out the song in order to aid the learning of the song. Once she learned the scale within the context of the song, the scale gained meaning. This seems to 111 have increased her motivation to practice scales, if only slightly, because she mentioned on a later date that she practiced her Bb major scale because it was the same key as many of her songs. Radosevich et al. (2004) has stated that, in achievement situations, individuals tend to adopt either a learning goal orientation, through which individuals seek to develop competence and task mastery, or a performance goal orientation through which individuals are motivated to demonstrate ability or to avoid the demonstration of their lack of ability relative to others. This orientation toward avoidance was especially apparent in Amy, as expressed in the following focus group excerpts: Oare What would you do if I gave you a piece that was too hard for you? Mandy I'd kill you. Amy I wouldn't practice it. I'd say this is too hard. I don't play it. It 's too hard and my brain would hurt. Nick I'dplay it. I 'd get back in two weeks and play it for you. Done. I 'm good. Oare You like a challenge? Nick Yeah! I'd rather do that than something that's at grade level. Mandy I don 't want to do something that 's super easy, but I don 't want to do something that's super hard. Amy So, like something that I can do. Oare So if it's music that's over your head (I move my hand above my head, then chest then knees), right at your level, or too easy. . . 112 Amy Right there (hand is belly button high). Yup Oare Some people, if they have a challenge, are going for it, because they want to prove they can do it. (Nick smiles and nods). Other people see a challenge and they '11 run away fi'om it. Amy That ’s me and Manny. If I know I can 't improve, then I 'm not going to do it, because it's just like too hard, and I know I can 't do it. So, like if I can 't do it, there's no point in practicing, so I just get something else that I can do. (Focus Group #1) Nick Nick was a seventh grade baritone saxophone player who had also been taking piano lessons since third grade. Nick expressed a passion for old time rock and roll music and musicians such as Bob Seeger and Styxx, and said that he played keyboard, sax, and bongos in a garage band With a medium build, straight brown hair over his ears, and braces, he was bright and easy to talk with, and had a tendency to walk to the beat of a different drummer. Nick was not prone to focusing on details. Ms. Zingerman describes him as a “bright kid” and as someone who is involved in class and has a strong desire to do well. She said his biggest strength is his attitude, though, “Occasionally, his immature middle school boy tendencies take over and he’ll just do dumb things.” (Ms. Zingerrnan Interview). When discussing his musical achievement, Ms. Zingerrnan acknowledged that he has difficulty with his tone, and attributed this to the fact that be practiced tenor saxophone at home and that the difference in embouchure between the two instruments 113 causes him to squeak on the baritone saxophone. She also expressed some concern about his consistency in class. That ’s another inconsistent kid! (ha ha) I wonder, honestly, if there ’s some focus issue with this child, because sometimes we ’11 do something in band and it 's right on. The rhythm ’s good and notes are good. Other times . . .he ’s a finger bobbler. He '11 go to hit a note and wiggle around until he lands on the right one. It ’s like, ‘it's in there somewhere. I ’11 just keep wiggling my fingers until I find it. ' He ’s definitely putting enough air through the instrument, because he 's got a big sound But that finger bobbling thing drives me nuts! (Ms. Zingerrnan Interview). As a practicer, Ms. Zingerrnan said, “He does not practice a lot at home. And I think if he did, that would probably go away, because he is a bright kid.” Nick, on the other hand, says he practices every day, but that a lot of the time he spends is playing his bongos or playing rock times he downloads off of the Internet. Nick’s practice can best be described as a value of quantity over quality. The following excerpts may help to paint a picture of Nick at practice: Table 7: Nick — Practice Session #1 Time Activities / Comments Codes l :54: “I'll start with scales ” G: scales - routine 1:56 Squeaks, restarts and plays Bb concert scale, G: Priorities-Bad Tone! 3rds and arpeggio S: Single correct rep. “0k Now I '11 start with the line that was 2:26 assigned for today" G: Teacher assigned ll4 Table 7 con ’t 2:39 plays 1 1/2 measures, stops & restarts S: single rep: beginning 3 :06 plays the wrong note in last bar, stops A: detection note 3:10 OK. I'm going to do the Victors G: play vs practice 3: 16 He plays, dropping two beats as he attempts the low notes A: ignores rhythm mistakes 3:49 Finishes the piece - having dropped beats in 3 spots - notes didn't speak A: ignored tone issues 3:50 Turns the page looking for something else to G: no a priori — choosing play whatever he wants 3 :50 I'm going to play my honors band stufl G: challenge —- non-band 4: 15 Chromatic scale -one time with many mistakes G: play vs practice This type of practice, in which Nick simply played through songs and exercises, ignoring most of the mistakes or simply stopping and starting again from the mistake, continued. After 20 minutes of practice, Nick had played through 17 different pieces of music. Immediately after the practice session, while the videotape was being prepared for review, the following conversation took place: Oare Nick Oare Nick What do you think about this practice session? What went well, what didn't go well? What would you do next time? I '11 bring more music next time because I ran out of music. Because I 'll probably talk more then. Did anything go any different than usual? Well, usually I have more music, but. . . Report #1). 115 (Nick, Retrospective Nick practiced in this way during all three of his sessions with me. He played through between 13 and 17 songs and exercises in each session. Only in the third session did Nick play something through a second time because the first time was not played well enough. _G_oal_s_ For Nick, goals are things you “do.” Almost every time Nick began to play a piece, he said that he was going to “do” it or “play” it. I asked Nick if his goal in his practice was to improve something in particular, to play for the amount of time that Ms. Zingerrnan requires, or to play as many tunes as he could, and his reply was, “Kind of like a combination of all three of those, because I need to do the time that she says, but I want to get better at as many songs as I can within that half an hour.” (Focus Group #1). Nick, like Scott, Amy, and the other students, does follow a loose routine. In all three practice sessions, Nick began with a scale. He also played the line out of his band book that was the assignment for the day. Next, he played through his concert music. After that, Nick’s choice of music to play was totally random, as he played songs from the book that he enjoyed playing. He said that in his practice at home, he plays through the music that his private teacher assigns him, but he did not remember to bring that music to school on the days he worked with me. Nick said that he had not learned how to set goals in school. In band, he mentioned that Ms. Zingerrnan “kind of says at the end of the day, ‘oh you got to do these for tomorrow.’ But that's all.” (Nick, Retrospective Report #1). This may explain why Nick was unable to set a clear goal in any of his practice. 116 Instead of setting goals, Nick could identify the particularly difficult aspects of a piece of music he was about to play, which did provide a vague focus of direction in his practice. Nick realized that his tone was a continual problem and, in a way, he set a goal to improve it “I was just trying to get rid of that squeaking noise over anything else throughout the whole thing.” (Nick, Retrospective Report #2). Though he did have a goal to improve his tone, he was unable to devise a plan to help him achieve it. Ms. Zingerrnan has her bands play long tones every day as a way to develop tone, but Nick did not know the purpose of these exercises and was unable to understand that they would help him reach his goal. Nick felt that he focused his attention more on dynamics and articulation during practice than on any other elements. He said that he focused least on notes, because, “if you put the right fingers down, then you'll get the notes out. So you really don't have to really pay attention to that. And I've really got that down. But with the dynamics, I'm not very good with the dynamics.” (Nick, Retrospective Report #1). Though be listed dynamics as his top priority in his playing, analysis of his practice video suggests that this may not be the case. My analysis of the comments he made throughout the study found that Nick’s focus depends upon how well he has learned the piece he is playing. Initially, Nick concerned himself with rhythm. Though Nick did seem to have a high concern for playing the dynamics, he described the process of learning a new piece of music by saying, “I'd probably do the thing without worrying about the dynamics much. And then get the rhythm and the notes and everything good. And then do the dynamics. That's probably the last thing I do.” (Focus Group #2). 117 Assessment Nick’s concern for playing through his music rather than practicing it had a profound effect on his ability to assess himself. To him, a successful practice of a song or exercise meant that he played all of the way through it When asked how he knew when it was time to move on to the next thing in his practice, he replied, “Probably when I'm good enough at that song, or I'm just getting bored with that song.” (Nick, Retrospective Report #2). More mistakes seemed to be ignored than detected. When I would prompt him to tell me what he was thinking during his practice, he would make evaluative comments regarding his performance such as “that was good,” or “that was bad,” rather than prescriptive comments related to specific items that went well or needed attention. When asked to be more specific, Nick would make comments such as, “Yeah. It was kind of sloppy - that whole piece, pretty much.” (Nick Concurrent Report #2). When Nick could audiate the song he played, he was able to assess accuracy more effectively, but he still had trouble being specific. After one such piece, he said, “I did it more like the actual song sounds like that time.” (Nick, Concurrent Report #3). Nick’s problem with his tone was a major factor in each practice session and he made comments about it each time. Though he knew it was a problem, he could not diagnose the cause, making comments such as, “I was like really stumbling on the notes. I don't know why, but today I have like bad soun (Nick, Concurrent Report #2).Even though he made comments about his tone, it did not seem to register in his mind that is was a constant problem that needed to be addressed. Oare My question is, as you practiced, was there a general 118 Nick Oare Nick Oare Nick Oare Nick Oare Nick Oare Nick Strategies mistake that tended to happen? key signature. Ok. If I was to categorize all your mistakes, there were key signature mistakes. What other mistakes happened today? Rhythm. Rhythm. Anything else? Articulation. Is that