PLACE IN RETURN BOX to remove this checkou! from your tecord. TO AVOID FINES return on or before date due. = DATEJDIJE ‘ DATE DUE DATE DUE .. firm. /‘ I. 130 Q. T ,7 "WE iii ‘ FEB 91 £000 #— MSU Is An Affirmative ActiorVEqual Opportunity Institution CASE STUDIES IN CONCEPTUAL CHANGE: THE INFLUENCE OF PRECONCEPTIONS AND ASPECTS OF THE TASK ENVIRONMENT by Gerald W. Lott A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY College of Education 1988 ABSTRACT CASE STUDIES IN CONCEPTUAL CHANGE: THE INFLUENCE OF PRECONCEPTIONS AND ASPECTS OF THE TASK ENVIRONMENT By Gerald w. Lott The motivation for this study is reflected in the growing concerns that much current instruction in science is not working in a fundamental sense. Students learning scientific concepts experience different patterns of conceptual development, resulting in qualitatively different conceptions. Many students do not seem to develop a functional understanding of the science concepts which they study. Prior studies have focused upon the ‘static’ views of student conceptions (i.e., student conceptions at a point in time, prior to and following instruction), and have not examined the ‘dynamics’ of conceptual change over time. The key contribution of this study has been the design and implementation of a unique data collection system and techniques for data analysis which give a researcher the capability to explore the dynamics of conceptual change. In an effort to see if this methodology could be used to describe the parameters and patterns of conceptual change, a study was conducted aimed at gaining insights into the problems students have in learning scientific concepts. An important feature of this study was the combined use of a group administered instrument, classroom observation and clinical interviews to gather data for constructing representations of student conceptions. This study utilized a population of 22 fifth grade children, four of whom were selected, based upon their unique and interesting pre-instruction conceptual frameworks, for more intensive study (e.g., focused observation and clinical interviews). The group administered instrument utilized a multiple-choice instrument intended to provide information necessary to “model mental (e.g., cognitive) structures”, a process referred to in this study as psychomodeling. The observation of actual instruction provided a detailed representation of the milieu in which instruction occurred and assisted in the determination of those experiences which may have influenced the identified changes. Clinical interviews were used, as an in-depth method, to provide a controlled situational context in an effort to infer conceptual framework (i.e., for ascertaining cognitive structure) as well as follow it through the learning experiences. A two phased data analysis process was aimed at organizing the data base for the effective translation of relevant observational and quantitative information into interpretable patterns. The purpose of the Phase I analyses was to identify the major changes that occurred in students’ conceptions, the period of time during which they occurred, and the specific segment of instruction during which students encountered information directly related to the change. Initially, the changes identified in Phase I were noted for each of the four target students. However, based on the voluminous amounts of data collected during twelve hours of observation over a period of ten weeks, only one student was selected for comprehensive analysis. Thus, this was a case study of an individual student’s attempt to make sense of encounters with physical phenomena during a sequence of learning experiences concerning photosynthesis. The results of the Phase I analyses were then used to guide the Phase II analyses where the transcripts of clinical interviews and relevant portions of lessons were used as primary data sources. The results provided an organizing framework which assisted in the description of important classroom, teacher, and student characteristics which could be used to describe relevant patterns and reveal the dynamics of conceptual change over time. The results of this study demonstrated that the system for data collection and methods for analysis developed for this research effort were capable of revealing the patterns necessary to investigate the dynamics of conceptual change. It has provided insights concerning the nature of conceptual change and the reasons for the difficulties encountered in teaching for conceptual change. The findings which evolved from the use of this comprehensive methodology suggest that matching instruction to the conceptual ecology of the students is both essential and difficult. The instructional materials must provide the teacher with not only an adequate strategy for promoting conceptual change, but also an understanding of the purpose of each specific learning activity. In addition, the importance and characteristics of misconceptions should be explored along with the development of improved patterns of planning and classroom teaching strategies (e.g., discussion skills) which enable the teacher to recognize student misconceptions from the responses they offer and to initiate strategies which will influence change. © by Gerald W. Lott 1988 DEDICATION To my children Jessica Dawn and Benjamin Matthew for whom I embarked upon the road to this achievement, and for whom I hope the sacrifices were not too great, and to my mother Madeline E. Lott who did not see me complete the task. ACKNOWLEDGEMENTS The writer wishes to thank the members of my Doctoral Committee: Dr. Glenn D. Berkheimer, Chairman of the Committee and Professor of Science Education, and Dr. Edward L. Smith, Dissertation Director and Associate Professor of Science Education. Also, Dr. Robert Floden, As- sociate Professor of Education, and Dr. Joseph Hanna, Professor of Philosophy. The assistance, guidance, and encouragement they provided during the writing of this dissertation is greatly appreciated. The writer would also like to thank Janet E. Stoakes, who has been a signif- icant influence upon my life in recent years, for providing support and en- couragement in the completion of the final tasks in fullfillment of the de- gree requirements. Appreciation must also be expressed for the efforts of Beverly Ratta, the writers’ former wife, who gave of herself to support the quest during the initial efforts. Among those one encounters in life and the relationship grows into friendship, a few leave a lasting impression. Three individuals who have been important in my life and in this effort are acknowledged here: Lucy Slinger and Nancy Landes (each providing encouragement and support while we shared our time at Michigan State, and whose friendship in times of trial provided inspiration), and Dr. Leon Schiffman, Professor of Marketing at Baruch College - CUNY whose encouragement and insights have been invaluable and whose fi'iendship will always be a part of my life. The writer is also grateful to Dr. Paul Scipione, Professor of Marketing and Advertising at Montclair State College for his assistance with the final production of this dissertation. Among those who provided their services in the support of the completion of this study the author would like to thank the teacher who provided the instructional environment for observation, and Dean Roth who assisted the author in transfering his working papers and lesson transcripts from a Tandy microcomputer system to an Apple II"' system. The writer would also like to acknowledge Donna Aughey Ely of DAE Associates whose support during the final effort provided the necessary environment to complete the task. In addition, the access provided by Lohmeyer Simpson Communications to a Macintosh II for the production of an earlier draft of this document is greatly appreciated. TABLE OF CONTENTS 1. Problem Overview ......................................................................... 1 Problem Statement .................................................................. 2 Study Overview ........................................................................ 3 Purpose .................................................................................. 7 Descriptive ....................................................................... 7 Questions ......................................................................... 7 Assumptions and Limitations ................................................... 8 Case Studies and Generalizability ....................................... 8 Inferring Cognitive Structure ............................................ 12 Case Studies of Conceptual Change .................................... 13 Implications for Curriculum and Teaching ............................... 16 2. Research Foundation ....................... ' ............................................. 18 Research Review ..................................................................... 18 Children’s Conceptions ..................................................... 18 Student Misconceptions ..................................................... 23 Conceptual Change .............................................. ‘ ............. 3 Research Paradigm ................................................................. 33 Epistemological Foundations ............................................. 34 The Nature of Knowledge ............................................ 34 Conceptual Change .................................................... 36 Cognitive Systems and Information ............................. 2E Inferential Reasoning ................................................ 41 Methodological Foundation ................................................ 44 Research on Teaching ................................................ 45 Generalizability ......................................................... 48 Theoretical Foundation ............................................................ 48 Information-processing........................................ ............. 48 Conceptual Change ........................................................... 51 Teaching-Learning Process ............................................... 53 Parallels And Principles .......................................................... 54 3. Procedures .................................................................................. 57 Data Collection ........................................................................ 57 Context ............................................................................ 57 Instructional Unit ...................................................... 57 Classroom ................................................................. 64 Subjects .................................................................... 65 Teacher .................................................................... 65 viii Context (continued) School and Community ............................................... 65 Design ............................................................................. 65 Data Collection Techniques ................................................ 66 Psychomodeling Instrument ....................................... 66 Observation ............................................................... 67 Clinical Interviews .................................................... 71 Data Analysis ......................................................................... 72 Phase I Analysis .............................................................. 73 Student Conceptions ................................................... 73 Psychomodeling .................................................. 73 Clinical Interview ............................................... 76 Frame Matrix ..................................................... 77 Identification of Changes ..................................... 77 Instruction ................................................................ 80 Segmentation ...................................................... 80 Propositional Content .......................................... 80 Identification of Relevant Instructional Segments ........................................................... 80 Phase II Analysis ............................................................. 81 Selection of Conceptual Changes .................................. 81 Clinical Interview Transcript Analysis ........................ 85 Instructional Transcript Analysis ............................... 85 4. Results ........................................................................................ 88 Conceptual Changes ................................................................ 90 Experience of Instruction ......................................................... 92 Case 1: Ben’s Understanding of Seed Part Functions ............ 93 Preconceptions .......................................................... 93 Ben’s Experience of Instruction ................................... 95 Postconceptions ......................................................... 1(1) Patterns of Change Reflected in Group Data .................. 102 Case 2: Ben’s Concept of Plants and Light ........................... 104 Preconceptions .......................................................... 104 Ben’s Experience of Instruction ................................... 107 Postconceptions ......................................................... 113 Patterns of Change Reflected in Group Data .................. 116 Case 3: Ben’s Interpretation of Photosynthesis .................... 119 Preconceptions .......................................................... 119 Ben’s Experience of Instruction ................................... 121 Postconceptions ......................................................... 128 Patterns of Change Reflected in Group Data .................. 131 Key Non-Changes ............................................................. 131 Ben’s Naive Theories .................................................. 134 Model of Conceptual Change ....................................... 135 Ben’s Conceptual Evolution ......................................... 140 Conceptual Tenacity ................................................... 143 ix 4. Results (continued) Issues Revealed in Case Studies ................................................ 148 Students and Experienced Instruction ................................ 148 Observations and Encountered Ideas ............................ 148 Propositional Links .................................................... 153 Preconceptions and Experienced Content ...................... 153 Persistence of Preconceptions ...................................... 157 Teacher’s Moves and Their Effects ...................................... 159 Observational Encounters ........................................... 159 Teacher Directedness and Task Interpretation .............. 163 Ambiguity ................................................................. 171 5. Conclusions ................................................................................. 176 Discussion .............................................................................. 177 Preconceptions ................................................................. 178 Ben’s Conceptual Change .................................................. 179 Communication Difficulties ............................................... 180 Exposing Event ................................................................. 181 Concept Application .......................................................... 181 Questioning Patterns ........................................................ 182 Implications ........................................................................... 183 Curriculum ..................................................................... 184 Teacher Education................ ............................................ 185 Educational Research ....................................................... 186 Appendices A. Organization and Propositional Knowledge of Chapters 3-6 ..... 187 B. Psychomodeling Instrument ................................................ 212 C. Data Collection Forms ......................................................... 220 D. Propositional Frames for SCIIS Producers Unit Analysis ....... 223 E. Propositional Frames Affirmed During Instruction ................ 230 F. Propositional Frames Affirmed by Ben .................................. 235 List of References ............................................................................. 241 LIST OF TABLES 1. Summary of the Strategy for Chapters 3-6 of SCIIS Communities ...... 59 2. Alternative Conceptions Concerning Food for Plants ........................ 108 3. Lesson 5.5 Discussion Concerning Chlorophyll ................................ 151 4. Task 5 of Lesson 6.7 Discussion ...................................................... 174 xi LIST OF FIGURES 1. Procedure for Inferring Conceptual Change .................................. 6 2. Inferring Cognitive Structure ....................................................... 14 3. Conceptual Network Structure ...................................................... 21 4. Example of Propositional Network Structure .................................. 74 5. Diagram of Phase I Analysis Process ............................................ 75 6. Inferential Bridge to Cognitive Structure Representation ................. 87 7. Seed Part Function Preconception Map'.... ...................................... 94 8. Seed Part Function Postconception Map ......................................... 101 9. Alternative Views of the Function of the Cotyledon .......................... 105 10. Ben’s Plants and Light Preconception Map ..................................... 106 11. Pre-Lesson 5.5 Plants and Light Conception Map ............................ 110 12. Post-Lesson 5.5 Plants and Light Conception Map ........................... 112 13. Plants and Light Postconception Map ............................................ 115 14. Alternative Explanations of Plant Growth in the Dark ..................... 117 15. Alternative Views of Plants Need for Light ..................................... 118 16. Plants and Food Preconception Map .............................................. 120 17. Intermediate Plants and Food Concept Map ................................... 125 18. Post-Instruction Concept Map ....................................................... 130 19. Alternative Views of How Plants Get Food ...................................... 132 xii LIST OF FIGURES (continued) 20. Alternative Views of Light and Plants Making Food ........................ 133 21. Ben’s Anticipated Post-Instruction Concept Map ............................ 138 22. Knowledge Asserted by Ben Concerning Frames K, M and O ........... 144 23. Ben’s Conceptual Change ............................................................ 146 xiii «s 4%... s /.. m. WWW Wm- nub. _«..___. _ CHAPTER 1 PROBLEM OVERVIEW Students learning science concepts experience different patterns of conceptual development, resulting in qualitatively different conceptions. Many students do not seem to develop a functional understanding of the science concepts which they study. The view that preinstructional knowledge will persist despite instruction has been supported by research in physical science instruction (Champagne, Klopfer, and Anderson, 1980; Gunstone and White, 1981; Leboutet-Barrell, 1976; McCloskey, Caramazza, and Green, 1980; Terry, Jones, and Hurford, 1985; Trowbridge and McDermott, 1980), and more recently by research in biological science instruction (Roth, Smith, and Anderson, 1983). Any effort to determine the factors which account for the differentiated degrees of cognitive competence should involve a study of the changes in students’ conceptual frameworks as they learn scientific concepts (Berkheimer, 1978; Brown, 1982). This chapter is intended to provide a statement of the problem, an overview of the study, the objectives, the assumptions and limitations which guided its design and conduct, and the potential value for curriculum and teaching. This research was conducted with support from the National Institute of Education under Grant No. NIE-G-81-0094. