The purpose of this dissertation is to investigate how educational research, specifically Research-Based Instructional Strategies (RBIS), is adopted by education practice, specifically within the engineering Statics classroom. Using a systematic approach, changes in classroom teaching practices were investigated from the instructors\' perspective. Both researchers and practitioners are included in the process, combining efforts to improve student learning, which is a critical goal for engineering education. The study is divided into 3 stages and each is discussed in an individual manuscript. Manuscript 1 provides an assessment of current teaching practices; Manuscript 2 explores RBIS use by Statics instructors and perceived barriers of adoption; and Manuscript 3 evaluates adoption using Fidelity of Implementation. <br /><br />A common set of concurrent mixed methods was used for each stage of this study. A quantitative national survey of Statics instructors (n =166) and 18 qualitative interviews were conducted to examine activities used in the Statics classroom and familiarity with nine RBIS. <br /><br />The results of this study show that lecturing is the most common activity throughout Statics classrooms, but is not the only activity. Other common activities included working examples and students working on problems individually and in groups. As discussed by the interview participants, each of Rogers\' characteristics influenced adoption for different reasons. For example, Complexity (level of difficulty with implementation of an RBIS) was most commonly identified as a barrier. His study also evaluated the Fidelity of Implementation for each RBIS and found it to be higher for RBIS that were less complex (in terms of the number of critical components). Many of the critical components (i.e. activities required for implementation, as described in the literature) were found to statistically distinguish RBIS users and non-users. <br /><br />This dissertation offers four contributions: (1) an understanding of current ractices in Statics; (2) the instructor perspective of the barriers to using RBIS in the classroom; (3) the use of Fidelity of Implementation as a unique evaluation of RBIS adoption, which can be used by future engineering education researchers; and (4) a systematic approach of exploring change in the classroom, which offers new perspectives and approaches to accelerate the adoption process.<br /> / Ph. D.

The overall goal of this study was to better understand how the academic system affects change in instructional practices, referred to as instructional change, in engineering education. To accomplish this goal, and acknowledging the complex nature of academia, I used a technique designed to understand complex systems called System Dynamics Modeling. With such technique, I created a conceptual System Dynamics Model (SDM) that illustrates how the factors in the academic system interact dynamically to drive or hinder faculty motivation to adopt Research-based Instructional Strategies (RBIS) in their courses. The creation of this model followed a process that combined research literature with data gathered from 17 professors at an Engineering Department in another country. The model was constructed through an iterative process of systematically reviewing the literature, gather empirical data and creating Causal Loop Diagrams (CLD). The CLD are representations of the different causal relationships between elements in a system which ultimately create what we called virtuous or vicious (reinforcing) cycles and balancing cycles. The whole idea was not to find the causes for professors' motivation to change but how the factors in the academic system reinforce or limit such motivation. With this model I offered a different answer to the calls for change in engineering education toward increasing the pedagogical quality of our learning environments. My biggest argument is that previous instructional change initiatives have yielded low to moderate success, because effective instructional change would require a perspective that accounts for the complex nature of academia. With this study I am providing a different understanding of instructional change by using a system perspective that shows the interactions of elements within a complex system that ultimately influences faculty to adopt RBIS in their courses. / Doctor of Philosophy / The overall goal of this study was to better understand how the academic system affects change in instructional practices, referred to as instructional change, in engineering education. To accomplish this goal, and acknowledging the complex nature of academia, I used a technique designed to understand complex systems called System Dynamics Modeling. With such technique, I created a conceptual System Dynamics Model (SDM) that illustrates how the factors in the academic system interact dynamically to drive or hinder faculty motivation to adopt Research-based Instructional Strategies (RBIS) in their courses. The creation of this model followed a process that combined research literature with data gathered from 17 professors at an Engineering Department in another country. The model was constructed through an iterative process of systematically reviewing the literature, gather empirical data and creating Causal Loop Diagrams (CLD). The CLD are representations of the different causal relationships between elements in a system which ultimately create what we called virtuous or vicious (reinforcing) cycles and balancing cycles. The whole idea was not to find the causes for professors’ motivation to change but how the factors in the academic system reinforce or limit such motivation. With this model I offered a different answer to the calls for change in engineering education toward increasing the pedagogical quality of our learning environments. My biggest argument is that previous instructional change initiatives have yielded low to moderate success, because effective instructional change would require a perspective that accounts for the complex nature of academia. With this study I am providing a different understanding of instructional change by using a system perspective that shows the interactions of elements within a complex system that ultimately influences faculty to adopt RBIS in their courses.