it? Those were the main ones. What else? Um. . . Dynamics, rests, counting. I’m curious. Why haven 't you put the notes that didn't speak on your list yet? You even made a comment about it. Yeah. . . Because I forgot about it. I don 't know (Nick, Retrospective Report #3). I found the fewest number of instances of codes related to practice strategies in the data Nick produced. In this list of codes, I found instances in which he penciled in reminders to himself, slowed the tempo (but only in the difficult spots), and repeated sections multiple times. While the variety in this list seems good, I only noticed each of these codes one time. This lack of strategy use could simply be because Nick took little time to reflect as be practiced. He often began playing a song before the sheet of music 119 could settle on the music stand, suggesting that he gave little thought to the music before playing it. The most common strategy code I found within Nick’s data was titled “correction on the go.” For Nick, this code describes the multiplicity of examples in which he made mental notes to himself to correct wrong notes, rhythms, articulations or dynamics the next time he passed through the song. Oare What do you do when you notice a mistake? Nick Keep going, because I'm not going to stop. . .Because if] 'm going to do a four line piece, and I mess up on the 3rd measure, I'm not going to stop and do the whole thing again. I'm going to finish it so I can go through it again and notice all the mistakes I made and make sure to fix all of them. Instead of going here and missing the same thing and then the next line. (Focus Group #1). This strategy did not seem to work well for Nick, because he played many of the same songs in all three of the practice sessions, and he made many of the same mistakes in the third practice session that he had made in the first. Though the strategy seemed ineffective, Nick was certain that musicians need to play through a complete piece in order to play it well. When asked why, he replied, “Because it’s easy if you start by looking on that [wrong] note and you say, ‘oh that’s what I need to fix.’ But if you play the whole thing, then you have to be ready for this note to come up.” (Focus Group #2). Aside from the strategies listed above, Nick had a limited practice repertoire, and he used many of his practice strategies ineffectively. Though Nick understood that 120 repetition was an effective strategy, he generally repeated something correctly only one time, if at all, and then moved on. On only one occasion did Nick play a pattern of notes correctly three times in a row before moving on. When he would slow down in his practice, it was only at the difficult spots in the music. Because he never mentioned slowing down as a deliberate strategy, it may be that this slowing down was not a strategy at all, but simply a demonstration of his emergent reading and technical skills. When discussing his tone and control, Nick admitted that he had no strategies to address the problem, stating, “I don’t even know one.” When asked if he ever thought of playing long tones at the beginning of his practice to remind his embouchure of what they need to feel like, he replied, “Yeah. I could do that. I never thought about that before though.” (Nick, Retrospective Report #3). He also seemed to lack a firm understanding of the rhythm counting method taught in class or an understanding of meter. Though he lacks these strategies, Ms. Zingerrnan has stated that she has consciously taught these strategies, and others, in class, but she admits, “I don’t have as organized approach as I probably should.” (Ms. Zingerrnan Interview). Motivation Nick seemed to love the idea of making music. He said he practices six or seven days a week on piano, sax, and bongo. He takes lessons on piano and saxophone and he plays keyboards in a garage band. Ms. Zingerrnan also has stated that he has a terrific attitude and loves band. On the outside it seems that Nick is a highly motivated young musician, but as I studied his actions in his practice, I saw conflicting data. It is through the analysis of the contrasts between challenge and priorities, between approach and 121 avoid goal orientations, and student choice and assigned music that we may obtain a better understanding of Nick’s motivation in music. Nick expressed on many occasions that he enjoys a challenge. He pursued extra challenges by attending band camp, playing with his garage band, and auditioning for a regional middle school honors band. On the other hand, Nick consistently exhibited sloppy performances with an uncontrolled tone and often a lack of a steady pulse. It seems that his motivation was not to play his music flawlessly. Oare You were able to tell me pretty accurately where the mistakes were in each of the pieces you played Why didn't you go back and fix them? Nick I don 't know. Because these pieces are too easy. And yeah. You could say. . . I don't know. . . It 's because it's like. T hey 're too easy and I'm getting sloppy with them. That's probably why I'm making mistakes. I need harder music. Oare But yet there wasn't a piece that you played flawlessly. Yeah ..... I don ’t know. Because you get kind of sloppy. Nick Well 1 do. I get kind of sloppy. . . Like most of these songs I 'm good at. And I 've mastered. So. . . . (Nick Retrospective Report #3). Instead, it seems that Nick may have been more motivated to have people say he can play lots of music than to say that he actually played it well. As a seventh grade student, he already has a reputation as a “band geek” among students such as Amy. This title could 122 have been caused by his own self-promotion. Or, this lack of motivation to focus on the details may be a developmental issue in which he is not yet capable of taking care of details. He seemed unable to realize that his cognitive understanding of how to play his music does not necessarily translate to performance achievement. I witnessed both ego-approach and ego-avoid goal orientations at different times with Nick. He stated during our first focus group that he was constantly competing with another of the seventh grade saxophonists. He seemed to enjoy learning challenging music, as long as he felt he could play it. But, if Nick had a low self-efficacy regarding his ability to play a piece, he would avoid it. This can be seen in the following practice session excerpt: Table 8: Nick —- Practice Session #2 Time Activities / Comments Code He begins Here We Come A Wasailing in the 2nd phrase, with little mental or physical set up before Mot: avoidance of the 6/8 part he 10:01 playing doesn’t understand 10:35 Oare "Why didn'tyouplay the beginning?" 10:38 “I don't like the beginning part. I only like the end ” Mot: avoidance 10:42 Oare “Why don't you like the beginning? " 10:43 “I don't know. “ Met: doesn’t know One reason Nick avoided the 6/ 8 section of the piece is that he felt uncomfortable with the new time signature. This occurred in a small number of other songs from the book. Finally, Nick showed varying degrees of motivation based on the music he played. Nick was motivated to focus a small amount on exercises that were to be tested in class. He also reacted productively, though reluctantly, toward the assignments his 123 private instructor gave him, saying “I have to do it pretty much, because I'll get in trouble if I don't.” (Nick Focus Group 2). On the other hand, Nick expressed a desire to play old time rock and roll and stated that he practices that music at home instead of the band pieces. Summag Nick likes to play songs his saxophone, but does not seem to practice with a specific goal for improvement. Instead, Nick to plays through his music without giving it much thought. Like the other students in this study, he places greatest priority on producing the correct notes and rhythm, to the detriment of his tone and articulation. This emphasis seems to attenuate his ability to assess other aspects of his playing. Nick has firm beliefs in regard to how he should practice, yet he lacks specific practice strategies that he could use to produce music more effectively. Mandy Mandy is the final seventh grade participant. She is girl of medium height and build with straight sandy blond reaching just beyond her shoulders, a mouth full of braces, and glasses. She had played clarinet since sixth grade and began taking clarinet lessons in the fall of seventh grade. Mandy seems to want the identity of being in the “popular crowd,” but, according to Ms. Zingerrnan, “I don’t see her as being in the same social group with Amy. I think she’s one of those who wants to be in the popular group, but isn’t quite. That’s how I see it anyway.” 124 Mandy can best be described as a generally nice girl who can be negative toward herself and others from time to time. This behavior became apparent many times during our practice sessions together, through her distaste of songs she had to practice or her lack of motivation to use practice strategies she had been taught, because she was, “lazy with a capital L.” (Mandy, Retrospective Report #3). Along with participating in band, Mandy took private clarinet lessons. She also has been helped with her music in the past by her brother who plays trumpet in the high school band, who Ms. Zingennan describes as an average to below average musician. As a musician, Mandy is a steady section clarinetist who needs the support of other students around her in order to be successful. According to Ms. Zingennan, Mandy is: Rhythmically very weak. . . It 's something her (private) teacher and I have spoken about a couple of times. You 'd like to think that you can teach that to every kid. But, I 'm not always sure. Pulse is an issue for her. Her performance in class is alright. When she gets her fingerings down then she ’s 0K in the section. She 's not going to stick out. . . She practices a lot at home. At least she says she does. And she probably actually is putting those minutes in. But 1 ’m sure she 's not focusing on what she ’s doing. (Ms. Zingerrnan Interview). Ms. Zingennan stressed that Mandy’s strength is her ability to play consistently once she leams her part, suggesting that Mandy needs to hear her part multiple times before she is able to hear it in her head. Ms. Zingennan explained, “She’s definitely not a 125 leader. But if somebody’s playing her part next to her, she’s going to be just fine. It’s kind of funny, because big brother was the same way.” (Ms. Zingennan Interview). Mandy described her own practice as “totally random.” Though I agree that it lacked clear focus in her choices, there were times when her ability to make effective decisions began to emerge. Other times, it seemed that she lacked the prerequisite knowledge for effective practice, or was unable to discipline herself enough to overcome the urge to only play music that she liked and could be successful playing, as exposed in this excerpt: Table 9: Mandy — Practice Session #1 Time Activities / Comments Code 4:54 “I '11 play the line we ’re supposed to play in class. " G: teacher assigned - #74 Begins to play in triple meter - the first phrase is ok 4:58 rhythmically but missed the key A: non—detection — key 5:10 2nd phrase has problems with meter and rhythm A: non-detection - meter 5:27 “I think I played that A too long. ” A: detection - rhythm 5:29 Oare - “What were you focusing on? ” 5:32 “I don't know . . I don't like 3/4 time. " Met: don’t know 5:40 “You were playing the 3/4 line and not the 3/8? ” (Line 74a or 74b) 5:43 “3/4. I don 't even know how to play 3/8! " S: knowledge? 