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author and do not necessarily reflect the views of the National Institute of Education. W The motivation for this study is reflected in the growing concerns that much current instruction in science is not working in a fundamental sense. That is, many students develop inaccurate conceptual frameworks as the result of their instructional encounters. Clement (1982) found that only thirty percent of the students enrolled in engineering had an under- standing of Newton’s laws following a two semester sequence in physics. Champagne, Klopfer, and Gunstone (1982) have argued that “the influence of the students’ conceptions is to inhibit their understanding or distort their observations and interpretations of experiments.” The naive conceptions which the student brings to the educational setting prior to instruction has an inhibiting effect on learning. There have been many studies which have described the naive conceptions that students hold and the tendency for such conceptions to persist despite instruction. A few studies have examined in detail the in- struction which apparently fails to bring about the intended learning. Eaton, Anderson, and Smith (1984) suggest, as the result of the Planning and Teaching Intermediate Science Study, that students have difficulty learning because their misconceptions are not adequately dealt with during instruction. Realizing the influence of misconceptions brought by students to the educational setting, Minstrell (1984) implemented an instructional strategy which took into account common student misconceptions. This was found to result in a significant improvement in learning. However, these and other studies have focused upon the ‘static’ views of student conceptions (i.e., student conceptions at a point in time, prior to and following instruction), and have not examined the ‘dynamics’ of con- ceptual change over time. In addition, research has taken a global view of conceptual change (i.e., classes of students) rather than exploring changes on the part of an individual. It is believed that the process of conceptual change is directly related to the actual educational process occurring at a given time and must be seen in that context. Conceptual change involves a change in the concep- tual framework of the student through the action of internal mental capa- bilities during involvement in learning tasks. Moreover, Posner, Strike, Hewson, and Gertzog (1982) suggest that “whenever the learner encounters a new phenomenon, he must rely on his current concepts to organize his investigation.” Thus, there is a need to look at the changes which actually do occur and attempt to identify the factors which may account for them. While there has been a growing awareness of the problem and relevant theoretical developments, there is a need for studies of actual changes by an individual and the instruction which influenced them (Driver and Erickson, 1983). The key contribution of this study has been the design and imple- mentation of a unique data collection system and techniques for data anal- ysis which give a researcher the capability to explore the dynamics of conceptual change. In an effort to see if this methodology could be used to describe the parameters and patterns of conceptual change, a study was conducted aimed at gaining insights into the problems students have in learning scientific concepts. W The unit selected to provide the context within which this study examined conceptual change was the 5th grade unit entitled “Producers” of SCIIS Communities as revised by Smith, Anderson, and Berkheimer (1981). Thus, this was a study of the cognitive structure and organization of complex scientific knowledge concerning photosynthesis and its change in structure during learning experiences. The unique aspect of this study is that it uses an integrated qualitative and quantitative research design which includes the intensive analysis of classroom interaction, the combi- nation of group and individual analysis, and a focus on the instructional experiences of individual students. An important feature of the methodology used for this study was the combined use of a group administered instrument, classroom observation and clinical interviews to gather data for constructing representations of student conceptions. This study utilized a population of 22 fifth grade children, four of whom were selected, based upon their unique and inter- esting pre-instruction conceptual frameworks, for more intensive study (e.g., focused observation and clinical interviews). The group administered instrument utilized a multiple-choice in- strument intended to provide information necessary to ‘model mental (e.g., cognitive) structures,’ a process referred to in this study as psychomodeling. Moreover, there is the use of an intensive analysis of ac— tual instruction including both verbal and nonverbal aspects of individual student's instructional experience. This observation of actual instruction provided a detailed representation of the milieu in which instruction oc- curred and assisted in the determination of those experiences which may have influenced the identified changes. Clinical interviews were used to provide a controlled situational context in an effort to infer conceptual framework as well as follow it through the learning experiences. The approach involved the identification of changes in a student’s in- ferred conceptual framework in an effort to develop an understanding of conceptual change. This was accomplished through the use of psychomodeling, observational, and clinical interview methods to collect data necessary to formulate sequential representations of a conceptual framework, which could then in turn be used to examine the patterns of conceptual change. A schematic representation of this procedure is shown in Figure 1. The curricular unit provided the task environment for observations, the focal point for clinical interviews, and the propositional knowledge for psychomodeling instrumentation. A two phased data analysis process was aimed at organizing the data base for the effective translation of relevant observational and quantitative information into interpretable patterns. The purpose of the Phase I anal- ysis was to identify the major changes that occurred in students’ conceptions, the period of time during which they occurred, and the specific segment of instruction during which students encountered information directly related to the change. Initially, the changes indentified in Phase I were noted for each of the four target students. However, based on the voluminous amounts of data collected during twelve hours of observation over a period of ten weeks, only one student was selected for comprehensive analysis. Thus, this was a case study of an individual student’s attempt to make sense of encounters with physical phenomena during a sequence of learning experiences con- cerning photosynthesis. The results of the Phase I analysis was then used to guide the Phase II analysis where the transcripts of clinical interviews and relevant por- tions of lessons were used as primary data sources. The results provided an organizing framework which assisted in the description of 35.558 manage 3398.89 2: :93? 555 E355 05 .3 53 1358.39— 2» 339$ 53 :oBmEomnc 868330 685 .3 carom a .83 coboufi as manage xHoBoEwé 33328 .3 89%an 338239 698:0 3390250 marksman pom oasvooosm A grab Eon—Fan:— mam—3.25.5»?— mo 3.825 356.5 33m 8 33m 59¢ v foBoEEm m fazofiaum « 38323.5 $398.80 133350 $533.80 33m . Sm 35m m 33m 3 52.. a 33 3 89¢ 3% 3% 3% go 3525 033.3 we 3:035 .3 8 535 023.5 3.30.5 , 3,223:— =33:an Ll a 3.5305,»; 13.3850 353 5?... important classroom, teacher and student characteristics which could be used to describe relevant patterns and reveal the dynamics of conceptual change over time. Bums D . I. As a descriptive study the intent of this research was to investigate the empirical nature of conceptual change. The patterns and parameters thus exposed can be used along with the current theoretical foundations of conceptual change (see Driver and Easley, 1978; Hewson, 1981; Nussbaum and Novick, 1982; Posner, Strike, Hewson, and Gertzog, 1982; and Toulmin, 1972) to formulate issues for further research, as well as recommendations for curriculum development and teacher education based upon the charac- teristics of student conceptions and the nature of conceptual change. The study was descriptive and aimed primarily at generating hypotheses. Moreover, the purpose of the study was to describe the parameters and patterns of conceptual change in an effort to gain insight into the problems students have in learning abstract concepts. This was an exploratory study aimed at developing the foundation for research studies of the process by which individuals “come to know,” or to understand the world. Discovering patterns of conceptual change will provide the nec- essary framework from which an explanation of the process of conceptual change can be sought through additional research efforts. Questions This research opens new territory with its effort to follow the changes in these pre-conceptions during the student involvement in a science-ori- ented task environment. The question of interest in this study is: 0 What are the patterns and regularities in instances where students change their preconceptions toward more scientific ones having greater complexity and generality? In an effort to resolve this question the following points have been explored: ' How do students respond to incongruities between their preconcep- tions and the scientific content they encounter? What changes occur in students’ conceptions as they experience instruction? How do students’ preconceptions influence their interpretation of in- structional content? What features of instruction influence the occurrence and direction of changes in students’ conceptions? The effort to resolve these questions has involved the application of tech- niques from cognitive science to the exploration of phenomena in a science education setting. 5 I. I I . 'I |° The theoretical framework which guided the design and conduct of this research represents a set of assumptions of which the reader should be aware. These assumptions concern the nature of case studies and the generalizability of the results, as well as the process for inferring cognitive structure. The inherent limitations are two-fold; they concern what this research is a case(s) of and what it is not a case(s) of. Q SI 1' l G 1' I TI The improvement of the teaching and learning process can be facili- tated by seeking, through the application of creative imagination, a less limited perspective of the classroom environment and the actions which occur within it. Through previous research efforts (Nussbaum and N ovick, 1982; Sendelbach, 1980; Smith and Anderson, 1983) it has been documented that by observing the classroom situation it is possible to find patterns which lead to greater insights concerning the relationships which influ- ence learning. A guiding assumption of this research is that behavior results from the interaction of innate information processing capacities and learning experiences. The key benefit of the case study approach is that it provides a deep understanding of classroom phenomena which results in a general- izability based upon the increased ability to make distinctions and recognize parallelism in experiences; what Stake (1978) refers to as “naturalistic generalizability.” The goal of this form of research is to impose some order on the perceptions of what is happening. and through these efforts increase the explanatory power of the descriptions of classroom occurrences. This view of generalizability ensues from the supposition that, as the principle means of the evolution of knowledge, the notion of theory ap- praisal which employs the premises of the reduction of uncertainty or hy- pothesis testing does not adequately model our search for reality. The ar- gument for this view revolves around the belief that reality is far too rich and varied to be adequately reflected in a logical theory of probability involv- ing the degree of confirmation. Hanna (1980) submits that the intent of inferential inquiry is to discover evidence and formulate theories which increase our information about natural or sociological phenomena. This increase of information content results in a conceptual framework which is less limited in its ability to describe and explain phenomena as a result of insights which lead to the identification of more comprehensive patterns which support more restrictive distinctions. 10 Thus, the important factor in the growth of knowledge through inferential reasoning is the information content of our representation of the world. The generalizability of this research can be found in the growth of knowledge which it generates. As Geertz (1983) has argued: The move of social theory toward seeing social action as configuring meaning and conveying it, ..., opens up a range of possibilities for explaining why we do the things we do in the way that we do them far wider than that offered by the pulls and pushes imagery of more standard views. (p. 233) Since the conveying of meaning through information exchange is an important aspect of all cognitive systems we will reject the support paradigm and focus our attention on the meaning discerned from observa- tions as the parameter of interest for appraising scientific theories. The generalizability of social science research is viewed to come from the use of its observations to falsify theories as opposed to the traditional methodology of trying to arrive at theories on the basis of an inductive inference from observations. The conduct of this research recognizes that showing a theory to be false is immensely more effective in the appraisal of theories. Moreover, there is a recognition that the principal approach to increasing the validity of case study results is by triangulation in an effort to substantiate the per- ceived constancy of the observed phenomena. Triangulation will occur, in terms of this case study, across multiple studies as other researchers ex- amine the issues of conceptual change manifest in the data. Campbell (1975), as part of a discussion concerning degrees of freedom in qualitative research, argues that there are “great gains in understanding which such multiple ethnographer studies would introduce” (p. 190). This study will, 11 in triangulation with the results of other studies, enhance our understand- ing of how changes in children’s concepts are influenced by their experiences. Thus, a case study can be considered valid if it gives a well-grounded and useful representation of the case in a specific setting which lends itself to comparative analysis. The more alternatives a semantic representation admits of, the more probable it is; while the more alternatives a semantic representation excludes, the more informative it is. This view of the research process which has provided a framework within which to conduct this study, while accepting the value of internal indices which provide convergent evidence, seeks a more enlightening perspective and argues that the assessment of generalizability goes beyond the analysis of one case study. Miles and Huberman (1984) argue in their treatise on qualitative data analysis that support for case study findings is accumulated “by showing that independent measures (e.g., other case studies) of it agree with it or, at least, don't contradict it” (p. 234). Especially in the instance of case studies, it is most appropriate to be- gin with the formulation of descriptive theories before one attempts to de- velop theories with predictive, or explanatory power. It is therefore more appropriate to look at particular research data from case studies as having a measure of descriptive power when considering its generalizability. Those who conduct qualitative (i.e., naturalistic) research approach the search for universals differently than do those who conduct positivist research on teaching. Ethnographic research is based upon several as- sumptions regarding the educational process. First among these is that an important source of explanation for classroom phenomena is the social context in which teaching and learning occur. The members of the ob- served situation are regarded as knowledgeable beings whose behavior is purposeful and meaningful in this context. It is important to note that the types of thought processes exhibited in classrooms appear to be very depen- dent upon the nature of the cognitive task focused upon. Thus, this re- search will take into consideration the importance of the environmental factors influencing instruction, and the process of social interaction. Naturalistic researchers, in their quest to interpret their experiences and seek insights for improving the teaching-learning process, are more cautious in their assumptions than are those who apply the positivistic paradigm to the study of teaching (Lott, 1981b). Given these assumptions about the state of nature in social life that interpretive researchers make, they pursue insights which may transcend the site of the research. Concrete universals are arrived at by studying a specific case in great detail and then comparing it with other cases studied in equally great detail. Erickson (1986) argues that “the primary concern of interpretive re- search is particularizability, rather than generalizability” (p. 130). This view of the focus of research rests upon the belief that the goal of qualitative analysis is to reveal the multiple layers of universality. The task is to dis- cover what is broadly universal, what generalizes to other similar situations, what is unique to the given situation. Each instance of a class- room is seen as its own unique system, which nonetheless displays univer- sal properties of teaching. I fl . Q . | . SI I It is becoming generally accepted that understanding of classroom teaching and its effects on learning requires going beyond the description of observable behavior to the investigation of the meanings and antecedents of that behavior (Clark and Yinger, 1978). The learners are viewed as having certain prior knowledge, attitudes, and abilities which influence and are influenced by, classroom instruction resulting in particular learning out- comes for each student. ' The relation between observed responses and claims about cognitive structure guided the process for inferring cognitive structure. It is thought that conceptual change is influenced by the context within which it occurs, thus a representation of the context will be attempted utilizing observational data to provide a description of the classroom milieu and the context of instruction. A student's conceptual framework will be inferred from data obtained as students explain scientific phenomena and develop and test hypotheses (see Figure 2). Observed task performance was viewed as resulting from an application of an individual's knowledge and thus as providing a basis for inferences about the underlying knowledge. In keeping with contemporary cognitive psychology, as well as Piagetian views, we believe that learning involves an interaction between a student's prior knowledge and his or her current experience. This view suggests that it is important to know what the students’ prior knowledge is and that students may end up with quite different knowledge as a result of apparently similar experiences. Thus, it is important to characterize students’ knowledge, and not just quantify it. The approach used in this study was to develop models of student knowledge. Wage There were no instances of major conceptual changes to analyze. Rather there were several small changes (i.e., “conceptual capture” (Hewson, 1981)) and non-changes. The reason this is enlightening about the nature of conceptual change will be explained. 14 observed phenomena and behavior FIGURE 2. Situational Context Conceptual Framework Explanation Sentence Inferring Cognitive Structure. (Using the explanation of phenomena and the representation of the situational context you can infer the conceptual framework for the student who gave the explanation.) 