This dissertation includes three separate but related studies that examine the different dimensions of student experiences in science using data from two different datasets: the High School Longitudinal Study of 2009 (HSLS:09), and a dataset constructed using the Experience Sampling Method (ESM). This mixed-dataset approach provides a unique perspective on student engagement and the contexts in which it exists. Engagement is operationalized across the three studies using aspects of flow theory to evaluate how the challenges in science classes are experienced at the student level. The data provides information on a student’s skill-level and efficacy during the challenge, as well as their interest level and persistence. The data additionally track how situations contribute to optimal learning moments, along with longitudinal attitudes and behaviors towards science.In the first part of this study, the construct of optimal moments is explored using in the moment data from the ESM dataset. Several different measures of engagement are tested and validated to uncover relationships between various affective states and optimal learning experiences with a focus on science classrooms. Additional analyses include investigating the links between in the moment engagement (situational), and cross-situational (stable) measures of engagement in science.The second part of this dissertation analyzes the ESM data in greater depth by examining how engagement varies across students and their contextual environment. The contextual characteristics associated with higher engagement levels are evaluated to see if these conditions hold across different types of students. Chapter three more thoroughly analyzes what contributes to students persisting through challenging learning moments, and the variation in levels of effort put forth when facing difficulty while learning in science. In chapter four, this dissertation explores additional outcomes associated with student engagement in science using the results for chapters two and three to identify aspects of engagement and learning in science. These findings motivate a set of variables and analytic approach that is undertaken in chapter four. Specifically, the questions how engagement influences experiences in ninth grade science and students' interest in pursuing a career in STEM using the HSLS:09 data.This multifaceted study contributes to the conceptualization of student engagement, and will help bring clarity to the relationship among engagement, context, and long-term outcomes in science. Engagement is more than being on-task or paying attention, but is a condition influenced by many factors including student background, the learning context of the classroom, teacher characteristics, and the features of instruction. Understanding this relationship between engagement and contextual factors is helpful in uncovering teacher actions and instructional activities that may elicit higher engagement in science classes. These findings highlight the importance of science instruction using more cognitively-demanding activities, such as problem-based learning.
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