5:59 plays it again —it slips into duple meter A: non-detection — meter 6:08 “That's weird. ” Mot: external locus 6:44 begins the line again, playing 2 notes S: repetition - beginning “I missed a quarter note. I'm going to do some other things A: detection - rhythm Mot: 6:49 now. ” avoidance 126 Q9a_ls Mandy seemed to have two mental agendas warring with each other during practice. The default goal of the first agenda was, “do your assignments,” and the default goal of the second agenda was “avoid failure at all costs.” Generally speaking, while Mandy attempted to follow the first agenda, the second agenda won out in each of the three practice sessions. The key factors for the first agenda were the assignments given by Ms. Zingerman, her private teacher, and upcoming concerts. Mandy began each lesson in the same way as the other seventh grade students, by playing through her scales and her daily assignments instead of deliberately practicing them. This may be due to a lack of specificity in her goals. Each time I asked Mandy to tell me about her goals for each thing she played, the answer was either that she had no goal, or that she wanted to improve “everything.” In essence, the target Mandy aimed at was either hazy or nonexistent as exhibited in this exchange: Oare What will you do the next time you practice that piece? Mandy Practice it. Oare Just play? Mandy Probably. And probably like slow it down. Oare Anything specific you want to improve on it? Mandy Not really. (Mandy, Retrospective Report #3). This lack of goal specificity could possibly be the cause of Mandy’s lack of skill in prescribing remedial goals when she was unable to meet the goals set by her teachers’ 127 assignments. Instead of creating secondary goals for the difficult music she played, Mandy would try to meet the larger goal by playing through the music once or twice. If she was unsuccessful, she would simply move on. The second consequence Mandy encountered due to her lack of specificity was an inability to persevere when she was unable to meet her goal. The less specific her goal, the less time she seemed to spend on the activity. On the other hand, Mandy did persevere with assignments that were to be tested and did spend more time attempting to improve upon them. An example of this occurred during her third practice session with an exercise that was to be tested to determine chair placement within her section. She practiced the piece at the beginning of her practice time and moved on to other assignments. After playing three other assignments, she went back to the first assignment, saying, “I'll try to play my chair test one more time.” The key factors for Mandy’s second agenda, “avoid failure at all costs,” were avoidance and distaste. Mandy avoided the music she did not like. She had a strong desire to play only the music she liked, and therefore spent little time on the rest, explaining her actions by saying, “I don’t like that one,” or “it’s weird.” (Mandy, Concurrent Report 3). It seemed that the music that made it into her list of enjoyable pieces was the music that she could already play successfully. Therefore, Mandy’s list was constantly changing. For example, during her first practice session with me, the following series of activities took place: Table 10: Mandy — Practice Session #1 Time Activities / Comments Code 7:52 “I think I'm going to try Imperium ” G: Teacher assigned 8:00 Begins Imperium, playing the intro 128 Table 10 can ’t 8:14 “hmm. . . Never mind. I don't like that one” G: random choice One month later, during the third practice session, Mandy had this to say: Table I l : Mandy ~ Practice Session #3 Time Activities / Comments Code 10:26: (Afier playing the D major scale) — “I don't like that one. Too Mot: efficacy / avoidance / 00 many sharps " - Turns Pages locus 10:30 Oare — “What do you like? " 10:33 “Lots of things! I like lmperium and Nocturnal ” Mot: success 10:39 Oare — “Why? " 10:40 “Because they're challenging, but not too challenging" Mot: challenge One of the side effects of this form of choosing goals and what music to play was that Mandy was more focused on playing her music rather than honing her skills. Because she played through whole songs rather than spending the time to perfect sections within her music, her focus turned more on putting in her time than on improvement. Assessment To self-assess one’s own performance requires the musical aptitude to audiate the desired result and to accurately acknowledge the specific aspects of performance that do not meet the target, while also requiring the desire to attend to the quality of the performance at hand. Mandy was able to exhibit these requirements in some ways, but was lagging in others. As I analyzed video and audio recordings, I found that Mandy missed nearly the same number of mistakes as she detected. It seemed that four things attenuated her effectiveness with her self-assessment: unclear goals, theoretical misunderstandings, aptitude, and a lack of strategies to fix problems. 129 Mandy set few goals, and the goals she did set were generally unclear. Therefore, she had no specific aspects of her playing to listen for. Because of this, a number of mistakes related to dynamics, articulation, and rhythm went by unnoticed. The result was a number of undetected mistakes and other mistakes that were detected, but too vague to provide sufficient information to put her on the path to improvement. This lack of focus also resulted in a number of generally negative evaluative comments that led to frustration and were too vague to help guide finther goals. After she practiced a piece of music, she also rarely spent time reflecting upon her progress, resulting in a continued lack of goals. Second, Mandy’s tonal awareness was weak, as was her sense of heat and meter. Because of these apparent weaknesses in her musicial aptitude, she was unable to recognize mistakes as she made them. In one particular instance, Mandy began playing a song in the key of Bb major, and she continually played E naturals, never recognizing the mistake. This may be due to an undeveloped aural schema that could consistently hear tonality. She generally was able to decode notation accurately, though her accuracy may have been due more to her decoding ability than her ability to audiate the music. Mandy expressed little confidence regarding her rhythmic skill, possibly due to a combination of a lack of rhythmic aptitude, as described by Ms. Zingerrnan, and a novice understanding of rhythm notation. This was demonstrated many times as Mandy was unable to maintain a steady pulse in her practice and did not seem to notice. Mandy did not understand the difference between duple and triple meter, and therefore was unable to perform with a sense of meter. She did not understand the value of a dotted quarter note in relation to the other notes around it or the relationship of notes in a syncopated pattern. 130 She also had little experience, and even less self-efficacy with 6/ 8 meter. Because of these deficiencies in knowledge, combined with her weak sense of pulse, rhythm mistakes were the most common type of mistakes to go undetected in Mandy’s practice sessions. Finally, Mandy often seemed to ignore the mistakes that she was unable to prescribe solutions for. When I asked what strategies she knew to help her fix rhythm and tone mistakes if she did catch them, her reply was, “I don’t really have a strategy” (Mandy, Focus Group #2). This was especially the case with her tone. During each of her practice sessions, I noticed that she did detect tone problems near the beginning of her practice time. She used no strategies to help her gain control of her tone, so the tone problems continued, but she stopped detecting the problems when they occurred. Strategies Though I have decided to present the practice of my participants through the use of four separate themes, it is important to remember that each theme has an effect on the others. The goals one makes are ofien influenced by an assessment of which musical element deserves the highest priority, and the strategies one chooses are influenced by the chosen goals. The quality of assessment can influence motivation by creating hope or dashing it, while motivation can influence one’s goals and the choice of strategies. Mandy’s use of practice strategies is a good example of this principle. Because she entered her practice with either vague goals or no goals at all, she was unable to choose the appropriate strategy at the outset of her practice. When she had no goals, she generally just played through her music, stopping and starting again when big mistakes 131 happened, or slowing down when the music became hard and speeding back up again when it was easy. When she chose to address what seemed to be her ‘default’ focus (playing the correct notes), her unsteady tone caused problems. But, since she had no strategies to deal with her tone, she was unsuccessful, causing frustration and engaging her avoidance strategy. If she chose to focus on rhythm, her lack of understanding made it difficult for her to detect mistakes, thereby negating her ability to set remedial goals to address the problem. Mandy did know of a number of practice strategies that she consciously chose not to use. Her desire to play through the music superseded strategies that took place outside of performance of the music. For example, when asked if she ever played long tones to help focus her tone, she said, “I don’t do it consciously or unconsciously. 