15 This is a case study of an individual student’s attempt to make sense of encounters with physical phenomena during a sequence of learning ex- periences concerning photosynthesis. Representations of the subject’s con- ceptual framework were used to reveal the dynamics over time. In an effort to expose relevant patterns and regularities within the sequence of learning experiences the actual instruction was observed so as to determine experi- ences which may have influenced the selected changes. A major concern in the research is the effect of the instruction on student knowledge. In particular there was an interest in the extent to which students' knowledge comes to match that which the program mate- rials identify as potential learning outcomes. This research can be viewed as attempting to describe and account for the patterns of student knowledge that result from instruction. Seeing rather than measuring was the activity of this project. The interest was to seek representations of experience which could be used to illustrate issues of conceptual change. These issues were the central foci; guiding the analysis, organizing the understanding. This research was experience-oriented; what principally we hoped to see was not something to hold a ruler to. It consisted of intensive field observations and interviews as a means of recording differing images and meanings. The naturalistic orientation focused attention more to images and meanings than to proper- ties and measurements; as such they were to form the conceptual structure for the work. The goal of this effort is to provide a knowledge base for addressing the problems identified through improved teacher education as well as curriculum development and revision. 16 I l. |° E Q . l l I l . Reid (1978) has argued that research is needed to enable us to com- prehend the nature of disciplinary knowledge, learners, teaching, and mi- lieus such that this understanding can be infused into curriculum plan- ning for schools. He contends that curricular decisions are concerned with what should be done and thus entail a value component which necessitates the justification through an ideational foundation. Through an under- standing of the conceptual change process a determination can be made regarding how to address given goals or conceptual frameworks as part of the instructional sequence. Analyzing the paths of conceptual change can lead to an under- standing of the relationships between concept formation and the task envi- ronment which the students encounter in the classroom. The task envi- ronment is a concept which has been elaborated on by Newell and Simon (1972), and refers to an environment which is goal-oriented in the sense that there exists a task or problem to be encountered. The tasks (i.e., problems) which are of interest in this study involve student participation in experimental set-ups and corresponding key questions which were in- tended to guide the observation and interpretation of phenomena during a sequence of learning experiences concerning photosynthesis. The importance of this relationship can be perceived in the lack of homogeneity in conceptions, as well as the existence of certain naive conceptions, prior to instruction. Individuals have different conceptions of subject matter and apprehend curricular tasks in various ways. It is therefore in the interest of curricular improvement that systematic re- search on the nature of conceptual change should be embarked upon through carefully designed studies of human intellectual functioning. The 17 synthesis of such research can provide a framework within which curric- ular decisions can be articulated. Since an important goal of science instruction is the modification of students’ conceptions of natural and physical phenomena, it is important to understand the nature of such changes and the conditions under which they are most likely to occur. A study of the changes in students’ concep- tual frameworks as they learn scientific concepts can help to determine the factors that account for this variation. It is through an understanding of the process of conceptual change that appropriate learning experiences can be provided in an effort to support or enhance the development of conceptual frameworks. Through an attempt to determine the conditions which lead to and facilitate a successful conceptual change a theory of conceptual change may evolve. CHAPTER 2 RESEARCH FOUNDATION This chapter will review the previous research which provides back- ground for this study, and the theoretical and methodological assumptions which guided the research. The previous research which is examined in- cludes that concerned with children’s conceptions, their misconceptions, and the growing knowledge base concerned with conceptual change in the educational setting. Theoretical assumptions are then identified in an ef- fort to reveal the epistomological and methodological foundation for the study. W This section deals with the extent to which this research builds upon previous research. This will involve an examination of current and past research efforts concerning children’s conceptions, student’s misconceptions, and conceptual change. The narrative will describe the way in which these studies have contributed ideas and direction to this study. Moreover, the section will provide an indication of the extent to which the study moves the field ahead in some significant manner. Cl .1 l , Q |' Prior to the work of such science educators as Gunstone and White (1981), Leboutet-Barrell (1976), Nussbaum and Novak (1976), Rowell and Dawson (1977), Viennot (1980) and Pines, et. al. (1978), much of the research on science learning utilized the assessment of the ‘amount’ known by stu- dents as represented by scores on norm or criterion-referenced tests. The specific knowledge an individual has, or the alternative conceptions that individual may use to interpret experience, have not been a focus of most previous research efforts. The interest in student learning outcomes has been on the results and not the patterns of conceptual change. In order to determine the patterns and parameters of conceptual change, an approach is necessary for inferring student conceptions. The research by Smith (1980b) was aimed at developing methods for assessing and modeling students’ knowledge of a given topic. The interest has been to determine the effect of instruction upon student conceptions through the process of investigating their match with the potential learning outcomes as identified by the program materials. The reliability of this ap- proach in the development of psychomodeling instrumentation was investi- gated (Caldwell, 1980). Methods for the assessment and modeling of student knowledge for a given topic were applied through the development and utilization of a mul- tiple choice instrument for the “Oxygen-Carbon Dioxide Cycle” Unit of SCIS Ecosystems (Smith,1980b). The analysis of this unit for a prior study (Sendelbach, 1980) resulted in the identification of a set of propositions which the students should encounter through participation in the sug- gested activities. A subset of the propositions identified in the analysis were selected and used in the development of multiple choice items for the test which was intended to provide data relevant to declarative propositional knowledge. The techniques for quantitatively analyzing student responses were then formulated and applied (Smith, 1980a). The development of the psychomodeling instrument was guided by a cognitive view of knowledge in which two kinds of knowledge are distinguished; propositional and procedural (Greeno, 1976), and their rela- tion to student cognitive performance. An idividual’s knowledge is viewed as consisting of integrated sets of propositions and procedures. The conception of propositional knowledge with which this research effort has dealt is that of interrelated statements having a truth value represented by conceptual networks (see Figure 3). A conceptual network is a representa- tion of knowledge in which concepts are nodes connected by labeled, directional relations. Such a network provides a means by which the inter- relations among propositions can be represented. An important aspect of this developmental task (i.e., the formulation of a psychomodeling instrument) is the segmentation of the instructional unit in such detail that the propositional knowledge addressed can be used to develop items. Lucas and McConkie (1980) have encouraged this kind of an approach and have indicated that “the passage to which questions are to be related be segmented into units of sufficient detail for the user’s needs, with each unit numbered for referential purposes” (p. 134). The research by Lott (1980) indicated that more than the use of a psy- chomodeling instrument was needed to follow conceptual change. If a dy- namic process such as conceptual change is to be descriptively investigated then the representations provided by the psychomodeling instrumentation must be supplemented. Sutton (1980) has argued that “any useful concep- tualization of how a learner’s thought is organized must include some pic- ture of its dynamics as well as its statics” (p. 107). However, in order to have adequate data upon which to attempt to study patterns of conceptual change during student involvement within the task environment, one must be able to infer the conceptual framework between those points in time when an instrument is administered. Gn:cn:ss D 389‘“ K PHOTO- GRODUCER% SYNTHESIS input m£ OXYGEN fi) AND CARBON C LIGHT ] (WATER ) (DIOXIZOEm ) from location location _ PHYSICAL ENVIRONMENT [ SUN j output input GROANISM9¢ RESPIRATION agent k isa C PROCESS ) FIGURE 3. Conceptual Network Structure. (A means by which know- ledge structures are represented by a labeled, connected network consisting of nodes interconnected by relations. Each relation indicates an association between two nodes, with the interpretation depending both on the label and on the direction in which the relation is traversed.) In an effort to accommodate this need, the utilization of clinical in- terviews was included in the research design of this study. This approach has the potential for revealing a student’s conceptual framework through the method of eliciting verbal explanations of scientific phenomena and thus providing an avenue through which a descriptive assessment of a student’s conceptual framework can be formulated. Posner and Gertzog (1979) have suggested that the aim of the clinical interview is: to ascertain the nature and extent of an individual’s knowl- edge about a particular domain by identifying the relevant con- ceptions he or she holds and the perceived relationships among those conceptions (p. 2). The clinical interview involves the use of a technique which provides the necessary data for the assessment of student conceptions. This approach to the study of student’s conceptions has been used by Pines, Novak, Posner and VanKirk (1978) and Posner and Gertzog (1979) in science education, and has been used by Erlwanger (1974) and Confrey (1980) in mathematics education. However, these studies have only been concerned with the ‘statics’ of student’s conceptions, or if interested in con- ceptual change have only utilized undergraduate students as subjects. This study will utilize the clinical interview technique with intermediate school students in an effort to describe the patterns of conceptual change. The observation of the context of classroom instruction will build upon the ethnographic research of Sendelbach (1980), the developmental work of Hollon, Anderson and Smith (1981), and the experiences of the Planning and Teaching Intermediate Science Study (smith & Anderson, 1984). SI 1 | M. |' Recent reported research on student misconceptions in science and mathematics established that students generally possess conceptions about curricular topics before they begin to study them (Helm & Novak, 1983). Further, such preconceptions often persist despite instruction on scientific theories that contradict them. Discrepancies between the students’ post-in- struction conceptions and the scientific theories taught often represent im- portant failures of instruction. The research suggests that preconceptions actively compete with scientific alternatives as organizing structures for students’ experience of instruction and as explanations for their everyday experience. Champagne, Klopfer and Gunstone (1982) point out in a review of the literature that physics learning studies demonstrate that students’ pre-in- structional world knowledge is ofizen logically antagonistic to the principles of Newtonian mechanics taught in introductory physics. They suggest that students have descriptive and explanatory systems for scientific phenom- ena that develop before they experience formal study of the subject. These descriptive and explanatory systems differ in significant ways from those the students are expected to learn as the result of formal study. Case studies in mathematics conducted by Erlwanger (1974) suggeSt that each child developes a conception which appears to function as a rela- tively stable, cohesive system of interrelated ideas, beliefs and views about mathematics. Discussions with the children revealed. conceptions that were unanticipated and different from an adult view of mathematics. Driver and Erickson (1983) argue that students may develop conceptual structures as a result of instruction and other experiences which can be internally consistent and quite elaborate, but which do not necessarily relate to actual phenomena. Cognitive science research has begun to yield research findings which reveal the misconceptions of students in varied subject matters. McCloskey, Caramazza and Green (1980) found that many students who have completed one or more physics courses fail to understand the most fundamental principles of mechanics. Their findings revealed that stu- dents do not merely lack such knowledge; they espouse “laws of motion” that are at variance with formal physical laws. They argued that little con- sideration has been given to the possibility that knowledge representations may frequently be at variance with physical reality. In another study, Doran (1972) investigated the occurrence of common misconceptions related to the kinetic theory of matter by 7-12 year old pupils. Za’rour (1975) in his study of science misconceptions among high school and university students in Lebanon isolated twenty common misconceptions in the areas of physics, earth science, chemistry and biology. In addition to research which has attempted to describe student mis- conceptions there is evidence that these alternative conceptions are re- sistant to change. A study by Leboutet-Barrell (1976) indicates that high school and college students have misconceptions about force and motion which persist despite instruction. Moreover, these misconceptions were described as pre-Galilean. Champagne, Klopfer and Anderson (1980) found these effects of resistance to change particularly striking in the context of mechanics where prior to formal instruction young people and adults were found to have a conception of motion that is more Aristotelian than Newtonian. Other research findings by Gunstone and White (1981) showed that remnants of the Aristotelian conception persist with many “successful” physics students. Children’s underlying conceptions (referred to as “alternative frameworks” by Nussbaum and Novick (1982), “naive theories” by Eaton, Anderson and Smith (1984), and “misconceptions” by Anderson and Smith (1984)) have been found to influence their observable behavior. The case studies conducted by Erlwanger (1974) suggest that as children learn they develop their own conceptions of mathematics that influence their mathe- matical behavior and subsequent learning. Moreover, he reported that the teachers often misunderstood and misjudged the nature of the children’s understanding and progress, and the adequacy of their learning experiences. Champagne, Klopfer and Gunstone (1982) also contend that prior knowledge affects students’ comprehension of science instruction. Students interpret instructional events (e.g., experiments and expository text) in the context of the conceptual scheme they currently hold, not the one that the experiments or the text are designed to convey. It is not the stu- dents’ lack of prior knowledge which makes the learning of this topic so difficult, rather their conflicting knowledge. Based upon the research which they have reviewed, Driver and Erickson (1983) argue that there is now growing interest in the notion that students do possess “invented ideas” based upon their interpretations of sensory impressions. Moreover, these “invented ideas” influence the ways in which they respond to and understand the disciplinary knowledge as presented in the classroom. In laying out a generative learning model, Osborne and Wittrock (1983) also argue that students “invent a model or explanation” which serves to organize the information obtained from an experiment or demonstration. Considerable research has been done to identify student misconceptions. In a study of the mole concept, Duncan and J ohnstone (1973) analysed the difficulties of 14-15 year old pupils who were following the Scottish alternative 0 grade syllabus in chemistry. They reported three areas of difficulty. J ohnstone, MacDonald and Webb (197 7), in a study with 16-18 years old chemistry students where they studied the misconceptions related to concepts in thermodynamics, reported that the results indicated 8 major misconceptions. In a study of high school and university students, Lebouter (1976) indentified commonly held misconceptions related to ideas of force and motion which persist despite instruction. The variety of misconceptions and their persistence have been ex- plored more thoroughly by Viennot (1974) who analysed attempts at solving dynamics problems by university physics students. The results indicate that certain pre-Galilean ideas persist. An earlier study by Kuethe (1963) found a class of questions about common astronomical or physical phe- nomena to which secondary school pupils, in spite of instruction in the sciences, gave a ready reply but often answered incorrectly. Brumby (197 9) found that O-Level students in England persist in holding a Lamarckian conception of evolution despite a Darwinian instructional approach. Camamazza (1981) has reported that one third of a group of introductory college physics students persisted in misconceptions about the trajectory of objects emerging from a circular track, despite formal instruction in Newtonian mechanics. Norman and Clement (1981) have shown that many university students tenaciously cling to misconceptions about the na- ture of electric circuits. The results of these and other studies indicate that traditional in- struction does not facilitate an appropriate reconciliation of preinstruc- tional knowledge with the content of instruction. Alternative conceptual systems are remarkably resistant to change by exposure to traditional in- structional methods. Moreover, there appears to be evidence (Champagne, Klopfer and Gunstone, 1982; diSessa, 1982; Nussbaum and Novick, 1982; Siegler and Klahr, 1982) that these alternative conceptual systems are not facilitative to the learning process; they may actually inhibit conceptual change. Often the influence of the students’ conceptions is to inhibit their un- derstanding or distort their observations and interpretations of experiments. Other research (Champagne, Klopfer and Anderson, 1980) demonstrates that the belief in the proposition is not readily changed by instruction, the prior knowledge having an inhibiting effect on learning. One important factor that may account for students’ learning difficulties then, is the reluctance, or perhaps inability, of students to alter their pre- sent commitments in favour of the school-sanctioned interpretation. Diagnosing a pupil’s misconceptions appropriately is but the first step toward helping the pupil to replace his persistant preconceptions with the scientific conceptions. Nussbaum (1980) suggests that while there is a need to diagnose pupils’ answers for possibly existing misconceptions, many difficulties encountered by students in comprehending and internal- izing certain concepts would be avoided if teachers were better prepared to listen to their pupils, understand the nature of their misconceptions and, in turn, make constructive