Not only is Quantum Mechanics (QM) conceptually rich, it is also a theory that physics students have found abstract and technically formidable. Nevertheless, compared to other classical topics of physics, university students’ understanding of QM has received minimal attention in the physics education literature. The principal purpose of this study was to characterize the variation in the ways that undergraduate physics students depict the basic concepts of QM and to extrapolate the results to scaffold possible changes to instructional practices at the university that provided the context for the study. In so doing, an adaptation of a developmental phenomenographic perspective was chosen. Empirically, the study was approached through in-depth interviews with 35 physics students from two Ethiopian governmental universities after they had been exposed to the traditional QM course for one-third of a semester. Interview responses were analyzed using phenomenographic approach where a picture of students’ depictions was established for each quantum concept by expounding the given responses. For each basic quantum concept addressed, the structure of the description categories was separately constructed, and overall, it was found that naive, quasi-classical ontology and/or variants of classical ways of visualization are dominant in students’ responses. For example, it was found that students’ depictions of the photon concept could be described with three distinct categories of description, which are (a) classical intuitive description, (b) mixed model description and (c) quasi-quantum model description. Similarly, the findings revealed that it is possible to establish three qualitatively different categories of description to picture students’ depictions of matter waves, namely, (a) classical and trajectory-based description, (b) an intricate blend of classical and quantum description and (c) incipient quantum model description. Likewise, it was found that students’ depictions of uncertainty principle can be described as: (a) uncertainty as classical ignorance, (b) uncertainty as measurement disturbance and (c) uncertainty as a quasi-quantum principle. With regard to learning QM, the categories of description made clear several issues: most students did not have enough knowledge to depict the basic concepts of QM properly; they were influenced by the perspective of classical physics and their perceptions in making explanations about QM; and they also applied mixed ideas, one based on their classical model and the other from newly introduced QM. These results are also supported by the findings of previous studies in similar domains. Findings from the study were used to guide the design of multiple representations-based instructions and interactive learning tutorials on the conceptual aspects of QM that has been shown to address specific difficulties identified in the study. Theoretical and practical implications of the study, as well as potential future considerations are drawn. / Mathematics, Science and Technology Education / D. Phil. (Mathematics, Science and Technology Education)

Not only is Quantum Mechanics (QM) conceptually rich, it is also a theory that physics students have found abstract and technically formidable. Nevertheless, compared to other classical topics of physics, university students’ understanding of QM has received minimal attention in the physics education literature. The principal purpose of this study was to characterize the variation in the ways that undergraduate physics students depict the basic concepts of QM and to extrapolate the results to scaffold possible changes to instructional practices at the university that provided the context for the study. In so doing, an adaptation of a developmental phenomenographic perspective was chosen. Empirically, the study was approached through in-depth interviews with 35 physics students from two Ethiopian governmental universities after they had been exposed to the traditional QM course for one-third of a semester. Interview responses were analyzed using phenomenographic approach where a picture of students’ depictions was established for each quantum concept by expounding the given responses. For each basic quantum concept addressed, the structure of the description categories was separately constructed, and overall, it was found that naive, quasi-classical ontology and/or variants of classical ways of visualization are dominant in students’ responses. For example, it was found that students’ depictions of the photon concept could be described with three distinct categories of description, which are (a) classical intuitive description, (b) mixed model description and (c) quasi-quantum model description. Similarly, the findings revealed that it is possible to establish three qualitatively different categories of description to picture students’ depictions of matter waves, namely, (a) classical and trajectory-based description, (b) an intricate blend of classical and quantum description and (c) incipient quantum model description. Likewise, it was found that students’ depictions of uncertainty principle can be described as: (a) uncertainty as classical ignorance, (b) uncertainty as measurement disturbance and (c) uncertainty as a quasi-quantum principle. With regard to learning QM, the categories of description made clear several issues: most students did not have enough knowledge to depict the basic concepts of QM properly; they were influenced by the perspective of classical physics and their perceptions in making explanations about QM; and they also applied mixed ideas, one based on their classical model and the other from newly introduced QM. These results are also supported by the findings of previous studies in similar domains. Findings from the study were used to guide the design of multiple representations-based instructions and interactive learning tutorials on the conceptual aspects of QM that has been shown to address specific difficulties identified in the study. Theoretical and practical implications of the study, as well as potential future considerations are drawn. / Mathematics, Science and Technology Education / D. Phil. (Mathematics, Science and Technology Education)