1 just don’t.” (Focus Group #2). When asked if she ever practiced counting a rhythm before playing it, she replied, “not usually.” (Mandy, Retrospective Report #1). When asked if she ever practiced saying and fingering the note names of difficult sections, she said, “No. I just won’t do it. . . it sounds weird and that’s one of the reasons.” (Mandy, Retrospective Report #3). This lack of non-performance practice was not always the case. Mandy did stop her play and analyze her music from time to time, as in the following example: Oare Do you look for patterns at all? Mandy Just notes. Oare I noticed you analyzed the fingerings on the chromatic scale. You stopped and you figured it out. Mandy Yeah (smiles). Oare Is that a pretty common thing you do? 132 Mandy Yeah. The concept of practicing for the purpose of creating habits was new to Mandy. As with all of the participants, when she would repeat some portion of her music, one correct repetition seemed to suffice. Also, along with all of the participants, she used aural imagery of the music as a leaming strategy. If she knew what the music sounded like, she was much more accurate. This use of aural imagery was apparent when Mandy said, “When I was playing this, I knew exactly what I was thinking. When I stopped I was thinking like the bass clarinets and the bassoon ..... when I stop, they go 'whack whack'. I was thinking that . . . whack whack! (said in time as she was listening to the practice video)” (Mandy, Retrospective Report #1). As Ms. Zingerrnan stated, rhythm is a challenge for Mandy, but she is beginning to develop strategies that should begin to help her improve her skill. Mandy stated that she does tap her toe to the pulse, “sometimes when I think I’m going to mess up.” (Mandy, Retrospective Report #1). She was capable of keeping a steady beat with her foot when playing simple rhythms, but when she encountered more difficult rhythms such as dotted quarter notes or sync0pations, her foot tapping and her sense of pulse stopped. She also stated that she does count rhythm patterns using the counting system taught by Ms. Zingerrnan, saying, “I’m always counting in my head.” Again, this seemed to be true with simple rhythms. When asked to count more difficult patterns, she lacked understanding and therefore was unable to count as she played. Finally, I found that motivation played a big part in Mandy’s use of practice strategies. Mandy would not practice her solo music for me during our sessions, because 133 she would either leave her music at home or she did not feel comfortable playing the music in front of people yet. During our final practice session together, I asked Mandy if she practiced her solo music by playing straight through it, as she did with her concert music and the music out of her band book. Her response showed that she did have a an understanding of how to break a piece down into more manageable chunks, but that she simply chose not to do it, except when the music had value to her. Oare So if you take it down into smaller measures,. . . I haven 't seen you do that in the book. Mandy Because I don 't want to. Because I'm lazy with a capital L. Oare Then why do you want to do it on this one? Mandy Because I'm going to be playing it for solo (and ensemble festival). Oare Fair enough. So you have more buy in on this one. Mandy Mm hmm. Oare You do consciously do that? Play through this, play through that, and with your solo say, ‘now let’s get serious? ’ Mandy Mm hmm. Motivation For Mandy, achieving success and avoiding failure is the key to her motivation. Her “totally random” approach to choosing music to practice was often due to her search for music that she liked. Usually she would play songs she liked over and over. But on numerous occasions, she would play through a few measures of a piece, encounter some 134 difficulty, and then say, “I don’t like that,” and turn the page to find another song to play. In some instances, she would return to the music she left later in her practice session, once she felt more able to play it. Frustration also seemed to play a large part in Mandy’s motivation. During her second practice session with me, she chose to begin by playing a difficult assignment and had an especially difficult time producing a steady tone. As we progressed further into our time, her brows became more furrowed, her head began to fall, sighs came more rapidly, and responses became short. She turned the page and began to play scales, but her tone continued to cause problems. Finally, only eight minutes into our allotted time, Mandy said, “I don’t know what else to play,” and the session ended. Impending performances seemed to have a positive affect on Mandy’s motivation. This can be seen in her more deliberate use of practice strategies in order to prepare her solo for an upcoming solo and ensemble festival. Though she did not practice her chair test excerpt as effectively as she said she practiced her solo, Mandy did play through it more often than other songs that were not to be performed Finally, the influence of her teachers and parents provided the direction and motivation that she could not yet provide for herself. Mandy consistently practiced the music assigned her by Ms. Zingerrnan or by her private teacher. Furthermore, the encouragement she received from her parents, suggested by the provision of private instruction, seems to suggest that the adults in her life had a strong influence, whether intrinsically or extrinsically, upon her practice. Summary 135 For Mandy, seemingly more than the other participants, the themes in this study are strongly interrelated. Her motivation to avoid failure has a strong effect on the goals she makes and her choice of music. Her lack of focus with her goals led to unfocused practice strategies and vague or negative assessments that had a negative impact upon her motivation. Her practice seemed most focused and she demonstrated more perseverance when she was guided by her teachers’ assignments and informed by an aural image of the music she was playing. Matthew Tall and thin with braces and a slightly nasal tone in his voice, Matthew played alto saxophone in the eighth grade band. Though he seemed slightly awkward in the focus group sessions, I quickly found that Matthew felt comfortable in our practice sessions together and was open about communicating his thoughts and beliefs on practice. Ms. Zingerrnan said, “I love him to death. He’s the kid who sits next to the chaperone on the trip. I think he relates to adults better than he relates to kids.” (Ms. Zingerrnan Interview). . Matthew usually had a steady tone and seemed to have good control of his fingers, but my field notes were riddled with comments about his lack of a steady pulse. I noticed that this was especially true as he played notes longer than a whole note or non- melodic accompaniment lines within his band music. When describing Matthew as a musician, Ms. Zingerrnan said, The kid 's a scale fiend! . . . I don ’t know that he has that much of a sense of internal pulse. I know that I ’ve worked on rhythm strfir with him outside of class 136 as well as in class with him. . .Now, his performance in class is generally pretty good. That sense of pulse comes into play occasionally. Until he knows a piece, he '1] usually lag behind and follow whoever else has the part. But once he ’s got it, he leads. (ha ha). But he ’s not the one teaching it to others. He definitely practices at home. And, I think with the minutes based thing we have set up right now, he is very determined that he is going to practice his 30 minutes every day. He makes sure that happens. I don ’t think he ’s setting goals hardly at all. Probably just running straight through stzfl (Ms. Zingerrnan Interview). Matthew had definite views in how one should practice. During our concurrent and retrospective verbal report sessions, he described his reasoning for the decisions he made much more often and in more detail than the other participants. Often these explanations contained bits of logic that were worded in a confusing manner. For example, he once said, “And depending on the piece, after you‘re warmed up, you can go back and practice through it to see if it sounds better or different than when you originally started.” (Matthew, Concurrent Report #2). At other times, Matthew’s comments seemed a bit odd. During the first focus session he explained that he uses the mirror in his practice to look at his hands but not his embouchure because, “I think I heard this from a guy. . . He said if you ever watch yourself on video, you'll see what you are really like or something. It's not good. Don‘t watch yourself on video.” (Focus Group #1). Ms. Zingerrnan was accurate to some extent in her assessment of Matthew’s practice methods. He did tend to play through his music, but he also seemed to have some 137 thoughts resembling goals when he practiced. He seemed to focus more on becoming a better player than simply putting in the time. _C_3_oal§ Matthew generally did not set specific goals with clear criteria or devise plans of action to reach them, but he was able to say what he would focus on as he began practicing a new piece of music. This focus was quite often on articulation and dynamics, more so than seventh grade participants. When asked what he focused on the most, Matthew said, “I think about tonguing and beat, but fingering, that was more like last year and the year before.” (Matthew, Retrospective Report #2). On another occasion, he stated that he tries to focus on everything and admitted that this may cause problems in his playing. Though Matthew stated that he focused on rhythm the most, he often had troubles maintaining a steady beat and seemed quite surprised the few times I brought up this difficulty. For example, during our final focus group session, I mentioned that he played a song that was written in 4/4 as if it were written in 6/8. His response was, “I played it in 6/8? Wow! Oops! . . . Wow. I don’t know how you can play a 4/4 piece in 6/8 and still have it sound good.” (Focus Group 2). Therefore, his lack of ability to assess the need most likely had an effect on the goals he set. Matthew seemed to have a routine in his practice. He started his first two practices by playing scales as his way of warming up. Then he would play his daily assignment, which was from one of his band pieces. This was followed by a difficult piece of music and then a few other pieces he wanted to review. At some point in time he 138 would “take a break” and either improvise or play a pop tune by memory. His improvisations had no chordal structure or discemable meter and the pop tunes came from a book of movie tunes he owned. He finished up his practice by going back to the difficult piece. Matthew made a number of comments regarding the need for an aural image to help him know what a piece would sound like. As he began to play a pop song, he said, “Sometimes, if you're playing different songs, it helps to know the words, so you know exactly how it's kind of supposed to sound.” (Matthew, Concurrent Report #3). This need for an aural image could explain why Ms. Zingerrnan stated that he is slow to learn his music, but once he learns it, he plays it well. It was also apparent as be practiced his band music. As an alto saxophone player, Matthew switched back and forth between playing the melodic and harmonic accompaniment lines. I noticed in all three practice sessions that his pulse and musicality were relatively fluid as he played his melodic parts, but be consistently lost his sense of pulse and phrasing when he played accompaniment parts. Matthew seems to be concerned with earning high grades. Therefore, his learning goals were highly influenced by Ms. Zingerrnan, as exemplified by her comment that he makes sure he practices enough to get an A on his practice sheets. Also, because scale tests are important in class, Matthew has become a “scale fien This desire to succeed and to show others how well he could play could be seen in many comments he made. When asked to tell me what he thought the hardest part of playing a difficult new piece of music would be, he replied, “What would scare me most at the beginning would not be trying to get the notes and rhythms. What would scare me the most would actually be . . . if I’m going to play it in fiont of someone. Is this actually 139 going to sound good, or am I going to mess it up so bad that it doesn’t even sound like anything.” (Matthew, Focus Group #2). Assessment Matthew was quite good at detecting note mistakes, along with problems related to dynamics. Once he identified the mistakes, he was usually able to make quick corrections and move on. On a number of occasions, he seemed to ignore note mistakes and not fix them. When these occurred, he would miss a note and quickly flip his fingers to get the right note to come out and then continue. These little bobbles happened most often as he practiced his scales. Matthew also seemed to ignore a number of problems with his articulation. In a number of instances, he had an