use of this knowledge on the pupil’s behalf. Andersson (1980) has argued that discussions and experiments can in- crease the pupils’ awareness of inconsistencies in their ways of reasoning and contribute to an attitude of searching for invariants and principles be- yond what is specific. Rowell and Dawson (1977) also explicitly considered common mis- conceptions when designing instruction concerned with floating and sink- ing bodies. Their findings indicate that despite efforts to refute misconcep- tions in instruction, some misconceptions persisted. In a study by Driver (197 3), it was found that although alternative theoretical frameworks to ex- plain observations were introduced to the students and used during the instruction, the counter-examples and conflicting evidence did not produce changes in students’ thinking. As the results of these studies suggest, the use of counter examples may not be sufficient in itself to produce change in pupils’ underlying conceptualizations. _ The studies reported here are an indication of the existence of a problem; pupils develop misconceptions which can persist despite instruction. However, the development of a taxonomy of such misconcep- tions does not yield interpretive power. Not until the reasons for the mis- conceptions are understood will progress be made in instructional terms. McCloskey, Caramazza and Green (1980) have argued that educators in the sciences should not treat students as merely lacking the correct information. Instead, educators should take into account the fact that many students have strong preconceptions and misconceptions. When a student’s naive beliefs are not addressed, instruction may only serve to pro- vide the student with new terminology for expressing his erroneous beliefs. W The existence and persistence of students preconceptions implies that learning involves not simply the acquisition or formation of new concepts. It involves the modification of existing concepts or their replacement with appropriate alternatives (i.e., conceptual change) (Toulmin, 1972; Brown, 1977). The predominant instructional question that follows from this position is one of how to facilitate some sort of “conceptual change” in the learner. While it can be argued that the goal of the instructional process is the facilitation of conceptual change, Posner, Strike, Hewson and Gertzog (1982) affirm that identifying misconceptions (i.e., alternative frameworks) and understanding some reasons for their persistence, falls short of devel- oping a reasonable view of how a student’s current ideas interact with new, incompatible ideas. Nussbaum and Novick (1982) have stated that studies of student alternative frameworks “demonstrate that in learning basic science concepts students are not passive absorbers of ‘new knowledge’, but rather active participants who must effect substantive changes in their preconceptions (p. 1).” Whenever the learner encounters a new phenomenon, he or she must rely on his or her current concepts to organize his or her investigation. The childs’ own commitments are likely to be highly signifi- cant in determining what they find initially plausible and, thus, in shaping their conceptual changes. This suggests to Posner, Strike, Hewson and Gertzog (1982) that it is important to find out just what epistemological commitments students have, if one Wants to understand what they are likely to find initially plausible or implausible and more generally, to un- derstand their processes of conceptual change. However, they point out that there has been no well-articulated theory explaining or describing the substantive dimensions of the process by which pe0ple’s central, organizing concepts change from one set of concepts to another set, incompatible with the first. Brown (1982) argues for seeking out potential models for understand- ing and promoting conceptual change in students. She recommends ob- taining rich and detailed descriptions of the qualitative differences between students within a particular domain by observing learning actually taking place within a learner, or group of subjects, over time. It is her contention that most work on the assessment of conceptual frameworks has tended to focus on the ‘snap-shot’ model rather than a continuous monitoring model. Hewson (1981) has advocated a theoretical perspective of conceptual change which articulates the conditions under which an individual hold- ing a set of conceptions of natural phenomena, when confronted by new ex- periences will either keep his or her conceptions substantially unaltered in the process of incorporating these experiences, or have to replace them be- cause of their inadequacy. A new conception 0' could be rejected; or reconciled (i.e., incorporated) with C in a process referred to as conceptual capture; or there may be a conceptual exchange whereby C is replaced by 0' because they are mutually irreconcilable. He suggests that if he or she holds a plausible alternative conception which contridicts that which is presented, the model indicates that the new material cannot be meaning- fully incorporated because it is not plausible. In addition to Hewson (1981), several other researchers have pro- posed models of conceptual change. Posner, Strike, Hewson and Gertzog (1982) propose four conditions that must be fulfilled if accommodation is likely to occur, that is, if students are to make changes in their central concepts. These include: 0 There must be dissatisfaction with existing conceptions. 0 A new conception must be intelligible. ' A new conception must be initially plausible. 31 0 A new conception must appear fruitful (i.e., lead to new insights and discoveries). Nussbaum and Novick (1982) on the other hand describe a general teaching strategy for use when significant accommodation is expected: 0 First, exposure of students’ alternative conceptions through their responses to an “exposing event”. 0 This is followed by sharpening student awareness of their own and other students’ alternative conceptions through discussion and debate. 0 Next, the creation of conceptual conflict by having the stu- dents attempt to explain a discrepant event. 0 Finally, encouraging and guiding cognitive accommodation and the invention of a new conceptual model consistent with the accepted scientific conception. In addition to the research which has focussed on identifying and documenting the conceptual frameworks used by students in classroom settings, another strand of research activity has examined the effect of in- tervention strategies on student frameworks. Champagne, Klopfer and Gunstone (1982) have applied the theory and empirical findings of cognitive psychology (mainly information processing theory) in making explicit an instructional design model for initiating cognitive change. They engaged students in Socratic-type dialogues so as to arrive at explicit, qualitative re- sponses to a series of problem statements. The teacher then provided the expert’s analysis of the problems and asked the students to analyze their own solutions in the light of the expert’s solution. The assessment of the effectiveness of engaging uninstructed students in this type of Socratic in- structional dialogue was based on a qualitative analysis of mechanics 32 problems. They reported no appreciable differences being discerned be- tween the pre- and post-instruction cognitive states. Osborne and Wittrock (1983) have drawn extensively upon informa- tion processing psychology to develop a “generative learning model” which gives a general description of the processes a learner goes through in con- structing new knowledge. This model suggests three teaching stages as necessary to promote conceptual change: first, students attention is fo- cussed on a range of experiences relevant to the topic in order to familiarise them with the materials and the phenomena; second, students are encour- aged to make their personal ideas public through discussion and debate so that these may be challenged; third, the accepted model is presented and students are encouraged to explore the utility of various models by applying them to familiar and novel problem solving tasks. Another formal model of conceptual change has been elaborated by Posner, Strike, Hewson and Gertzog (1982). Drawing upon current work in the philosophy of science (Kuhn, 1970; Lakatos, 1970; and Toulmin, 1972) and information processing psychology (Norman and Rummelhart, 1975), they have distinguished between gradual, evolutionary changes and discontinuous, revolutionary changes in conceptual structure. The results they report for their intervention studies are in general very encouraging as they seem to be obtaining some success in bringing about significant con- ceptual changes for many of the students in the topic areas they have ex- plored to date. . Nussbaum and Novick (1982) applied their model to the development and assessment of an instructional strategy promoting specific changes in sixth-grade students’ conceptions of the nature of gases. The purpose of the study was to implement and make a qualitative assessment of a teaching strategy designed to promote conceptual change. They reported that the strategy was “highly efficient in creating cognitive challenge and motiva- tion for learning,” but “did not lead to the desired total conceptual change in all students (p. 17).” They concluded that: our findings may be interpreted to mean that a major con- ceptual change does not occur, even with good instruction, through revolution, but is by nature an evolutionary process. (p. 18). Driver and Erickson (1983) stated that the results of the studies they re- viewed on cognitive conflict were generally mixed. They concluded that while there did appear to be genuine shifts in some aspects of students’ frameworks, there was also evidence of a number of student ideas which remained resistant to this type of instructional strategy. Prior studies have usually furnished static pictures of student con- ceptions prior to and/or following instruction. In order to better understand what happens as students change their conceptions during instruction, it is necessary to study the process as it actually unfolds in the classroom during the course of instruction. While it is crucial to identify the range of alternative conceptions of different phenomena likely to be held by students, it is important to identify and address students’ metaphysical commit- ments which are often implicit but serve to anchor different alternative conceptions. Researchlaradim The discussion of the research paradigm will consist of two sections which provide a view of the theory of knowledge and the principles of re- search which guided the design and implementation of this research. E'I 1.”: 1|. The following will consist of four subsections detailing the principles of knowledge which guided the conduct of this research. Each section delves into an important aspect concerning the growth of knowledge in terms of cognitive processes, conceptual change, or inferential reasoning. WW3. Science is the result of human action in the process of creative imagination in an effort to impose order on nature; to find patterns in nature. Scientific knowledge which results from the appli- cation of scientific processes by the various specialized sciences contributes to an overall conceptual scheme which is internally consistent. The forma- tion of a theory within this conceptual scheme does not, as Kaplan (1964) argues, involve just the discovery of a hidden fact; the theory provides a framework within which to organize and represent them. The realization that facts are theory laden is related to our comprehension that without some form of structure observations and description would be unintelligible. The knowledge itself is formulated by and from the funda- mental concepts which are pervasive throughout the various specialized sciences and are, in effect, a product of the culture. This has been elaborated by Pratt (197 8) with his indication that indi- viduals grasp the world through their conceptual apparatus, a theoretical framework which represents the categories through which their experi- ence is gained. Without this a prior conceptual framework experience would not be intelligible nor distinctions possible. An individuals system of concepts imposes categories, divides experience into discrete items between which relationships become possible. Theory guides the search for data and the systematic patterns en- compassing the data. Theories are not, as Kaplan (1964) indicates, accessories after the fact, on the contrary, they function throughout inquiry. Since human evolution involves thoughtful action whereby all human conceptualization depends on our recognizing or putting some kind of order into the world through scientific exploration, science can be viewed as an activity of human life. Scientific theories provide an organized and systematized framework of data based upon experimentation by which the seeking of knowledge of natural phenomena can become meaningful. Nuniluoto and Tuomela (1973) contend that science looks for general patterns and regularities con- cerning a reality which exists independently of observers. This reality is knowable by means of scientific theorizing and experimentation aimed at the systematization of data rather thanthe mere collection of singular data. This construction of reality whereby natural phenomena become meaningful does not involve an accumulation of knowledge, but an evolu- tion or growth of knowledge. Popper (1965) argues that continued growth is essential to the rational and empirical character of scientific knowledge. This ‘growth’ of scientific knowledge involves the repeated replacement of scientific theories by better or more satisfactory theories. Moreover, this process involves the apprehension of problems of ever increasing depth whereby scientific progress proceeds from problems to problems. The awareness of a problem challenges us to learn, to observe, to experiment, and to advance our knowledge. Thus scientific knowledge is in a continuous state of change. It is tentative and therefore does not purport to be ‘truth’ in an absolute and final sense. Science as a body of knowledge concerned with the explanation of natural phenomena is dynamic and when confronted with unexpected observations must, as Kuhn (1977) pointed out, “always do more research in order to further articulate its theory in the area that has just become problematic.” In most cases, scientific exploration provides information for the refinement or readustment of various aspects of a conceptual structure. Occasionally, major scientific revolutions, during which time the normal- scientific tradition changes and there is a re-education of the scientific community’s perception of its environment, result in the alteration of entire fields of science. Kuhn explicates this process when he states: Discovery commences with the awareness of anomaly, i.e., with the recognition that nature has somehow violated the paradigm-induced expectations that govern normal science. It then continues with a more or less extended exploration of the area of anomaly. And it closes only when the paradigm theory has been adjusted so that the anomalous has become the ex— pected. (Kuhn, 1979, p. 52) An understanding of the nature of science involves an awareness of science as an evolving experimental discipline whose basic principles are subject to reconsideration and revision when new observations or new interpretations reveal that the present framework is inadequate. Thus, to better under- stand science and therefore to more realistically be involved in the process of science, one must comprehend the process of conceptual change. Wm. While theory construction involves selecting from the materials of experience, Kaplan ( 1964) argues that it also involves a conceptual aspect whereby the selected materials form the foundation for the formulation of a conceptual matrix with no counterpart in experience at all. The background conceptual matrix is not merely reorganized, for knowledge does not grow by accretion nor merely by the replacement of du- bious with more sound ones, but by the giving of new meaning through the remaking of the old cognitive matrix into the substance of a new theory. 37 The growth of scientific knowledge through theory construction in- volves a change in the conceptual matrix. It can be characterized as involving a conceptual change from the conceptual matrix Q1 to the less limited Q2. This adoption of Q2 in place of Q1 means that the world can be described in a more profound and specific fashion such that information not expressible without the theoretical concepts of Q2 can now be processed. Werner (1957) clarifies this process of change from Q1 to Q2 when he states that: Whenever development occurs it proceeds from a state of rela- tive globality and lack of differentiation to a state of increasing differentiation, articulation, and hierarchic order. This new conceptual matrix is less limited in its ability to describe and ex- plain phenomena in that it provides the educational community with greater ability to make distinctions and seek out patterns. This process goes beyond mere linguistic enrichment, it involves new meaning. With such a characterization of theory construction as conceptual change we can visualize a process whereby Q1 (i.e., the input) is channeled through the system and results in modification of its existing parameters, eventually resulting in Q2 as output. This description interrelates an in- ternal state description with a functional analysis of the input-output. Laszlo (1973) points out that describing conceptual change as a process in- terrelating a system and its structural-dynamic structure with inputs and outputs involves system-cybernetics. Instances of the system-cybernetic process can be found in societal processes such as is evident in the conduct of scientific inquiry, as well as in the area of cognitive processes. The utilization of cognitive processes during the course of scientific inquiry involving a change from one conceptual matrix to another entails 38 not only scientifically observable objective events, but also events which can only be examined by introspection and which make up the direct and inter- nally demonstrative experience of each of us. Laszlo (197 2) indicates that these internal sets of events may be denoted mental events and that the sys- tem of mind events can be characterized as a cognitive system explorable through the concept of system cybernetics. It can thus be concluded that since introspection is required for the change from Q1 to Q2, mental events are necessary for the process of conceptual change to proceed. Adaptation to environmental disturbances, which results in a con- ceptual change, involves the reorganization of the existing conceptual ma- trix to fit the actual flow of sensory experience. It is a process which in- volves learning. Confronted by a problematic situation the cognitive system must change if it is to learn and thus attain a higher level of cognitive functioning. Laszlo (1972) argues that the “adaptation of the cognitive sys- tem to its environment can only come about through the elaboration of new constructs which match the anomalous experiences and hence endow them with meaning” (p. 129). Any process which results in learning ne- cessitates the attainment of an adequate symbolization of the significant re- lations in the perceived and inferred states of the systems environment through a reorganization and elaboration of the cognitive system. The process of adaptive self-organization is an aspect of a cognitive system which conduces it toward states of higher negative entropy. It is when the system is in a state of progressive organization that the entropy of the system actually decreases (cf., Laszlo, 1972). Moreover, when there is a decrease of entropy the cognitive system gathers information. A cognitive system is thus a dynamic ordered whole, which evolves toward increas- ingly informed states. An important aspect about conceptual change and growth in relation to scientific inferences is that as suggested by Nuniluoto and Tuomela (1973), they provide expanded potentialities for the expression ' and processing of information which was not expressible within the origi- nal