excessive delay between the attack of a note and the sounding of the note, causing him to wait for the note to speak which then displaced the pulse. It is difficult to accurately discern the reasons for his choice to ignore these problems, since he could not give me an answer when I asked. There does seem to be two viable possibilities though. First, Matthew may have simply felt that the mistakes be ignored were simple things that he usually plays correctly and therefore he does not need to work on them. Second, he may have chosen to ignore the articulation problems because he had no ability to diagnose the causes of the problem or no strategy to use to fix it. Though rhythm was Matthew’s first priority as he practiced, he was unable to detect multiple problems with rhythm, pulse, and meter. Between our first and second session, Matthew received extra help with his honor band audition music from Ms. 140 Zingennan. During this session she spent a large amount of time helping him learn to play the rhythms correctly. This experience seemed to help him understand that he should focus more on rhythm, since after this he often stated that he was attending to rhythm as he played. This extra attention did not seem to help. I still recorded many instances in which he did not seem to recognize that his pulse was undetectable, he was playing in the wrong meter, or he misplayed a wrong rhythm. Even melodic sections in his music that he could play relatively accurately lacked a firm sense of beat. In one particular instance as we reviewed the video of his practice, I asked if he noticed a mistake he had made. Matthew’s reply was, “Yes. I went down to the mezzo forte and I kept the crescendo all the way going to the end.” (Matthew, Retrospective Report #3). Aside from the dynamic mistake, Matthew had played a completely wrong rhythm. When I showed the mistake to him, he said, “Yeah. I might be a little bit off.” (Matthew, Retrospective Report #2). This inability to detect rhythmic errors may be due to a lack of rhythm aptitude or to a lack of attention to rhythm due to his focus on dynamics. He claimed that he was more able to detect mistakes of this sort when the band played with him, similar to Amy’s strategy of hearing the band in her head as she played. An assessment of Matthew’s rhythmic aptitude may shed light on his thinking, but this is beyond the scope of this study. Strategies Ms. Zingennan’s assessment that Matthew most likely plays through his music was quite accurate. Matthew’s most common practice strategy was to correct mistakes 141 “on the go,” because he believed that, “if you make a mistake, keep going.” (Matthew, Concurrent Report #1). Matthew also demonstrated the use of slowing the tempo of exercises he played and of repetition in his practice, but he seems to have a misunderstanding of the effective use of both techniques. In order to develop a sense of automaticity in one’s performance, multiple repetitions are required to begin creating the necessary neural pathways. Sanders (2004) and Caine (2005) also emphasize the need to learn the same skills in a variety of ways, in this case by slowing the tempo. Though Matthew mentioned repeating things multiple times during our interviews, he would only repeat sections one time correctly before moving on and slow the tempo only in the difficult spots of his music during his practice. In the third practice session, he repeated some spots three times in a row before moving on. I asked him why this was the first time I had seen him do it. He replied, “Well, I'm starting to do more of it now. But for it to get my fullest attention on it, I would probably have to screw up pretty badly on it.” (Matthew, Retrospective Report #3). Matthew also demonstrated some non-playing activities that helped his practice. Again, he mentioned the value of hearing the band play in his head while he practiced. He was also good at noticing when he might transfer past information to inappropriate situations, saying, “It's also a little bit more difficult during songs, because some similar rhythms might be a little different even though they look very similar, you might get tripped up.” (Matthew, Concurrent Report #3). Finally, he said that he counted rhythms, once saying, “Count your part carefully if it's one of the few parts in the piece,” but be 142 did not do this out loud, and it seemed there was not enough time for him to have done it in his head (Matthew, Concurrent Report #1). Motivation Matthew is a highly motivated young man who is motivated extrinsically and intrinsically. He has a strong drive to do well in school and therefore completes his practice assignments religiously. He seems to have the stereotypical ego approach personality. Ms. Zingerrnan felt that Matthew does not learn his parts quickly in band, but he works hard at it. He mentioned a number of times that he liked to play hard music because, “it's probably better to make mistakes on the extremely hard piece you have instead of on the easier piece that you might have gotten.” (Focus Group #1). Matthew is also motivated to play music outside of his assigned band repertoire. He has multiple books at home of pop and movie tunes that he plays, “either for fun or I'm actually trying to learn it to perform for someone else and have them go, ‘hey that sounds really cool. Can you play that again?” (Focus Group #1). He was also excited about the opportunities to play in marching band and jazz band. During one practice session, he played the Theme fi-om the Godfather out of one of his books. He liked to play the piece because, “I heard this song at a really, really big marching band festival I was watching on TV. It was really good. They were marching all across the field. They even did the puppet hang and the dagger through the heart. That was sweet. I wanted to figure out how I could play this.” (Matthew, Retrospective Report #3). Matthew also enjoys playing with an accompaniment. Because he was unable to play with the band at home when he practices, he mentioned multiple times that he likes 143 to play with the cd’s that accompany the books he bought. When in passing I told him about the Smart Music© program, he said, “we don‘t have internet at my house, so I can't really do it. But it would probably help out a lot. I‘d probably be doing those pieces almost every day.” (Matthew, Retrospective Report #2). Summgy Matthew was a go-getter who enjoyed a challenge. Though he had some innate ability and a strong desire to succeed, some of the decisions he made in his practice seemed to hamper his progress. Because he did not set clear tangible practice goals, he often tried to focus on ‘everything’ and was consequently unable to properly assess his progress or choose appropriate practice strategies. He seemed to realize that he needed to focus on his rhythm as he played, but was unable to detect his mistakes and either chose not to use or had no strategies that would help him with his problem. For Matthew, having an aural image of the music he played seemed to be critical as it helped him to have a target to shoot for, gave him a model to assess progress against and a tool to use as an aid in leaming. Sarah Relatively short and petite, Sarah has a great deal of ability. Sarah played flute in the eighth grade band, but had significant prior experience playing piano and taking dance lessons before picking up the flute. She also began taking flute lessons as a seventh grader. Her sister is also an accomplished flute player in the local high school band and has served as a model. According to Ms. Zingerman, Sarah is, “Self motivated, as far as 144 learning on her own. She comes into class totally ready for pretty much anything we have to do. She’s probably the closest of any of them to having an idea of how to practice anyway. . . . She takes lessons. The best I can tell, the teacher’s pretty good.” (Ms. Zingerrnan Interview). Sarah was easily the best musician in the group of participants for this study. Hamman and Frost (2000) found that students who study privately tend to be more goal oriented, practice longer, smarter, and more efficiently. They also establish goals and maximize time in shorter, though on task, segments. This, in many ways, seemed to be the case with Sarah. Ms Like all of the students in this study, Sarah did not set specific, proximal, appropriately challenging goals as described by Schunk (2001), though she was able to specify broad areas that needed work and choose appropriate elements of performance to focus on. She was also the only student in this study who consciously chose the music she would work on prior to beginning practice. Sarah had a loose routine she followed in her practice. She began by playing a Bb major scale because, “it’s so automatic. And I don’t do it for the notes. I do it for warming my flute and lips up.” (Focus Group #2). Next she played the two octave scales assigned by her private teacher and then began practicing her assigned etudes and solos. Sarah hardly ever played her band music. This was because her performance level was sufficiently high that she could sight read the majority of their music. In her third practice 145 session, Sarah did practice her part in the Vaughan Williams Folk Song Suite that Ms. Zingerman passed out as the band’s challenge piece for the year. Sarah chose to work on her music in stages. She felt her first priority with new songs was to focus on the notes and rhythm, saying, “When I'm first learning it, notes take up like all of it. And rhythm. When I'm just sight reading it, that's all I'm thinking about.” (Sarah, Retrospective Report #2). Once she felt comfortable with this basic level of performance, she would focus on the other aspects of playing, such as articulation and dynamics. It seemed that she continually focused on her tone. She said that her teacher constantly worked with her on developing a full sound. Assessment Sarah’s ability to assess herself was much more effective than her peers and this allowed her to make some decisions related to remediation. She was able to consistently detect mistakes in all aspects of her technique, and was especially aware of fluctuations in her tone, possibly due to the special emphasis given to tone by her private teacher. Though Sarah only had a little more than two years experience on flute, she had played piano since she was seven. This extra amount of time making music may have helped her to develop a stronger aural schema than the other students (Hallam, 2001). I detected an inconsistent pulse only for one brief time in her practice. She also had a good feel for meter, although she did not seem to have a solid cognitive understanding of the concept when I asked her about it. Sarah was also able to detect mistakes within major and minor keys, showing that she understood the harmonic context of both modalities. 146 Sarah was also aware of many of her tendencies in her playing. She often mentioned tonal and rhythmic errors that she consistently made, and therefore had a heightened sensitivity to the detection of these errors when she made them. This development of prior knowledge enabled Sarah to detect mistakes that she could not have detected in the past. Because of her knowledge of her tendencies, Sarah also developed an understanding of some of their causes. This, then, helped her ability to diagnose the mistakes she made. For example, Sarah had difficulty playing in the correct partial in the upper half of her Bb major scale during her warm-up. As we reviewed the tape, she said, “I think I just have to get warmed—up. Because when I first play the scale it happens a lot.” (Sarah, Retrospective Report #1 ). Later in this interview she again discussed issues with her tone saying, I think it's more of a safety thing. If 1 ’m playing something and I don 't want to mess it up, then 1 pinch it of because I know it '11 come out. It won 't sound very good, but 1 know it will come out and not go half and half low and high. Because that’s just bad So, I think I do that just to make sure it works. But it doesn 't sound very good. So that's what I should work on Sarah’s assessment of when she was ready to move on from the music she practiced seemed to be based on cognitive understanding rather than her kinesthetic ability. In other words, Sarah felt confident that her fingers knew the music when her brain understood what to do, not realizing that motor skills often require more repetition in order to develop automaticity. According to Sarah, “Well, I think - since I'm not 147 memorizing this or anything - If I can read it, and know what it's supposed to be, then I can play it. And I think I'll be able to play it next time.” (Sarah, Retrospective Report #2). This seemed to result in mistakes that consistently happened each time she played particular fingering patterns both as they reappeared in the music and as I observed her in the following weeks. As I observed Sarah during her third practice session, I noticed a peculiar pattern that may merit further study. It seemed that Sarah’s mistakes consistently happened at the beginning of phrases. For example, Sarah began playing an etude that she had been working on for approximately three weeks. She played through the first phrase relatively fluidly with only slight finger bobbles and then began the second phrase, making a mistake in the first measure tlmt caused her to stop. She then began the second phrase and played through it in the same manner as the first, only to make a major mistake at the beginning of the third phrase. This pattem continued throughout the whole piece. It seems that this pattern of making mistakes at the beginnings of major events ran parallel to the pattern I noticed in Steven and Amy as they needed to stop at the beginning of each measure to regroup. Perhaps Sarah’s pattern of mistakes is a more advanced version of the less experienced students, in that Sarah is able to take in larger chunks of information than the others, yet still needs to process transitions before she can move on. Strategies Sarah’s repertoire of practice strategies seemed to be significantly larger than the other five students, especially in working with tone production. Once again, as with the other participants, she consistently repeated spots in her music only one time before 148 moving on. According to Sarah, “I don't have a set strategy of how many times I play it or anything. I'm not that organized.” (Sarah, Retrospective Report #2). Sarah seemed to own practice strategy precepts as opposed to concepts. She naturally used repetition, adj ustrnent of tempo, analysis, and isolation of problems without consciously knowing what she was doing. When I would ask her what strategies she used at various times, she simply said “I don’t know” or gave me a confused look. Many of these strategies were undoubtedly learned from Ms. Zingennan or one of her private teachers, but only through example, not by explicit instruction. Therefore, she was often unable to describe the strategies she used. Sarah, like each of the participants, lacked an understanding of how the mind and body learns. Therefore, she did not understand the motor skill principles that guide repetition or the cognitive learning principles that support the concept of learning pieces in chunks. When asked her teachers taught her to practice her etudes by learning a small chunk each day and reviewing past chunks as opposed to daily playing through the whole piece, she said, “Well, they probably have, but I don't usually do it. Because I don't think it really works well.” (Sarah, Retrospective Report #2). Magill (1998) describes the three stage, Pitts and Posner model of learning motor skills in which the learner passes through cognitive and associative stages before arriving in an autonomous stage, in which the learner develops a level of automaticity. As I observed the process in her learning, it seemed that Sarah proceeded through these stages in her own development. As she practiced the upper range in her chromatic scale, she began to play the top three notes deliberately. When I asked her what she was thinking as she played, she replied, “Really on the lower register and stuff that I play every day, just 149 the note name. And for some of it even the - within the staff - I'm usually not even thinking about it. . . But when it gets up higher, then I have to think about the notes and the fingers.” (Sarah, Retrospective Report #3). With her piano experience and private lessons on both piano and flute, Sarah has developed a sizable knowledge base to draw from. She uses this knowledge to varying degrees of effect in her practice. When asked if she recognized scale passages and applied her ability to play the scale to the music, she said, “Well, no. I mean like I know basically it's in a range of stuff and (sings a stepwise pattern). But I don't think, "Oh there's a G scale." (Sarah, Retrospective Report #2). She also stated that she recognizes formal structure in the same way, in which she notices similarities but does not consciously label sections as same and different. Motivation I don 't want to go and play a piece that's too easy, because then it feels like you're not good enough. You know? If you get a hard piece and you end up at the recital and you play it fine and you play it right, you feel like you accomplished something. I feel good. So then. . . it makes me feel determined to do it. (Focus Group #2). Sarah enjoys a challenge and is motivated when presented with one. Because she is not challenged by her band music, she apologetically stated that she hardly ever practiced it She stated, “Private lesson stuff always comes first. Because that’s what I need to improve on most because it’s probably the hardest.” (Focus Group #2). 150 Through her challenge, she can see her grth as a musician. This learning goal orientation seemed to help her persevere and spend longer amounts of focused time on each exercise she practiced. This was apparent as she consistently worked on fewer pieces in each 20 minute practice session than any other participant. Also, because she could identify progress rather than general success or failure in performing her music, she seemed more able to deal with mistakes and fnrstration. When she repeatedly made the same mistake, she simply stopped, regrouped, laughed at herself, and tried again. Sarah was also motivated by preparation for performances and admitted that she practices the music she will perform more carefully than etudes or other music that will not be performed. She explained her position, saying, “I’m not saying it’s a good thing, but if you’re not performing it, then you don’t have to practice it as much. I don’t.” (Focus Group #2). It seems that, because of her learning orientation, Sarah is able to focus on improvement without worrying too much about the social consequences of her performance. She was able to express her thoughts saying, “If you practice it and you know it, then even if you do mess up, who cares? I mean I don’t want to mess up, but I’m not going to be totally upset if I do.” (Focus Group #2). Summgry Sarah was a strong eighth grade flutist with a wide musical background. Still, as a fourteen year old middle school student, she lacked some of the knowledge and metacognitive development that older students have. She was not sequentially taught how to set specific goals, but naturally had a way of understanding what aspects of her music 151 needed to be focused on. She was accurate in her detection of mistakes and had a small repertoire of strategies at her disposal to help her fix problems with all aspects of her playing. Finally, Sarah’s focus on learning and her high self-efficacy allowed her to see progress even when she did not reach her goals, allowing her to easily deal with any frustrations that may occur. Summary All six participants in this study have their own unique methods, beliefs and motivations that influence their personal practice, yet they have many things in common. First, none of the students were able to set specific, proximal, and appropriately challenging goals, and only Sarah, and Matthew to a lesser extent, seemed to be able to break their vague goals down into remedial steps. At the same time, the students’ were often unable to accurately assess themselves, which made it difficult for them to make further goals. Furthermore, they generally had a small collection of practice tools which were used with varying degrees of success. Finally, student motivation seemed to be dependent upon their goal orientation. Amy and Mandy seemed to have a strong avoidance orientation that resulted in less effort, perseverance, time on task, and deliberate practice than their peers. Sarah seemed to be strongly learning oriented, leading to more of these factors as well as slightly more specific goals. The participants displayed different levels of music reading abilities. The seventh grade students seemed to be at an emergent reading level in which they were unable to fluently play long phrases. Instead, they seemed to be able to decode their music in a measure by measure manner. Matthew seemed to be slightly further along in his reading, 152 but still was unable to fluently play long portions of his music, while Sarah was able to play much more fluently than the rest. Each of the participants mentioned that they needed to have an aural image of the music they were playing in order for them to play it well. It seemed that they needed this aural image for rhythm more than for other musical elements. The tone of the seventh grade students may also have been attenuated by a lack of an aural image of a characteristic tone for their instruments. The students were influenced by Ms. Zingerrnan and their private teachers in a number of ways. Daily assignments and regular playing tests helped give students direction in what to practice. Verbal feedback and feedback from test score sheets provided helpful assessment. Teacher modeling of practice strategies facilitated the development of personal practice strategies, and assignments provided external motivation to practice. By analyzing commonalities among the students in depth, it may be possible to discern more implications for teachers in the field. This analysis and further discussion, interpretations and implications will be provided in chapters five, six and seven. 