conceptual framework. Thus, it is necessary for conceptual change and the resultant growth of scientific knowledge that the information content increase. WWW. It can thus be argued that cog- nitive systems are information-processing systems, and therefore we can apply the concept of information to mental systems. The conceptualization of an information-processing system involves the formulation of an abstract model having applicability for the description of how an individual, or in our case the scientific community, processes what Newell and Simon (197 2) have referred to as “task-oriented symbolic information” (p. 5). In this case the task is that of the educational community to explain complex psychological phenomena. The information-processing approach to the investigation of a cognitive system utilizes postulated processes or opera- tions and interdependent capabilities of the system to assist in the explana- tion of the processes by which judgements are made and problems resolved within a task environment. The concept of a ‘task environment’ has been elaborated by Newel and Simon (1972), and refers to an environment which is goal-oriented in the sense that there exists a task or problem to be encountered. Observations provide information, and Hilpinen (1970) suggests that scientists make observations because it is an assumption that they provide information concerning hypotheses in question, and because an aim of in- quiry is to obtain information. Yet the singular action of observation is lim- ited in its potential. Kaplan (1964) argues that the content of our experience is not merely a succession of discrete observations, but consists of a se- quence of events which are meaningful both in themselves and in the pat- terns of their occurrence. Conceptual change and the associated growth in scientific knowledge can be viewed as involving a change in belief. It can then be argued that semantic information is involved in conceptual change since, as suggested by Jamison (1970), change in belief is the most philosophically relevant no- tion of semantic information, since the definition of semantic information is based upon the concept of information as a change in belief. Therefore, the process governing scientific inferences may be viewed as involving the acquisition of semantic information. Laszlo (1972) elaborates upon the association between semantic in- formation and the growth of knowledge when he submits that the question is whether the reorganization of a conceptual matrix in a cogntive system involves an overall statistical gain in information content. The supposition is that as a social psychological system the scientific process has a gain in information content when Q2 is greater than Q1. This gain in information content is associated with a gain in the level of organizaton as a result of the reorganization of the basic structural parameters of the system. Within the interpretive framework which involves a semantic repre- sentation of natural phenomena, our fundamental interest is directed to- ward delineating the different alternative representation of the natural phenomena in question. The more of these alternatives a semantic repre- sentation admits of, the more probable it is; while the more alternatives a semantic representation excludes, the more informative it is. Since a cognitive system must gain information content to remain vi- able when interacting with the environment our interest is thus drawn 41 toward representations which restrict the potential alternatives. It is in this context that we must explore the process of scientific inference and the resultant growth in knowledge. We have determined that the growth of scientific knowledge involves conceptual change through the use of mental events which occur within a cognitive system involving the process of in- formation transfer. Thus, the important factor in the growth of knowledge through inferential reasoning is the information content of our representa- tion of the world. 1W. The exploration of the dynamics of the growth of knowledge effectuated an awareness of the significance of conceptual change for the continued evolution of knowledge and the impor- tance of information content for the change from Q1 to Q2. Conceptual change, as the principle means of the evolution of knowledge, necessitates a less limited notion of theory appraisal than reduction of uncertainty (cf., Salmon (1966)), or hypothesis testing (cf., Hacking (1965)). The reduction of uncertainty does not adequately model our search for reality since, as Jamison (1970) suggests, reality is far too rich and varied to be adequately reflected in a logical theory of probability involving the degree of confirmation. These deficient approaches are each founded upon an aspect of what Hanna (1980) refers to as the false dilemma. These views involve on the one hand the belief that inferential reasoning must be based upon de- ductive arguments resulting in certain truth or upon inductive arguments resulting in probable truth. Pratt (197 8) argues that: .. it is impossible to get outside all conceptual schemes, im- possible to describe reality as she “really is”, and thus impossi- ble to achieve a position from which the truth of any claim made within a conceptual framework may be “externally” assessed. (p. 58) Thus, there will be difficulties with any attempt to show a theory to be true. Hanna (1980) argues that while informative theories are not necessarily true, neither are true theories necessarily informative. Thus, there will be difficulties with any attempt to show a theory to be true. We will therefore reject the support paradigm and will attempt to show that since information is an important aspect of all cognitive system’s it is the parameter of interest for appraising scientific theories. Moreover, it will be recognized that showing a theory to be false is immensely more ef- fective in the appraisal of theories. Pratt (1978) submits that the aim of so- cial science should be to use its observations to dispose of theories as op- posed to the traditional methodology of trying to arrive at theories on the ba- sis of an inductive inference from observations. This emphasis upon falsification is a consequence of the quest for ev- idence with high information content. Popper (1968) argues that while we can not verify or confirm hypotheses, the most informative new observa- tions will be those which falsify the previously preferred generalization. With this view of the scientific enterprise, Hanna (1980) submits that the intent of inferential inquiry is to discover evidence and formulate theories which increase our information about natural or sociological phenomena. Popper (1968) suggests that the greater the amount of empirical informa- tion or content‘a theory contains the greater the predictive or explanatory power will be; and as a more highly informative theory, it can thus be more severly tested as a result of the comparison of predicted facts with observations. Thus, in this view, an important aim of the inquiry process is to formulate theories with a high degree of falsifiability, or testability. Hanna (1980) emphasizes that with increases in the degree of falsifiability there are increases in the quantity of empirical information transmitted by a theory. Thus, the information paradigm which is being proposed for the appraisal of theories has as its foundation the determination of the amount of actual or potential information a theory provides regarding the relevant empirical observations of natural phenomena relative to background knowledge or competing hypotheses. Within this information-theoretical framework, we can assess the explanatory power of theories (i.e., conceptions put forth by the scientific enterprise, student conceptions of scientific phenomena) stated in the lan- guage Q2 with respect to the theoretical concepts and observational gener- alizations in Q1 (cf., Hanna, 1980). If, however, the information content of a composite hypothesis is obtained from the data which is to be explained then that information does not have any explanatory value. In this regard, it is the scope and precision of a theory’s predictions that provide a measure of its testability. Whereas, Hanna (1969) suggests that: the essential characteristic of description, as opposed to ex- planation or prediction, is that a substantial portion of the in- formation required for the account is transmitted by the data, rather than by independent environmental factors. (p. 321) In the educational setting it may be more appropriate, especially in case studies, to begin with the formulation of descriptive theories before one at- tempts to develop theories with predictive, or explanatory power. It would thus be more appropriate to look at particular research data as having a measure of descriptive power (cf., Hanna, 1980). Thus, with experimental arrangements which cannot lead to explanatory or predictive theories the most which can be expected is a descriptive representation of phenomena. 11 ll 1 l . l E 1 |° This section will provide insights into the various aspects of the methodological foundation within which this study was conducted. These include the assumptions and guiding principles concerning research on teaching, and the potential for generalizaton from the observed patterns of conceptual change. It has been argued (Hanson, 1958; Toulmin, 1961; Kuhn, 1962) that scientific theories are radically underdetermined by experience and that although scientific theories must be testable by experience, they need not arise merely out of experience. They contend that what even counts as ex- perience is necessarily theory dependent. Petrie (1972) suggests that expe- rience can not be described independently of theory since a neutral observa- tion language does not exist. The direction whereby the influence of theory upon observation is ignored has resulted from the inability of the function- alists to see that some empirical results have the significance they do be- cause of the observational categories and theory in which they are embedded. It is thus evident that some form of holistic philosophically con- firmable foundation must provide a guide to observational methodology and inferences. Dunkel (1972) asserts that “some kind of normative base must be found if education is to be more than a mindless technology, ...” (p. 93). The distinction formulated by Kant (1787/1965) between judgements that are arrived at synthetically rather than analytically is instructive. He argued that the synthetic judgement process is expansive whereas the analytic is simply explicative. Utilizing this argument as an aspect of his contention for an increased emphasis upon the constructivist approach in educational research, Magoon (1977) points out that “man mostly comes to know his world by actively constucting it, and not so much by the passive reception of inputs” (p. 657). It seems clear then that some form of inferential reasoning is necessary in order to pursue a more complete understanding of concept formation. 32W- It is possible to distinguish five facets of re- search on teaching which can be further characterized as quantitative, or qualitative. The quantitative approaches (i.e., Process-Product, Carrol Model and Aptitude-Interaction) to research on teaching share a number of guiding assumptions. The major assumption is that any relationships be- tween teacher behavior and student achievement is law-governed. Secondly, an emphasis is placed upon only the observable behavior of the teacher. However, the qualitative approaches (i.e., Ethnographic and Teacher Thinking) are guided by the assumption that the teaching-learn- ing process is rule-govemed as opposed to law-governed. It has been argued (Lott, 1981) that the application of the quantitative approaches to research on teaching have lead to limitation in the practical application of their findings. It follows from these perceived limitations that the research being described has its foundation in the qualitative ap- proach to research on teaching. However, while this research is based upon the guiding assumptions of the qualitative approaches, it acknowl- edges the importance of several propositions which are found in the quanti- tative approaches. An important relational consideration is that between process and product variables. The process variables are seen as interactive variables, between teacher classroom behavior and pupil classroom behavior. These process variables influence changes in pupil behavior, which result in the product variables of pupil growth. The modification of the Carroll model by Bloom (1974) introduced the concept of prerequisite learning and the need for a student to master the necessary skills before encountering the next task to be learned. The importance of cognitive entry characteristics has recently been reemphasized by Bloom (1980) with his contention that “much of the variation in school learning is directly determined by the variation in students’ cognitive entry characteristics” (p. 383). This is also in agreement with the Aptitude-Treatment Interaction (ATI) approach whose key char- acteristic is the concern for the interaction between the individual and the treatment, or environmental factors. Aptitude X Treatment interactions are defined by Cronbach and Snow (1977) as being present “when a situation has one effect on one kind of person and a different effect on another” (p. 3). They then go on to suggest that aptitude measures and educational meth- ods should form a mutually supporting system. The limitations of quantitative-oriented research apprehended by some researchers has lead to the utilization of different approaches to research on teaching. These qualitative approaches make the assumption that teachers and students are purposive agents whose thoughts influence their behavior (cf., Magoon, 1977; Johnson, Rhodes & Rumery, 1975). Ethnographic research is based upon several assumptions regarding the educational process. First among these is that an important source of explanation for classroom phenomena is the social context in which teach- ing and learning occur. The members of the observed situation are re- garded as knowledgeable beings whose behavior is purposeful and mean- ingful in this context. Magoon (1977) contends that the teacher and stu- dents are “purposive agents whose thoughts, plans, perceptions, and inten- tions influence their behavior and moderate the effects of behavior” (p. 652). 47 The key characteristic of the Teacher Thinking model of teaching is that the teacher is a rational and intelligent individual faced with a very complex situation. Clark and Yinger (1979) point out that the research fo- cus should be the mental processes underlying behavior whereby an em- phasis is placed upon attempting to understand teachers’ judgement and decision making. An important aspect of this approach is its acknowledg- ment that the teaching environment involves complex interdependencies between behavior and environment (Y inger, 1978). As a qualitative-oriented study the research being conducted is at- tempting to look at the interaction of process and product variables and aptitude-treatment interactions in a new light. The methodological tech- niques will, it is hoped, provide a more unified approach to research on teaching. The questions of interest are “What is the relationship between a teachers’ interactive decision making and the patterns of conceptual change?” “What are the relationships between environmental factors and the patterns of conceptual change?” “What is the relationship between stu- dents’ prior knowledge and the patterns of conceptual change?” It is important to note that the types of thought processes exhibited in classrooms appear to be very dependent upon the nature of the cognitive task focused upon. Research must take into consideration the importance of the environmental factors influencing instruction (cf., Weinstein, 1979), and the process of social interaction (cf., Piaget, 1971). Interaction, the key concept in the ATI approach, has been described as behavior being a fimction of the individual and the environment (i.e., of the aptitude and the treatment). However, this ignores the reciprocal na- ture of interaction in which the three entities of behavior, the individual, and the environment, are each affected by the other two in a continuous, simultaneous and sequential manner. The treatment may itself be altered by the individual, and includes the social context of instruction. The two scientific disciplines referred to by Cronbach (1957) answer formal quantitative questions. What is needed to extend the paradigm and provide descriptive data for further research is systematic inquiry relying upon naturalistic and qualitative approaches to research. Generalizability. The question of generalizability need not, however, be a point of contention. Eisner (1981) suggests that the belief that the gen- eral resides in the particular provides a framework within which general- ization is possible. Qualitative research and the inferential process aimed at formulating conjectures attempts to provide insights that exceed the lim- its of the unique parameters of time and space within the situation in which they emerge. The researcher believes that the particular has a con- tribution to make to the comprehension of what is general and thus he is interested in making the particular vivid so that its qualities can be experienced. I] I' l E l I' The utilization of a model as an organizing framework implies an inherent way of thinking about the phenomena under study and as such places limits upon the kinds of research questions asked, the methods of inquiry employed, and the rules of evidence used to analyze and interpret data. The research program being described has a theoretical framework concerning learning, teaching, and the milieu of the educational setting. I B |° _ . It is argued that cognitive systems are information-processing systems, and therefore we can apply the concept of information to mental systems. This study of the teaching and learning process is thus founded 49 upon the information-processing theoretical framework within which the teacher is viewed as an information processing decision maker (Shulman & Elstein, 1975) who provides a task environment intended to promote intel- lectual development, and the participants are viewed as goal-oriented information-processors and decision makers (Smith & Berkheimer, 1977) who utilize the internal capabilities of problem' solving and thinking (Gagne, 1977). The conceptualization of an information-processing system involves the formulation of an abstract model having applicability for the description of how an individual processes what Newell and Simon (197 2) have referred to as “task-oriented symbolic information” (p. 5). The information-process- ing approach to the investigation of a cognitive system utilizes postulated processes or operations and interdependent capabilities of the system to as- sist in the explanation of the processes by which judgements are made and problems resolved within a task environment. Researchers using the information processing approach to study learning view learning as conceptual change involving some analysis and transformation of what has occurred through the encounter with the task environment. The basis for this important theoretical development has evolved in conjunction with the assumption of structural complexity (Piaget, 1971; Laszlo, 1972) whereby the human organism can be viewed as a complex adaptive open system. The information processing approach utilizes postulated organismic processes or operations (i.e., the processes and operations used by the human organism to interpret and manipulate information) and interdependent capabilities to assist in the explanation of human thought. An important aspect of this approach is the identification of the processes and strategies the human organism uses in a particular task environment. Gagne’s intent has been to seek a broader degree of generality than the “‘simple’ prototypes of learning?” (1977, p. 74) utilized by experimental psychology and to account for the processes and phases of learning in addi- tion to the capabilities produced by learning. His theoretical formulation, which is founded upon