153 CHAPTER 5 COMMONALITIES: CROSS-CASE ANALYSIS The process of practicing a musical instrument is a distinctively individualized activity that is affected by one’s clarity, aptitude, prior knowledge, technical skill and personality. The students in this study each approached their practice with a unique set of skills, traits, and understandings resulting in differences in their practice. Though their practice was not the same, there are a number of commonalities among the participants that could be analyzed to illuminate the self-regulating process of novice instrumentalists. In this chapter, I will present a cross-case analysis of the six participants, examining four emergent themes and highlighting the similarities as well as some key differences I found across the six individual cases. These four themes — goal setting, self- assessment, strategies, and motivation — were analyzed using the constant-comparative method defined by Creswell as the process of “taking information from data collection and comparing it to emerging categories” (Creswell, 1998, p. 57). Three of the themes — goal setting, self-assessment, and strategies —were external to the data, based upon the initial research questions, while motivation emerged from the data. This analysis will be supported with a number of examples taken from the analysis of video recordings of the practice sessions and of the comments made by the students and their teacher. In total, I collected 18 practice sessions that were each roughly 20 minutes in length, along with 18 Retrospective Reports that were 20 to 30 minutes in length. I also collected data from two focus group interviews and from an interview with Ms. Zingerrnan. 154 Goal Setting Goal setting is an integral component of selflregulation. Setting goals is a generic strategy that can be applied in various domains. Eflective goal setting requires that people set a long-term goal, break it into short-term, attainable sub-goals, monitor progress and assess capabilities, adjust the strategy and goal as needed, and set a new goal when the present one is attained This multi-step plan is a key to promoting healthier human functioning, higher motivation and perceived self-efficacy, and self- regulated learning and performance across the life span (Schunk, 2001). I aggregated a total of 45 goal oriented code possibilities from the data and winnowed these into a list of 18 secondary codes. From this list of codes, three categories of codes emerged relating to the ways in which the students dealt with goals in their practice. These categories include the types of goals students set, choices they make regarding what they play, and the conflict between playing to pass the time and playing for improvement. Types of Goals Students Set Typical student responses regarding their views of goal setting can be seen in the following excerpts from retrospective verbal report sessions: Mandy Retrospective Report #1: Oare Now you are looking around for something to play. Did you have a goal in mind here? 155 Mandy Oare Mandy Oare Nick Oare Scott Oare Amy I don ’t think so. Just play through it? Yeah. Nick Retrospective Report #1: Did you have a goal for this? Any specific spot you wanted to clean up? Not really. Just this part right here a lot. Measure 1 9. Scott Retrospective Report #1: Why did you pick Bells of Freedom? Because it was in my folder, and it was there. So, I played it. Amy Retrospective Report #2: As you were doing this, did you have any goals in mind? Pretty much, just get what I can done. The ability to set specific, proximal, appropriately challenging goals is a key component of self-regulation (Schunk, 2001). As seen by the previous excerpts, the students in this study set few, if any, goals that conformed to Schunk’s criteria. Generally speaking, when the students did set goals, they tended to be vague, lacking specificity, clear criteria, or a plan of attainment Their general plan of attack seemed to be to choose 156 something to play, find mistakes as they play through them, and fix them as they practiced. Once students identified mistakes, they were more able to set goals. Sarah emphasized this concept of “on the go” remedial goal setting by saying, “When I practice, I sometimes mess up somewhere and say, ‘oh, I want to get this done.’ But before, I don‘t say I want to get these 6 measures done. It's actually after I practice that I think, ‘Oh that was good. I got that one part done.’ I think I did accomplish a goal, but didn't set it.” (Focus Group #1). What They Play The first thing one must do to create a specific practice goal is to choose something to practice. Codes that related to the goal setting of all six participants centered on the music that the students decided to play and these decisions were based on four factors: routine, challenge, concert preparation, and enjoyment. Routine All six of the students exhibited some form of routine in their practice that consisted of scale work, work on teacher-assigned material, and, often, performance of music based on student choice. In my analysis I also noticed a glaring omission in all of the students’ routines. No practice sessions started with a deliberate focus on tone quality. There were no long tones played by any student in any of the eighteen practice sessions for the purpose of developing tone and only the two eighth grade students mentioned that they listened to and adjusted their tone during their initial scale exercises. Not one of the 157 seventh grade students deliberately focused upon improving his or her tone quality during their warm-up. This lack of focus could be attributed to a lack of an aural image of a characteristic tone for their instruments. Because students have not listened to a large amount of instrumental music in their past, they may not have heard enough examples of characteristic tone to have developed an aural goal for how their tone should sound. Ms. Zingennan continually tries to add to the students’ aural image through a daily listening activity at the beginning of each class. Sarah, the student with the most characteristic tone on her particular instrument, has an older sister who is also a good flute player. Therefore, Sarah has continually heard a model of a more developed tone than hers since before she started playing flute. All of the students except Amy mentioned doing something in the form of a warm-up, but none of the students seemed to have a clear and complete understanding of the purpose for a warm-up. Scott described the purpose of a warm-up as, “to get ready to play. Like, mostly get my lips ready and to get rhythms into my head that I might be using.” Nick described it saying, “It’ll get your instrument warm and your notes set.” Mandy said, “It gets your mouth warmed up. Because, depending on what your instrument is, you have to have a different embouchure.” (Focus Group #2). The students have been given daily direction in warm-ups. Ms. Zingerrnan has a consistent warm-up routine and has her bands begin the day playing various scales in whole notes. She acknowledged that her students often seem to not focus on the purpose of the exercise and said, “I occasionally stop and say, ‘hey guys, what were you thinking about when we were doing that? How many of you were on automatic pilot? Raise your 158 hand. Alright, let’s do that again, and really think about your tone, and changing notes at 9” the same time. (Ms. Zingennan interview). The purpose of developing tone through long tone exercises as part of warm-ups seems to have been missed by the students. The effective practice of scales is important in the motor learning of novice instrumentalists, because this activity helps students develop general motor programs that can then be transferred to music of the same key (Sanders, 2004). The students in this study played through various scales as part of their practice in 17 of the 18 practice sessions I videotaped. Upon further comparison of the cases, it became apparent that the students chose to play their scales for slightly different purposes. Matthew, the student Ms. Zingerman called a “scale fiend,” played eleven different scales in his first practice session in order to be prepared for the final scale test at the end of the year. Scott and Sarah played scales at the beginning of each practice session because that was what they were taught to do. Amy stated that she had no idea why she was supposed to play scales, but she played them because she was supposed to. Nick played scales that were to be assessed in class and he played other scales seemingly as a way to pass away the time, as did Amy. Mandy practice the fewest amount of scales. The scales she played were the first two scales introduced in her book (Bb and Eb major) and the chromatic scale that was soon to be tested by Ms. Zingennan. A second consistent piece of each student’s practice routine included playing through material assigned by either Ms. Zingerrnan or their private teacher. The students are given a “daily assignment” to prepare for the next class. According to Ms. Zingerman, “I’ll tell them which line we’re going to do out of the book, and they can pretty much guarantee we’re going to do the scale (for that key) too. And usually what 159 I’ll do with the concert pieces we’re working on, I’ll assign them a chunk of it and say that’s what they’re supposed to work on.” (Ms. Zingennan interview). These daily assignments occurred consistently and the students were given instruction regarding what they should focus on as they practice. According to Ms. Zingerrnan, “if I see something that might trip them up, I’ll point it out.” The three students who take private instrumental instruction also practiced music assigned them by their private teacher. Sarah does not practice her band music because it is easy for her. Instead, at the beginning of each practice session, she took out her “private lessons notebook” that included her weekly assignments and the concepts to focus on with each assignment. Her assignments consistently include scale work, etudes, and solos. Mandy’s teacher assigned lines from her band book and a solo that she played for a solo and ensemble festival. Challenge Once the students played through their scales and assignments, their choices of what to practice became more varied. One common factor in their choice of what to play was the desire to be challenged to an appropriate degree. Each student seemed to search for music that fit within their personal comfort level, similar to the concept of flow as explained by Csikszentrnihalyi (Csikszentmihalyi, 1991). This comfort level was Lmique for each student. While Nick stated that he relishes a challenge, Mandy said, “I don't want to do something that’s super easy, but I don’t want to do something that's super hard.” Amy wanted little challenge, declaring that she wanted to play, “something I can do.” Sarah stated, “I don’t want to play a hard piece and play it bad But I’d rather play an 160 OK piece that might be a challenge for me, but I can still play it well. I don’t want to do bad at it. But I don’t want to play an easy piece” (Focus Group #1). The students found their challenges in a number of ways. Nick and Matthew were each involved with the challenge of auditioning for a regional middle school honor band and were involved in practicing audition music during their first two practice sessions. Sarah was consistently challenged through the assignments given to her by her private teacher, as she practiced an etude from a high school level method book and a Baroque sonata. Scott found his challenge in composition. Matthew also practiced from a book of pop solos and the Rubank Concert and Contest Collection. Mandy and Amy, the two weakest musicians, seemed to find sufficient challenge in the music from their band book. Amy stated that she had a book of Disney songs, but she had never used it. Mandy also played solos that were assigned by her private instructor, but she would not practice them in our sessions. Csikszentrnihalyi’s flow theory describes the consequences of working with material that is not at the optimal challenge level (Csikszentmihalyi, 1991). Performing overly easy tasks often causes boredom and a lack of effort, while performing overly difficult tasks often causes fi'ustration and the tendency to quit. On numerous occasions, both Mandy and Amy physically showed signs of frustration with the music they were attempting to play, and many times, they quit practicing their music and moved on to another task, saying things such as, “Never mind. I'll practice that later,” (Amy, Concurrent Report #2). Nick felt that the music in the book was too easy for him and that, “these pieces are too easy. And. . . I don't know. . . it's like —They're too easy and I'm getting sloppy with them. That's probably why I'm making mistakes. I need harder music. 161 . . . Because you get kind of sloppy. Well I do. I get kind of sloppy. . (Nick Reflective Interview #3). Concert Preparation The students made many of their choices based upon various performances that were on the horizon. In all but one instance, I witnessed examples of students practicing the assignment that was due for the next rehearsal, the material that was to be tested, concert music, or music that was to be performed as a solo. Scott’s last practice session did not focus on performance. Instead, he spent the whole time (aside fi'om the gratuitous Bb major warm-up) playing through the trombone and tuba parts of his composition. Ms. Zingerrnan regularly assigns playing tests in her band classes that are either lines selected from the students’ band book or scales and scale patterns. It seems that one of her purposes for these tests is to assess how well students can learn music on their own, because she purposely does not work on the test music in class, though she does help them by focusing their attention on items that may “trip them up.” All of the students but Sarah spent some portion of their three practice sessions preparing for an upcoming test. Once again, though, they were unable to specifically explain what section of the test or what aspect of playing they planned to improve in their practice. Ms. Zingerrnan uses a “feedback sheet” as a way to inform the students of their strengths and weaknesses after they take their tests. This sheet has space for comments as well as numbers of specific comments for each instrument that she can simply check if it applies to the student’s performance. This feedback then implies goals for students on their futrue tests. Though Scott has been given this feedback, he seems to have not clone 162 much with it. According to Ms. Zingerrnan, he “is inconsistent. He does not keep his air moving. And he gets that comment back on every feedback sheet.” (Ms. Zingerrnan Interview). All of the participants also regularly practiced solo music or band music in preparation for a concert. Without exception, this practice consisted of simply starting at the beginning of the piece and playing through to the end Scott even counted all the way through multiple eight measure rests during his practice of a band piece. While their purpose was to improve their performance of the music, none of the students was able to identify a specific spot in the music that they wanted to improve or describe remedial goals that would help them reach the larger goal of performing the music accurately. When asked, the students commonly stated that they had no goal as they practiced their songs. Matthew provided the closest goal for a concert piece, saying, “Here I’m working on overall key and style to make sure it sounds like it’s supposed to and make the harmony parts sound like harmony and that I don’t try to take them over.” (Matthew, Concurrent Report #2). Enjoyment Balanced with a desire for a challenge was a desire to play songs the students enjoyed. These were generally the songs that they already knew and felt like they could be successful at performing. This choice of ‘frm’ music could be explained in a number of ways. For Mandy and Amy, the choice of fun music was often an avoidance strategy. They chose easier pieces in order to obtain success. Matthew, on the other hand, chose to play something fun as a way to give himself a break. This is in line with Ericsson et al., 163 who state that the process of deliberate practice requires an immense amount of concentration that novice musicians can only sustain for short amounts of time (Ericsson etaL,1993) Time vs. Improvement To the students in this study, it seems that the key unspoken goal in their practice is to put in the expected time on their instrument. This unspoken goal was actually affirmed by Nick as he declared that his practice goal was, “to play for a half an hour” (Focus Group #1). Because a portion of their grade was based on the time they recorded on their practice sheets, this was a necessary goal, even though the students all recognized that the purpose of practice was to improve their skills. This emphasis on time in the students’ practice may have an effect upon their focus on improvement. When quantity is the factor being measured, the students were not focused on improving quality in their practice. Therefore, improvement oriented goals were not emphasized. Instead, it became apparent that practice could simply become synonymous with playing through music. Quantity of time became equivalent to the quantity of music one “plowed through” in a sitting. This is exemplified by the majority of practice sessions in which students spent an average of less than two minutes on each piece they practiced. Students were more focused on playing through their music than on improving certain sections. Students commonly stated that they were going to “do” or “play” a certain song or exercise rather than “work on” or “study” their music. Consequently, students began practicing every one of their pieces from the beginning. At no time did a 164 student begin their practice of a song or exercise by first addressing an issue in the middle of a piece. Priorities Generally speaking, the students in this study seldom talked about goals. Student responses to my questions probes about their goals were either, “I don’t know,” or “I don’t have a goal.” As I probed further, I found that the students have not been overtly taught about goal setting in any of their classes at school. Though they had no conscious goals as described by Schunk (2001), they were often able to tell me what element of performance upon which they were focusing. During the first Retrospective Reports, I asked each student to prioritize the amount of emphasis that they tended to give to rhythm, tone, notes, articulation, dynamics & style. Then, as we progressed, I continued to ask what they were focusing on in their verbal report sessions. The responses I received from the initial question were quite varied. Sarah and Amy felt that they put more thought into playing the right notes than on anything else, while Mandy and Nick felt they put the least thought into notes. Scott, Mandy and Matthew felt they put more thought into rhythms while Nick said he paid most of his attention to dynamics. Sarah rated tone as her third priority while the rest of the participants placed tone in fifth or sixth place. Through the analysis of the student’s verbal report comments, it seems that student priorities are much more similar than originally reported. In essence, all of the students gave top priority to rhythm and notes followed by articulation and dynamics. 165 Tone and style consistently were given the least emphasis. Amy, Scott, and Mandy paid little attention to any elements aside from notes and rhythms, while Nick also focused on dynamics. Only the two eighth grade participants spent a significant amount of effort on all six elements, suggesting that the ability to focus at a higher level may be related to development. Sarah, the most accomplished musician of the cohort, also spent by far the most effort attending to her tone quality. The seventh grade participants spent little time focused on tone even though a great deal of the troubles they encountered could be attributed to unsteady tone quality. The importance of developing a steady, controlled tone was emphasized by Ms. Zingennan as she stated, “But tone is always there. Even from the beginning . . . I don’t really address it unless there’s a problem. I mean if they’re playing with a good tone, I don’t say, ‘let’s think about tone.’ But if there’s something that’s annoying me, I’m going to make them stop!” (Ms. Z Interview). Assessment I analyzed a total of 936 instances related to assessment fi'om 61 different codes. I then winnowed these into a list of 22 secondary codes. From this list of codes, five categories of codes emerged relating to the ways in which the students used assessment in their practice. These categories include: student evaluation vs. assessment, teacher influence, detection (and non-detection) of mistakes, diagnosis of cause, and deciding when something is learned well enough. 166 Eyaigzition vs. Assessment The purpose of assessment is to provide specific, usable feedback to inform teaching. Good assessments should delineate a target, provide feedback regarding where a student is in relation to a target, and help students close the gap between target and reality (Stiggins, 2001). Evaluations are designed to place value on performance, rank, and sort and do not necessarily provide the feedback required to inform future learning. In short, assessments and evaluations are not synonymous. At times, the participants in this study evaluated their performance rather than assessed it. A total of 40 instances coded as evaluation revealed comments such as “that was good,” or “I’m not very good at it,” most of which were made by the seventh grade students. These general, value-laden comments were given rather than comments related to a specific dimension that needed work or was done well. These comments in turn did little to help students set goals to address their performance. Instead, the students set vague goals or set no goals at all. lgcher Influence According to Stiggins (2001), well designed assessments include clear targets with defined dimensions of performance, appropriate assessment strategies, student involvement, and effective feedback. Through the use of her feedback sheet, Ms. Zingennan provided an effective source of information for the students. Students were provided with feedback regarding their performance after each playing test. Students were then able to refer back to this sheet during their future practice in preparation for the next tests. 167 When asked what mistakes he tends to not catch, Nick replied, “rhythm, dynamics. Stuff Ms. Zingerrnan catches,” emphasizing his need for supervision in his self-assessment. The students often used Ms. Zingerrnan or another more experienced person to help them detect mistakes. Also, Scott often practiced near father and mentioned that he would often detect Scott’s mistakes and help him fix them. Mandy mentioned that her brother often helped her catch mistakes when she practiced at home. Detection (and Non-Detection) of Mista_l_