the research concerned with internal processes, has assisted in providing a viable hypothesis for the analysis of the conceptual requirements for learning and the design of instruction. An integral aspect of this conceptualization of learning is the occa- sioning of a problematic situation. That is, the provision of an educational situation whereby elements of the subject matter selected by the teacher, when juxtaposed with the student’s present conceptual framework, will result in a conceptual incongruity. The importance of conceptual incon- gruity occasioned through a problematic situation has been explicated by Piaget (1960) and Berlyne (1965). It is through the resolution of these prob- lematic situations by means of problem solving processes that the concep- tual framework becomes more differentiated and a new level of cognitive functioning is achieved. Case (1975) recommends that the design of instruction take into con- sideration the child’s information-processing limitations such that the in- dividual can cope with the informational demands of the learning situation. Thus, the generation of learning experiences would involve not only an analysis of component skills but also their functional organization. He contends that the “assembly of lower-order skills into higher-order skills is presumed to be possible only if the child’s capacity for coordinating in- formation is not overtaxed” (1978, p. 457). The framework for the 51 "developmental approach" and its effectiveness were evaluated through the analysis of the extent to which material which was taught was retained over an extended period of time. The results of the investigation were sup- portive in that for one example eighty percent of those who were involved in the developmentally based curriculum formulated by Case showed a degree of mastery attained by only twenty percent of those who did not have the de- velopmental approach. Other studies which were sighted also supported the value of this approach to some extent. Wage Conceptual change involves a change in the conceptual framework of the student through the action of internal mental capabilities during in- volvement in learning tasks. It is a process by which an individual com- prehends a problematic situation within the task environment. The intel- lectual participation required on the part of the student involves requisite operations and conditions in terms of abstract structures (i.e., conceptual framework) and identifiable actions (i.e., cognitive strategies) within situa- tional constraints (i.e., task environment). A characteristic of conceptual change is that the subject must elabo- rate or transform the current conceptual framework to reconcile internal discrepancies. An emphasis is placed upon the interaction between the subject’s internal processing of information and the encounter with the environment. It considers the environmental context as well as the inten- tions of the teacher and student to be important factors in the reconciliation of internal conceptual conflicts. It is within this context that Posner, Strike, Hewson, and Gertzog (1982) argue that “a new conception is unlikely to displace an old one, unless the old one encounters difficulties, and a new 52 intelligible and initially plausible conception is available that resolves these difficulties” (p. 220). The model of ‘teaching’ which results from the adoption of this model of conceptual change requires more of the teacher than simply the occasioning and structuring of content. Moreover, the student is required to go beyond the apprehension of the information content and its integration into the conceptual framework and must produce a way to deal with the in- congruous situation. The model accepts the constructivist philosphy as suggested by Magoon (1977) where the teacher and students are seen as “purposive agents whose thoughts, plans, perceptions, and intentions in- fluence their behavior and moderate the effects of behavior” (p. 652). Student and teacher interaction is further influenced by communication difficulties brought about by the use of different interpretive frames by the teacher and student (Driver and Easley, 1978). Unlike the first model (i.e., Process-Product) which places much responsibility upon the teacher and the Carrol Model which places emphasis upon the subjects participation (i.e., time on task), this model recognizes the mutual accountability of each. Based upon the model, changes in conceptual framework will be in- fluenced by the interaction of environmental factors such as teacher and student acts within the framework provided by the learning experiences and the internal reconciliation processes of the student. This will have be- gun with the teacher occasioning a discussion directed at having the stu- dents’ interpret the evidence gained from their classroom experiences. The patterns thus exposed are used to influence the subjects to justify their cur- rent conceptions in the light of the encountered evidence and where neces- sary reconcile concflicting conceptions. It is this episode in the instruc- tional sequence which will make public the alternative frameworks used by the students in response to what N ussbaum and Novick (1982) refer to as an “exposing event” (p. 4). The teacher’s skillful probes using student alterna- tive frameworks along with empirical and theoretical evidence leads to the subject restructuring his/her interpretive framework. Analyzing the patterns of conceptual change can lead to an under- standing of the relationships between the task environment, concept formation, and the process of conceptual change. Individuals have differ- ent conceptions of subject matter and apprehend curricular tasks in vari- ous ways. It is through an understanding of the patterns of conceptual change that appropriate learning experiences can be selected and occa- sioned in an effort to support or enhance the development of conceptual frameworks. I l . -I . E Teaching will be viewed as an intentional and systematic activity. It is intentional in that some change toward a specified end on the part of the student is contemplated. It is systematic in that direct attention is given to a set of actions, within a specified structure and situational context, which intervenes between tasks of the teacher and tasks of the student. Teaching and learning may also be looked upon as a form of linguistic activity. Dunkin and Biddle (1974) point out that the analysis of teaching as a form of linguistic activity is not familiar to many educators, although the symbols with which the exchange of ideas in an educational setting are conveyed helps clarify meaning. In this study the teaching and learning process will be viewed as in- volving systematic and linguistic events, and the research interest will thus be to examine patterns of linguistic events. Influenced by the view that “systematic structures and processes underlie language use” (Slobin, 1979, p. 6), the approach will involve the examination of the discourse as a result of field observations. Dunkin and Biddle (1974) have pointed out that lin- guists have begun, through the study of semantics involving the relation- ship between language form, users, and meaning, to generate valuable concepts for the analysis of classroom discourse. The belief, upon which this study is based, is that once the proposi- tions that appear in the sentences of speakers are clearly represented the structure of their ideational exchange should become clear. However, the syntax, or system of linguistic structure, is only one aspect of a linguistic event. Thus, the current study will not only utilize syntactical structure, but also semantics in an attempt to determine the meaning of the discourse, since “the semantic system of language forms the interface be- tween language and thought” (Foss and Hakes, 1978, p. 48). Therefore, the appropriate approach is viewed to be the development of observational tech- niques based upon linguistic analysis. E l] l i l E . . 1 In addition to reviewing the previous research which provided background for this study, this chapter has explored the theoretical and methodological assumptions which guided the design and interpretation of this research. The nature of scientific knowledge, conceptual change and cognitive systems was reviewed owing to the belief that there are parallels between the nature of the growth of scientific knowledge and student learning (i.e., growth of knowledge). The review of the theory of knowledge and principles of research which guided the design and implementation of this research was incorporated in an effort to provide the reader with in- sights concerning the view of the world which influenced the design of data collection procedures and the conduct of the analysis process. The parallel between social (e.g., scientific community) and intel- lectual changes has been suggested by Toulmin (197 2) who states that like the institution of science, individuals “change by selective innovation in response to changing situations, in the name of collective social goals, and in this, too, they diSplay an unremarked parallel to concepts and conceptual evolution” (p. 353). In the educational setting it is asserted that knowledge (i.e., concepts) is a product of the culture of the classroom. Just as with the scientific community, individuals grasp the world through their conceptual apparatus, a theoretical framework which represents the categories through which their experiences are gained. The growth of knowledge (for an individual, for a community of scientists) leads to the ‘giving of new meaning,’ however, the background conceptual matrix is not merely reorganized, the existing conceptual matrix is changed to fit the actual flow of sensory experience. The review in this chapter of such topics as the nature of inferential reasoning and conceptual change was meant to give the reader a perspec- tive of the principles which guided the design and interpretation of this research. The reasoning reviewed in those sections suggests that the formation of a theory (e.g., a theory of conceptual change) does not involve just the discovery of hidden facts; it involves the search for general patterns and regularities concerning a reality (i.e., the utilization of cognitive pro- cesses by an individual during the course of scientific inquiry in an educa- tional setting) which exists independently of observers (e.g., the researcher). This reality is not knowable by means of the mere collection of singular data; it entails not only scientifically observable objective events, but also events which can only be examined by introspection and which make up the direct and internally demonstrative experience of each individual. Thus, to get at the patterns and regularities inherent in events only examined by introspection, observational techniques and clinical in- terviews must be used in a unified data collection system. The material discussed regarding the epistemological, methodolog- ical and theoretical foundations provided an organizing framework which guided the development of the observational methodology and the making of inferences. The value in considering the arguments concerning research on teaching and cognitive systems as information-processing systems, has been that potentially useful questions that might not otherwise have been asked were perceived and played a guiding role when observing events, or analyzing data. The arguments revealed in this chapter were intended to make it clear that the design of the methodology and the conduct of the re- search was guided by the assumption that the teaching-learning process is rule-governed and that teachers and students are purposive agents whose thoughts influence their behavior. It seemed clear that there must be an acknowledgement that the teaching environment involves complex interdependencies between be- havior and environment and that an important source of explanation for classroom phenomena is the social context in which teaching and learning occur. Moreover, the arguments in these sections have suggested that the important factor in formulating a methodology which would lead to the growth of knowledge through inferential reasoning (i.e., give researchers the capability to gain new insights into the process of conceptual change) is the information content of our representation of the world. Thus, it was felt that there must be a more unified approach to the research and that it should take into consideration the importance of the environmental factors influencing istruction and the nature of the cognitive tasks. CHAPTER 3 PROCEDURES The intent of this chapter is to provide a view of the environment in which data collection occurred, and the procedures and techniques used. In addition, the techniques used to interpret and analyze the data once or- ganized will be discussed. W The purpose of this section is to describe the context within which the study was conducted and the procedures for data collection and organization. The function of the data collection methodology was to pro- vide sufficient information from which changes in a student’s inferred conceptual framework could be identified. It is important that the data be complete and organized for efficient and effective analysis. The case study, group data and target student data must provide an adequate and accessi- ble data source for conceptual change analysis. Qantaxt The context in which this study was conducted included an instruc- tional unit, the subjects who experienced the instruction, the teacher who guided the instruction, and the school and community in which the in- struction occurred. I | l' I II 'I The curricular unit which provided the instructional context for this study was the “Producers” unit of SCIIS Communites as revised by Smith, Anderson, and Berkheimer (1981). The revised teacher’s guide was de- signed to make the conceptual change aspects of the instruction more ex- plicit than they had been in the original SCIIS guide. The literal program had many features which were designed to help bring about changes in students conceptions. This involved student partic- ipation in experimental set-ups and corresponding key questions which were intended to guide the observation and interpretation of phenomena. The strategy referred to is represented in Table 1. The unit begins with the student’s dissecting bean seeds and examining the contents. They learn that there are parts to a seed; the cotyledon and the embryo. The question is raised “What do these parts do as the plant grows?” This leads to the set-up of an experiment where the stu- dents germinate bean seed parts (embryo, cotyledon, embryo with one cotyledon, and whole seed). From their observations they would observe that the embryo is the part of the seed that grows into the new plant. They also observe that whole seeds and embryo’s with one cotyledon attached usually grow while separate embryos and separate cotyledons do not. The next chapter in the unit explores the question “Do plants need light to grow?” Students grow grass in the light and in the dark. It is dur- ing the experiments in this chapter that the students would observe a num- ber of events which were intended to be difficult to explain if they held the common misconception that soil is a source of food for plants. They would see grass seed sprout and begin to grow in the dark, then generally wither and die. The intended explanation to result from this observation is that it occurs because the food stored in the cotyledon runs out. This leads to the “invention,” by the teacher, of the concept of photosynthesis which is in- tended to explain the observations better than the idea that plants get their food from the soil. 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The pro- cedures for analyzing student conceptions developed by Smith (1980) were revised and expanded prior to this study. The foundation upon which this methodology development was conducted evolved from research efforts at the Science and Mathematics Teaching Center in coordination with the Institute for Research on Teaching at Michigan State University (Smith, 1980a). The patterns and parameters of conceptual change as determined for all the students were used to categorize the individuals selected for in—depth study through clinical interviews within particular patterns. The in- structional activities identified in the program analysis, intended to bring about conceptual change, provided the framework for the analysis. The results of such a process were used to explore the group patterns of conceptual change. Those students inferred to have a specific conception were selected out of the data file and their pre-test conceptions determined. In an effort to study the process of conceptual change it was determined which students possessed these conceptions and what conception resulted. W. The procedure for the analysis of interview dis- course involved the delineation of the propositions asserted during the in- terview process. A students’ conceptual framework was inferred from data obtained as students explained the scientific phenomena encountered during the interview or as part of their classroom experiences. Propositions obtained from the clinical interviews on different occasions could be compared to identify changes in students’ conceptions. It should be noted that this was not an evaluation study; it was not intended to evaluate the student’s achievement of content or their ability to hypothesize or explain. The inquiry skills of explanation and of hypothesis 77 generation were only used as situational contexts for inferring an indi- vidual’s conceptual framework. W. An application of the suggestions of Minsky (1975, 1977) and Davis (1980) resulted in student conceptions and the information content of the science lessons being represented as lists of proposition ‘frames.’ These frames (see Appendix D) specified certain components of a proposition which were fixed and other parts which could vary. In order to facilitate the analysis of conceptual change the formula- tion of frame matrices was undertaken. A ‘frame matrix’ was formed by denoting the data points (lessons, pre- and post-assessment, and clinical interviews) horizontally and the coded proposition frames vertically. The affirmation of a specific alternative frame was recorded at the intersection of the appropriate column and row. These frame matrices, one representing propositional frames af- firmed during instruction (see Appendix E) and one representing the propositional frames affirmed by the four target students who were the focal point of the classroom observations (see the frame matrix for Ben in Appendix F), provided an organizing framework whereby the sequential representations of propositions affirmed could be examined for changes. The completion of a frame matrix was based upon the analysis of the psy- chomodeling instrument, narratives and transcripts based upon classroom observations, as well as the clinical interviews. The frame matrix, as an analysis vehicle, provided insights concerning a student’s interpretations of phenomena encountered as part of the instructional unit. Wm. Propositions obtained from the psy- chomodeling instrument, clinical interviews or classroom observations and plotted on the frame matrix could then be compared to identify changes in students’ conceptions. A strategy was developed with the purpose of pro- viding for the organized search of the data base for relevant observations and quantitative data, and the effective translation of this information into a form useful for conceptual change analysis. The strategy included the following steps: 1) 2) 3) 4) 5) Review data from target classroom and select one of the target students: 1.1) who has interesting and clear preconceptions, and 1.2) for whom there is reasonably complete data. Represent the student’s preconceptions based upon results from psychomodeling instrument in terms of: 2.1) Lists of propositions organized by t0pic and indicating source. 2.2) Lists or diagrams of preconceptions organized by proposi- tion frames and subtopic. Select a particular preconception for selected student which: 3.1) is fairly complete, and 3.2) is interesting. Identify lessons and tasks in the literal program in which the student would confront information related to the selected pre- conception. 4.1) Examine the information content (set of propositions) of each task to determine if it would complete any proposi- tional frame included in the preconceptions. Analyze the relation between the preconceptions and the infor- mafion content of the lesson. 5.1) for each relevant proposition (ones which would complete a proposition frame), characterize the relationship between the preconception proposition and the program pr0position. Some relationships are: 5.1.1) Synonymous. 5.1.2) Directly contradictory. 5.1.3) Simple additive. 5.1.4) Inconsistent meaning of common concept? (NOTE: May be found if the frames were used to define ‘related.’ Inconsistent meaning may be due to dif- ferent frame used by student.) 5.1.5) Other relationships (define type). 6) Predict changes that would be expected: 6.1) Specify the predicted change and represent it as a list or diagram. 6.2) Represent the changed state in a manner parallel to 2. 6.3) Explain the basis for each predicted change or lack of change which might have been predicted. 7) Describe/analyze the context in which the ‘encounter’ (between preconceptions and information content) takes place. 7.1) Question being asked, answered (in literal program) 7.2) Science task being performed/or information source. 7.3) Other interesting context (e.g., nature and significance of earlier tasks which may influence concept formation). The above questions provided a focus whereby the data base input could be organized for effective analysis. The results were intended to 80 provide an organizing framework which would assist in the description of patterns of conceptual change. In each case the sequential representations of conceptual framework were examined for changes. It was then that determinations were made concerning the relationship of any changed conceptual framework with the desired framework. Insimslinn Once changes in students’ conceptions had been identified interest was directed toward the representation of instruction, based upon informa- tion obtained from classroom observation. This process was made less dif- ficult by using the literal program analysis which provided a characteriza- tion of the task organization and propositional knowledge of each chapter. Segmentation. The segmentation of instruction (i.e., literal program analysis), which provided an identification of the student tasks which would be occasioned if the suggestions in the instructional materials were followed literally, was used to compare actual behavior with the program intentions. W. The literal program analysis identified the propositional knowledge to be addressed in the instructional unit. In order to facilitate the analysis, the proposition frames previously defined (cf., frame matrix representations) were used, in conjunction with the narra- tive and summary descriptions of each lesson at the task level, to document the propositional content addressed in the instruction as well as that ob- served in student responses. Winn The lessons oc- curring between two clinical interviews which reflected a change were then 81 examined to identify those lessons or parts of lessons which contained in~ formation relevant to the propositions reflecting that change. The observational data and the representation of instruction was ex- amined in conjunction with the students’ frame matrix to identify the major changes occurring in students’ conceptions and the portions of the instruction containing information relevant to these changes. The identi- fication of changes other than those which involve simple addition of new propositions require some means of identifying propositions which are re- lated yet different. To address this need each frame specified certain com- ponents of a proposition which were fixed and other parts which could vary. Any proposition which reflected the constant portion of the proposition frame was considered an alternative instantiation of that particular frame. EhaselLAnalxsis The results of Phase I were used to guide the Phase II analyses where the transcripts of clinical interviews and relevant portions of lessons were used as primary data sources. Questions were formulated (Lott, 1981, 1982) to provide a focus whereby the data base input could be organized for effective analysis. The results provided an organizing framework which assisted in the description of important classroom, teacher, and student characteristics which could be used to describe relevant patterns of concep- tual change. Wags In this phase several conceptual changes were selected from those which had been identified in Phase I. These were then further analyzed using the narratives and transcripts of the clinical interviews and portions of important lessons. 82 There were several issues which guided the further analysis of the selected conceptual changes. In describing conceptual changes attention was directed toward the corresponding identifiable actions and situational constraints as well as the informational, intellectual, and reasoning char- acteristics of subjects. Insights were sought concerning patterns and regularities of conceptual change which could be, used to formulate conjec- tures for further research. The procedure began with the examination of the pre-conceptions. The propositional knowledge addressed was then compared with these pre- conceptions and points of cognitive conflict were noted. After the learning experiences leading up to this point, the question raised was “Did the pre- conception answer the question raised by classroom experience?” If it did not, then “Was there any change?” If there was, “What was the level of change?” If there was not, a comparison of student capabilities and task re- quirements was made. The following questions were aimed at providing the foundation for making judgements about descriptive representation of conceptual change patterns and the directions for further inquiry. The results were intended to provide bases for describing important classroom, teacher, and student characteristics which could be used to describe relevant patterns. 1) Pre- & Post-Conceptions comparison: comparison of propositional knowledge resolution, literal program analysis, propositional knowledge addressed, student pre-conceptions, and student post- conceptions. 2) Has there been a conceptual change? Is the change of conceptual framework a reformation of cognitive structure? 83 3) The reformation of cognitive structure may involve variations in 4) 5) organization. What is the change level? 3.1) 3.2) 3.3) 3.4) 3.5) Imitating or Assimilation: involves the direct use of beliefs provided by the instructor or by an instructional medium. Modification Translation Transformation: generalization an re-ordering of previ- ously assimilated concepts and principles from the subject matter. Accommodation or Construction: an active search for new information, concepts and principles which are then com- bined with previous knowledge in essentially novel ways. Classroom task analysis 4.1) 4.2) What was student question? What was addressed by activity? Classroom observation 5.1) 5.2) Student acts 5.1.1) What were the tasks performed by the student? 5.1.2) How does the student organize the elements of instruction? 5.1.3) How does the student verify the adequacy of the new conceptual structure? 5.1.4) What kind of systematic course of action did the stu- dent plan? Cognitive processing required by learning tasks. 5.2.1) Recall: storage and retrieval of verbal information. 6) 5.3) 5.4) 5.5) 5.6) 5.2.2) Discriminate: distinguishing characteristics uti- lizing intellectual skills. 5.2.3) Develop: relations and principle learning; involves intellectual skills referred to as higher-order rules. 5.2.4) Assess: problem-solving; involves the use of cognitive strategies. What were the identifiable actions and situational constraints called for by tasks? Propositional knowledge addressed 5.4.1) What information is provided by the task? 5.4.2) What knowledge addressed is not reflected in the literal program analysis? What was the source of the knowledge? Classroom interaction Teacher acts 5.6.1) What question did the teacher ask? 5.6.2) What was teachers intent? 5.6.3) How does this compare to literal program analysis? Clinical Interview 6.1) 6.2) 6.3) Does the student recognize what is being called for? How does student interpret the tasks in which he has been engaged? What question did student think he/she was answering? Student Manual 7 .1) 7.2) Is there evidence of conceptual change? What descriptions and explanations for phenomena en- countered were offered? 7 .3) What kind of plans were provided or suggested by the stu- dent to determine the adequacy of his/her predictions? The above questions provided a focus whereby the data could be ana- lyzed in an effort to propose implications for curriculum development and teacher education, and conjectures for the direction of further inquiry. 91"]II'I .II]. This aspect of the analysis was aimed at determining if the student recognized what was being called for in the instructional tasks, as well as how he interpreted the tasks in which he was engaged. In addition, inter- est was directed at exposing how the student interpreted the tasks in which he had been involved; what question the student thought he was answering. I | I. l I . I E l . The procedure for the analysis of classroom discourse involved the delineation of the propositions asserted during the instructional process. This approach to the analysis of discourse provided a framework for draw- ing upon the transcripts as a source of evidence necessary to discuss the dynamics of conceptual change. In addition, at selected points in the in- structional sequence there was the transformation of text or linguistic dis- course in the educational setting observed into propositional networks which could then be compared with the literal program and with previous networks. A student’s conceptual framework was inferred from data obtained as students explained scientific phenomena, and developed and tested hypotheses. Within the classroom setting, the phenomenon to be explained was observed within the task environment. Thus, the only unknown was the conceptual framework of the individual. It was therefore possible to infer an individual’s conceptual framework from the explanation provided 86 by the student in conjunction with the situational context as observed. This is shown by a schematic diagram along with an example in Figure 6. The approach has been successfully used for the analysis of text from student manuals and psychomodeling instruments. However, these data sources provide information at the microstructure level. For classroom or interview discourse what is needed is an analysis resulting in the repre- sentation of macrostructure. Schank and Abelson (197 7) have argued that “the meaning of a text is more than the sum of the meanings of the in- dividual sentences that comprise it” (p. 22). Thus, for the analysis of dis- course a theory of semantic representation utilizing the macrostructure of a passage (Kintsch and VanDijk, 1978; Turner and Greene, 197 8) was used. The approach used to analyze discourse was developed after the techniques utilized in cognitive psychology (Kintsch, 1978; Turner and Greene, 1978; Schank and Abelson, 1977) were explored for their appropri- ateness to this study. The analysis systems of Pines, et al. (1977) “designed for elucidating substantive cognitive content, indicating cognitive differen- tiation and enabling the comparison of discourse analysis” (p. 74) along with those techniques used by Erlwanger (1974) were modified for the par- ticular needs of this study. The analysis of discourse provided the information necessary to dis- cuss the dynamics of conceptual change. The limitations found in an ear- lier study (Lott, 1980) were overcome with the possibility of formulating in- ferences concerning conceptual framework during the instructional se- quence in addition to those inferred pre- and post-instruction on the basis of written psychomodeling instruments. 65:85 555 .5 8:88; o5 .5 55058 .5 mm 58w 8 0:3 895 mam .5 5.55 35 55 5:58.558: 8:8 85:8 55 .55 53 .5555588 55588 965 05 5 5:88 523 .85 85 8 £58 85858 25. 5.5588 #535: 5555598 5 8 25585 558 to 53m 55 5508 E 555 :55 05 8:55 5955 3 838m 53 .5538 mEm 55 5c 55: 8E. ._55 553 m 85 55 -38 mam 83 585555 55 SE... 8:888 55 .5 555505.55 55 55> 853 $5 .85 265 05 5 8858555 m5 55m 25» 5558 55 .85 58.35885 53588 55 5&8 :5 8» .5385 55 .3 55585 5:080:85 505.35 .5 25558555 55 E5 5585 555 -535 m5 .5 885885 55 9:8: 8655888an 85585 85850 8 535 5555.55 1.53088 ..— 1:38.50 8:35m :osuca—axm 38:38 6 HEDGE .255: «:5 «5:55;.— 5:85 5x350 CHAPTER4 RESULTS The analysis which is described in this chapter evolved from the se- lection of a set of important changes identified in the Phase I analysis. The data for Phase I, which had been collected in a variety of ways (i.e., observation, interviews, tape recordings), was in the form of words, rather than numbers. The analysis of this data consisted of a sequence of three activities (i.e., data organization and reduction, data display, and the search for changes in students’ conceptions). Data organization and re- duction consisted of the simplification and transformation of the raw data that appeared in the field notes via editing (i.e., lesson summaries, transcription). An approach for data display (i.e., frame matrix) was then initiated and resulted in the coding of propositions identified as having been asserted by students and teacher. The purpose of Phase I was to identify the major changes that occurred in the target students’ conceptions, the period of time during which they occurred and the specific segment of in- struction that may have influenced these changes. Propositions obtained from the psychomodeling instrument, clinical interviews or classroom ob- servations were plotted on the frame matrix and compared to identify changes in students’ conceptions. Initially, the changes identified in Phase I were noted for each of the four target students. However, based on the voluminous amounts of data (i.e., 23 pages of Lesson Summaries, one page for each lesson observed; 134 pages of Task Description, which provided a narrative description of class- room activity at the individual task level; 182 pages of Classroom Observation notes; 52 pages of transcription based upon selected lessons $ from nearly 12 hours of observation over a period of 10 weeks, and nearly 12 pages of field notes from 1 hour of clinical interviews for each target student), only one student was selected for comprehensive analysis. This student (who will be referred to by the pseudonym Ben) was selected on the basis of two criteria: the student had interesting and clear preconceptions and the available data on this student was reasonably complete. Finally, a set of the most important changes of this student were selected for analysis. It is this set of important changes that are described, as a sequence of case studies, in this chapter. The Phase II analysis took the form of a series of case studies (Lott, 1983a; 1983b; 1983c) with the purpose of identifying features of the instruc- tional events and states of the student’s prior conceptual knowledge that might account for the changes which actually occurred. The selection of three conceptual changes identified in Phase I, which were thought to merit further study, was followed by a sequence of analyses; each focusing upon the instructional activities associated with one of the identified con- ceptual changes in an effort to expose relevant patterns and regularities. These were case studies of an individual student’s attempt to make sense of encounters with physical phenomena and classroom discourse during a sequence of learning experiences concerning photosynthesis. This analysis has focused upon the description of classroom occurrences, as well as teacher and student actions, emphasizing those periods of instruction, identified in Phase 1, during which the selected changes appeared to have occurred. Next, several patterns are discussed which yield insights concerning the ways of going wrong when attempting to bring about conceptual change. The focus of the analysis was the finding that the preconception of food for plants was not displaced but was reorganized to include a mech- anism for the absorption of food, a substance for making the plant green, and a process for the mixing of food sources. The results of this study pro- vides clear instances, as well as documentation, showing how the precon- ceptions held by students continued to influence, as might be expected, how they interpreted the natural phenomena which they observed, as well as the information content which they encountered. It was found that changes in the student’s knowledge were influ- enced by several different kinds of encountered information. Observations of phenomena, as well as abstract ideas presented by the teacher or other students, played an important role in the process of knowledge change. Moreover, the process of knowledge change involved active construction by the student of propositional links not explicitly encountered in instruction. In addition, questions actually presented by the teacher did not direct students toward the distinctions which were necessary for the interpreta- tion of the observed phenomena. Moreover, student and teacher interaction was found to be influenced by communication difficulties brought about by the use of different interpretive frames by the teacher and student or by the use of a limiting questioning pattern. Wanna Three conceptual changes were found which were thought to merit further study. These consisted of the inclusion of the following in a student conceptual framework: 1) the belief that the cotyledon collects/transmits food to the embryo; 2) the importance of chlorophyll for plants and its relationship to light; 91 3) the belief that photosynthesis is the “putting together” of materials that are food for plants. Each of these changes, which were observed in one student who will be re- ferred to as Ben, was the basis for a case study. Each case focused upon the instructional activities associated with one of the identified conceptual changes, each in some way concerned with food for plants and/or plants and light, in an effort to expose relevant patterns and regularities. In each case the student’s preconceptions and postconceptions are presented, followed by a look at the student’s instructional experiences. It was ob- served that throughout the period of instruction, the students (including Ben) continued to maintain their preconceptions of food for plants. Given the goals of the unit, this lack of change was also a focus for further analysis. Prior to instruction Ben viewed food for plants to be various external raw materials including light. The delineation of pre-instructional propo- sitional knowledge provided a reference point from which the extent of the conceptual change could be ascertained and understood. In each case study the central change was an addition to the student’s conceptual framework. The analysis attempted to gain insights into how these changes came about. An important aspect of any analysis of conceptual change is to con- sider the information content encountered during instruction. A question which provided a focus for further analysis was how the change became integrated into the subject’s conceptual framework. In each case, repre- sentations of the subject’s conceptual framework were examined in an ef- fort to reveal the dynamics over time. Ben’s preconceptions are presented, followed by a description of his experiences of instruction. His postconcep- tions as revealed in the clinical interview following the selected instruc- tional sequence in which the change occurred are then described. This provides the basis for considering the nature and extent of the conceptual change. In an effort to expose relevant patterns and regularities the propositional knowledge addressed within the sequence of learning expe- riences will be described. E . [I | |° Each of the case studies which follow will provide a description of Ben’s conceptual framework over time and his actual instructional experiences. First, a review is made of his conceptual framework prior to the instructional experiences which were the focus of the case study. This is followed by a description of the sequence of lessons and tasks, the propo- sitional knowledge which was asserted by the teacher or students during discussions and procedural tasks and an account of the relevant student and teacher acts observed during the lessons. Then a review is made of Ben’s conceptual framework following the instructional experiences which were the focus of the case study and the changes which were identified as the result of the Phase II analysis of classroom observations and clinical interviews. Finally, pre- and post-instruction conceptions reflected in the group data (i.e., data collected for all students using the psychomodeling instrument) are reviewed and compared to Ben’s conceptions. Classroom observation of the occurrences during instruction provided the data base from which student acts, teacher acts, and interaction inherent in the instructional process could be analyzed. This analysis in conjunction with the description of conceptual changes provides a basis for identifying patterns and regularities. This analysis involves an examination of Ben’s conceptual frame- work relevant to the function of the cotyledon, a part of the seed. A dis- cussion of Ben’s conceptions pertaining to the propositional knowledge encountered provides several insights concerning Ben’s ‘web of meaning’ as it relates to the function of the cotyledon. W. The information obtained from the frame matrix was used to develop a diagrammatic representation (cf., Norman and Rumelhart, 1975) of his conceptual framework concerning the cotyledon and food for plants (see Figure 7). Ben’s frame matrix was based upon the analysis of his psychomodeling instrument, narratives and transcripts from classroom observations, as well as transcripts of his clinical interviews. This diagram illustrates several interesting characteristics of Ben’s conceptual framework prior to instruction. There is evidence that Ben believes that fertilizer is food for plants. However, a closer examination of Ben’s first clinical interview shows that his concept of fertilizer is nonconventional. He indicates that fertilizer is food for plants but then elaborates that “seeds absorb fertilizer from sunlight, soil, manufactured fertilizer, decomposed objects, and water.” Thus, he believes plants get this food from the soil, light, water, organic matter, and manufactured fertilizer. This constitutes evidence for several alternative propositions which give insight into the interpretive model used by Ben. Notable by its absence in interview one is any mention of food coming from or being stored in the seed. Although he agreed with this idea when he encountered it on the pretest, he did not bring it up in the interview g ZOHEMUZOOHmm ZOEDZDE 9m S > ".""".I\ a J .. 85$? gmmfimgs: Ego—z. . .. .. .mutnfllvvlall. M Ehfic chcdcdtccclvmuu (44¢.44444443V . AIUMWn «Rana MW. @mmmnm 3.31 mean!— Lflaoa' ‘lll “ 9:. «33° \“ . .83.. 32:5. 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Early in Lesson 5.1, prior to the set-up of the experiment, a discussion was conducted around the question “do plants need light to grow?” During the discussion Ben re- marked that: They won’t grow as extensively if they are in the dark. They’ll still get the food they need to grow sunlight will give them more food and they will grow bigger. Although another student conjectured that plants do need light to grow, Ben suggested that plants in the dark get food from water and fertilizer whereas in the light they get their food from light in addition to water and fertilizer. Several days following the initial planting of grass seeds, but prior to any observations of growth, the teacher organized a discussion concerning seed part functions. Following a brief discussion about the embryo, the teacher asked “What about the cotyledon?” She indicated that she was aware that some of the students had different ideas and would like to hear what they were. The students who she called upon stated that “it (i.e., the cotyledon) gives food to the embryo.” The teacher responded by saying “OK.” and then stating “It is food to the embryo.” There was then a discus- sion revolving around the idea of the cotyledon as a mechanism for getting food. During this exchange of ideas a student suggested that the cotyledon 108 stores food. The teacher then pointed out that the cotyledon shrivels and gets smaller. It was at this point that Ben stated that the cotyledon gives food to the embryo and another student commented that the cotyledon ab- sorbs the food. It was during the discussion in Lesson 5.3, following the observation of the plants and recording of results, that Ben encountered the information that the cotyledon helps plants begin to grow in the dark. This reference to the cotyledon and plant growth in the dark came as the students were dis- cussing the results of their observations. Several students observed that plants in the dark begin to grow more than those in the light, while others indicated that their plants in the light grew more than those in the dark. It was during the closing remarks of this lesson that the teacher made the ob- servation that “plants in the dark have grown as as well or better than the ones in the light.” The observation that plants in the dark turn yellow was made in les- son 5.4 when the students took the plants out of the closet where they had been kept in the dark. The task before the students was to measure the height of the plants. It was during this lesson that some plants from each group were switched, (i.e., plants in the light were moved to the dark and plants in the dark were moved to the light). This provided a four-plot experimental design in which plants were measured and the results recorded over a period of several weeks. Ben’s focus on the height during Lesson 5.4 led him to observe that “plants in the dark grow taller than those in the light.” He concluded that “plants in the dark grew well because they got nutrients and the food they needed from other sources than the sun.” Although a student stated during the discussion that plants in the dark get nutrients from the soil 109 and water, but the sun gives extra nutrients, there is no evidence that Ben incorporated it into his conceptual framework at this point. A conjecture put forth by Ben during this lesson was that “plants switched from the dark to the light will begin to turn green.” He appears to have at this point be- come aware of the importance of the presence of light to the color of plants being green (see Figure 11). Ben viewed light as an alternative source of nutrients, as providing “extra” nutrients, which may have laid the groundwork for what came in lesson 5.5. At the beginning of the task in Lesson 5.5 where students were to dis- cuss their observations and make interpretations, the teacher focused the discussion on plants started in the light and kept in the light. After the dis- cussion shifted to plants taken from the dark and placed in the light, a stu- dent suggested that plants which had been switched from the dark to the light turned green because of the sun. Ben suggested that “the sun gives it the extra food and nutrients it needs to get back the normal color of any other plant.” Ben had come to believe in a connection between the color of plants and the presence of light based upon the empirical evidence observed dur- ing the observation phase of this and earlier lessons. To this point, Ben had made no reference to chlorophyll. After Ben’s comment John offered the view that plants produce chlorophyll. John suggested that the plant can not produce chlorophyll without the sun, and that the chlorophyll is the green. The teacher repeats John’s assertion later in the discussion and this pro- vides another point at which Ben can consider the alternatives. In an interview following this lesson Ben gives evidence of a belief in the making of chlorophyll as a mechanism by which plants remain green in light (see a: ZOr—LmOZOO BEG: Q72 @9245 m6 ZOmmmAAmmm .2 gnu—h Anson—“>533 mcosauseocow Eur—55m— .-\\\s once—3°5— »ocm II' eon—A 110 3%.... 833 nu ma..— \ .33.. Vflmezmafigw amt“. .. . hmmagwm 3...... v. 3w: 85:53.89 \\ .83.. “x 532:: flue—3 m2 _ \“ VQZ~fi..ch .8250 «5.5.. BEES“... 955 :9... woman a. as... 38:8 at...» £52 EHOZOO GOO... QZ< 2.724.. mesa—HEMBZ— .5 556—.— Eeancoo 3%.. once—Beam 6......— IV. 50%— «830 2.09. d ..o 0.39.. ; . I I!.' g $135395 v _ 9?an > 2.99. .83.. acoma student responses and focusing the attention of the students upon plants in light. Despite several opportunities for the comparison of conflicting stu- dent responses or of experimental conditions in the light, the conflicting re- sponses were not challenged and the differing experimental conditions were not pursued. This form of discussion resulted in a “collection” of re- sponses with no focus and a tendency to lead to confusion. At one point in the discussion the teacher did ask the students for an explanation in terms of “why have plants with the cotyledon made more growth?” This was followed by a student stating that “plants with the cotyledon in the light have double food or have more food. The bean plants without the cotyledon only have photosynthesis.” However, she did not pur- sue this student’s underlying rationale nor the perception of the other stu- dents regarding this view of food and plants. The teacher then turned attention to the plants in the dark; pursuing this in the same manner as the discussion about plant growth in the light. As the discussion shifted a student hypothesized that plants in the dark without the cotyledon had not grown as much because they had no source of food. Another student, in response to a question posed by the teacher, as- serts that “plants must be exposed to some light in order to grow.” The investigation continued with the measuring and recording of plant height. During a discussion in Lesson 6.6 Ben encountered the assertion that bean plants in the light have photosynthesis so they do not need to keep the cotyledon. This provides evidence that, for this student, there is a realization that for photosynthesis you must have light. As the discussion continues another student asserts that “the cotyledon feeds the embryo and after the cotyledon is gone the plant then gets the food from the sun, air, and water.” It is during the next lesson, as the students measure and record the height of their bean plants, that Ben states that those “in the light without the cotyledon will grow because without the cotyledon it would use photosynthesis.” After the students had completed the task of recording their measurements, the teacher asked that they describe what they had seen. Many in the classroom agreed with one student’s statement that “plants in the light are the healthier and are growing stronger.” Another student observed that the “bean plants in the dark with the cotyledon have got some height while the ones without the cotyledon did not grow much.” The discussion which followed focused upon the interpretation of the observations. While one student suggested that plants in the dark will eventually die because they have no light, Ben states that plants get food from the soil. In addition, he asserts that soil has food in it and the plant takes it out. However, when the teacher states that plants have two sources of food, Ben responds by saying that the two sources of food for the plant are the cotyledon and photosynthesis. Ben picks up on the teachers interpreta- tion (i.e., “sources of food”) and refers to an object and a process; an object in terms of the cotyledon and a process in terms of the action of mixing nutrients. The teacher then comments that “soil provides for deficiencies by providing minerals and vitamins plants need to grow,” to which Ben agreed. The completion of the bean plant experiment was followed by the teacher asking the students to complete the brainteaser in their student manual. The student manual page, with a drawing of a bat flying into a dark and apparently abandoned mine, posed the questions, “If the bat flew into the mine and several seeds fell out of its fur and began to grow in the moist mine, would the plants survive?” and “Explain why?” The purpose of this activity was to give the teacher an opportunity to ascertain the level of understanding the students had of the concept of photosynthesis. Once the students had completed the task the teacher initiated a discussion. During this discussion a student suggested that “plants at the back of the cave will not have light and will not live because they do not have photosynthesis.” As the discussion continued another student stated that “light is just an extra part of photosynthesis.” Yet another student re- sponded that “even if plants need photosynthesis, two out of three isn’t bad. This is another appearance of the mixture view with some clarification of consequences. An analogy is a tossed salad without tomatos; it’s better with tomatos, but still nourishing without them. Following the statement by a fellow classmate that ”plants in the cave will grow but will not be healthy“, Ben again acknowledged that plants will die without light when he said “plants in the dark will grow but will not survive.” It was shortly after this that the teacher initiated a discussion of plant needs. During this discussion it was asserted by one student that plants need photosynthesis to live. Another student followed by saying that “plants need light, water, and air to live.” When Ben followed this state- ment by asserting that air is part of photosynthesis, he appeared to once again be using a mixture view of photosynthesis rather than the process view. W. The knowledge asserted following the completion of Chapter 6 reflects Ben’s new affirmation of photosynthesis as a source of food for the plant. This is further elaborated as he indicates during Clinical Interview 6 that photosynthesis is the “getting together” of food sources for the plant. He states: 129 It is water, air, and light all going in and getting together, cause photo means light and synthesis means combining air and water, so when you do that all three of those are food sources for plants. When it is in the dark it can’t have photosynthesis because it only has air and water. It is a process in which the food sources for the plant are combined; an action involving the mixing of food sources. The evidence indicates that he seems to believe that photosynthesis is a mixture of water, air, and light; that it is “stuff,” not a process involving change (see Figure 18). Ben continues to believe food for plants is something they take in. What is taken in is nutrients from the soil, air, water and light. He also continues to believe that the role of light is to provide plants with the extra nutrients needed to make chlorophyll. He views plants as needing chloro- phyll to be green and to live. This has followed out of the empirical evidence that plants need light to be green. The central change for Ben during chapter six was his inclusion of photosynthesis in his conceptual framework. While the concept of photo- synthesis was “invented” at the conclusion of chapter five following the grass experiment; it was not until Lesson 6.7 that Ben began to use the con- cept to explain phenomena he had observed. His view of food for plants continued throughout this period to be formed around raw materials (water, fertilizer, air, and light) which contain nutrients that plants take in. However, attention is focused on Ben’s idiosyncratic conception of the nature of photosynthesis. His addition of photosynthesis seems to involve a view similar to that which he developed for the cotyledon feeding the plant; a mechanism for transmitting food. He does not view plants as making their food, but rather as engaging in a taking in process and “putting together”; there is no 3.5:...me mam—owofiosgma 2.... ..c 5583.583 5395.35-32. 65 ..o 31.8.. o... mm. :25 2. .b.@ :88. m... -325. v.8 mini. 33... EcoSSSm one... .m 26.23.: 1.8.50 9:2... BaoEBSm whom Ex... cums; m. as... 38:8 $55 552 EHUZOU ZOEODMBQAOBQE .2 EOE use... 19.3....Oocm 13v omen—305m 3...... I' 2.285.... .3... .83.. no...» OOH—don 2... cocoa—.35.. =bfi9829 gamma 2on 5.52.5 VW—Zdwumh acomm 131 change in materials. Thus, the function of photosynthesis is in terms of the role of each of the mixed elements. W- The group data shows that most of the students (62%), including Ben, were unsure prior to instruction as to whether plants make their food (see Figure 19). Few students (14%) believed that plants make their food while 24% of the subjects held to the belief that plants do not make their food. Eighty-one percent of the subjects, including Ben, believed that plants take in their food. Following instruction those believing that plants make their food in- creased to forty—eight percent. Most of those who held this belief (60% of those believing plants make food) were unsure prior to instruction. Twenty- three percent of those who were unsure prior to instruction, including Ben, came to believe plants do not make their food. It is interesting to note that prior to instruction those who believed plants make their food were not aware of the importance of light; they re- sponded that plants make food in light or dark (see Figure 20). Following instruction only one of these students conceptualized the importance of light. Only one student showed evidence of believing that plants make their own food using light, air, and water. Wham The selection of three conceptual changes identified in Phase I which were thought to merit further study was followed by an analysis which was revealed in the previous sections. The preceding analysis of those changes focused upon the description of classroom occurrences, as well as teacher and student actions, emphasizing those aspects of instruction which were identified as being directly relevant to those changes identified in Phase I. Each case focused upon the instructional activities associated with one of 6.33252: .33 v.3 9.83 v8. .0» 3......— 39— v9.3? .353... 88.320 3...— ..32? «2.5 .909m .35 @9245 3cm .5 95m; §F5=> §gm QEMMmm< MAUQMABOZM .mN guy—h mZOmmMA WA. .A. .A. 8 o .2 o o o o 0 AA .A A. A. A). A. A A A A A «M M M «M M A A A A mm w .. 2 A. 2...... m. A as. as. use 35... ..e ..8... o .2 z o «o < m A A S «M aM M M «M . 8 .3228: so... ..8. MN a mu :0... a. 3.3 as. 2.23 35... 3. A2 A A 3...... 2m: “Snags. a. .5... 5.3 o m .s... 3.2: as. 2.23 35... M o A m . . . . . . . . . . . mg... . A no a 20 2 Z 3 ...o 3 an 20.3.... a. .m «6.3:... .. 2.. 229598.... 145 period to be formed around raw materials (i.e., water, fertilizer, air, and light) which contain nutrients that plants take in. The concepts present in the preconception representation have been retained yet with the addition of several new concepts; cotyledon, chlorophyll and photosynthesis (see Figure 23). Ben previously indicated a belief that food for plants is “fertilizer” taken in from several forms of matter. He now conceptualizes food acquisi- tion for plants to include the cotyledon as a source as well. He has assimilated the idea that the cotyledon provides food or is a source of food in terms of the cotyledon being a mechanism for collecting and transmitting food for the young plant. He also continues to believe that the role of light is to provide plants with the extra nutrients needed to make chlorophyll. The knowledge as- serted following the completion of Chapter 6 reflects Ben’s new affirmation of photosynthesis as a source of food for the plant. This is further elabo- rated as he indicates that photosynthesis is the “getting together” of food sources for the plant. The evidence indicates that he seems to believe that photosynthesis is a mixture of water, air, and light; that it is “stuff,” not a process involving change. It is a process in which the food sources for the plant are combined; an action involving the mixing of food sources. His addition of photosynthesis seems to involve a view similar to that which he developed for the cotyledon feeding the plant; a mechanism for transmitting food. He does not view plants as making their food, but rather as engaging in a tak- ing in process and “putting together”; there is no change in materials. 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