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  1. This complete research paper details an investigation into the influence of instructors' pedagogical knowledge on their classroom practices in the context of teaching first-year engineering courses. Background and Motivation: First-year engineering courses serve as the foundational setting in which students are introduced to the field of engineering as well as the pedagogies specific to engineering teaching and learning. These courses are pivotal in equipping students with essential knowledge and skills, setting the stage for their success in more advanced engineering topics. Understanding how instructors' pedagogical knowledge affects their teaching practices is crucial. Pedagogical knowledge encompasses a wide range of techniques to effectively manage a classroom and engage students. This includes the use of instructional strategies that cater to diverse student needs, the design of impactful and engaging lesson plans, etc. There is, however, limited research on how instructors’ pedagogical knowledge influences their classroom practices in first-year engineering courses. Hence, it seems opportune and essential to conduct additional research on engineering instructors' classroom practices. Research Question: The central question driving this research is: How does instructors' pedagogical knowledge influence their pedagogical practices for first-year engineering courses? Method: For this study, we chose the model of teacher professional knowledge and skill (TPK&S) that includes pedagogical content knowledge (PCK). The model recognizes the fundamental importance of pedagogical knowledge and contextualizes PCK within that framework, encompassing the intricate nature of teaching and learning. A descriptive case study was utilized as a methodology for this work to delve into the phenomenon. The context of the study was a first-year introductory engineering course offered at a large public research institution. This is a pilot study for an NSF-funded project (blinded for review), the study involved two instructors, Chandler and Joey (pseudonyms), chosen through purposive sampling, with varying levels of teaching experience. Data collection involved direct classroom observation using the Teaching Dimensions Observation Protocol (TDOP) and semi-structured interviews conducted after the observations. The interviews were conducted after classroom observations, allowing the researcher to explore specific findings from the observations. Results: Thematic analysis was used to categorize the data based on the constructs of the theoretical framework. The analysis revealed three major themes: (a) Instructors' topic-specific professional knowledge significantly influences their pedagogical practices. Both instructors adapt their teaching methods based on their understanding of course material and students' difficulties. (b) The interaction between instructors' personal pedagogical content knowledge (PCK) and the classroom context shapes their classroom practices. (c) Instructors' beliefs and prior knowledge act as amplifiers or filters based on the situation. They filter out their teaching practices that do not align with their beliefs and prior knowledge. Conclusion: The findings presented in this paper provide valuable insights into the complex interplay between instructors' pedagogical knowledge and their classroom practices. This work holds significant implications for current and future first-year instructors in that this paper will showcase how instructors use their understanding of the content and their students to teach, which is a critical aspect of helping students successfully integrate into engineering. 
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    Free, publicly-accessible full text available June 23, 2025
  2. Free, publicly-accessible full text available June 23, 2025
  3. Engineering education research has long been rich in behavioral observations and inquiries. These investigations span a range of levels, from individual behaviors to group dynamics to organizational influences. Such behavioral research delves into the complex interplay of behaviors and actions, exploring their origins and impacts on educational environments and structures. Topics encompass learning, identity development, engagement, and professional practices, among others, that benefit from understanding behavioral choices and their underlying motivations. Ultimately, behavioral research in engineering education aids in comprehending and predicting how individuals operate, form habits, and transform themselves and their surroundings through their chosen actions. Regrettably, behavioral research in engineering education has traditionally relied on a limited set of frameworks, like EVT, SDT, and self-efficacy, thereby restricting the analytic depth of behavioral choice. These frameworks primarily focus on whether individuals feel they can perform a certain behavior or which behaviors are most salient in given situations while overlooking the justifications, or the why, that drive behavioral choices – a critical aspect of the complete picture. Justifications are important; behaviors are context-specific and dynamic, closely tied to an individual's interpretations of their surroundings, expectations, self-concept, and goals, among other factors. Therefore, understanding why behaviors are performed yields a more nuanced image that combines these influences with their eventual outcomes. In an effort to explore behavioral choices and investigate why they are, or are not, performed, this paper presents the Reasoned Action Approach (RAA) framework. This approach emphasizes the pivotal role of intention in individuals' behavioral choices. It proposes that personal beliefs, norms, and abilities are the key determinants of intentionality. Whether or not an individual performs a behavior is therefore contingent upon their beliefs about performing the behavior, specifically their behavioral, normative, and control beliefs. These beliefs reveal their feelings toward a behavior, their expectations of social acceptability, and their perceived capability to execute the behavior. As a result, the RAA transcends contextual constraints and can be applied to a wide spectrum of behaviors, environments, and systems, shedding light on how individuals perceive actions and decide whether to act upon them. We introduce the RAA to offer engineering education research a substantive theory for extracting and investigating the determinants behind individuals' preferential behaviors. Further, the RAA broadens existing behavioral analysis by emphasizing the factors behind behavioral choices, specifically focusing on the intricate interplay between beliefs and social norms in the decision-making process. In this context, the RAA represents a distinctive and novel approach to conceptualizing behavior, which will benefit fellow researchers. This paper begins with a review of pertinent engineering and higher education literature to situate the RAA within similar behavioral choice studies. It then explores the components of the RAA, delving into their significance and implications. The paper concludes with select research both within and beyond the engineering education domain to underscore the applicability, utility, and relevance of the RAA and provide examples for future inquiries. 
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    Free, publicly-accessible full text available June 23, 2025
  4. This lessons learned paper delves into the realm of effective student-centered teaching practices within middle and upper-level engineering classes, with the primary goal of enhancing students' acquisition of disciplinary knowledge. The research is anchored by a central inquiry: what student-centered teaching approaches do exemplary engineering faculty employ to promote knowledge-building in their courses, and how do these approaches align with their beliefs about teaching? To address the research question, the study employed the participatory action research (PAR) methodology, which prioritizes the invaluable input and expertise of participants. A diverse group of participants renowned for their teaching excellence was selected from five departments. A total of ten participants were chosen, and data was collected using a variety of methods, including classroom observations, analysis of course materials, surveys, and focus group discussions. Our observations across various courses have revealed common practices employed by instructors to foster effective learning environments. These practices encompass dynamic and diverse class introductions that utilize strategies like revisiting prior content, storytelling, and addressing student well-being to establish a strong foundation for the session. Throughout the class, instructors consistently maintained student engagement through techniques such as group activities, structured interactions, active problem-solving, and thought-provoking question-and-answer sessions. Visual aids and technology were integral in enhancing content delivery. Instructors also ensured the content was relatable by linking lessons to research findings, relatable examples, and familiar landmarks, grounding theoretical concepts in real-life relevance. Personalized support was a priority, with instructors offering targeted feedback to smaller groups and individual students, including one-on-one sessions for additional assistance. Some instructors introduced unique practices such as debate activities, involving students in decision-making processes, cross-course connections, and specialized problem-solving techniques. These diverse approaches collectively underscore the multifaceted strategies instructors employ to create engaging and effective learning experiences. Another significant initiative undertaken in our study involved organizing a summer workshop that provided a platform for instructors to convene and engage in collaborative discussions regarding their teaching practices and their top five teaching priorities. During this workshop, we also deliberated on the preliminary findings from our data collection. The instructors collectively emphasized the importance of getting students engaged in the learning process. We identified several overarching categories of priorities that held relevance for all instructors, including the establishment of personal relationships with students, the effective organization of course content and class activities, strategies for motivating students, and the integration of course content with real-world applications. During the lightning talk, we will share a comprehensive overview of the study's research findings as well as the importance of student-centered teaching practices in engineering education. 
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    Free, publicly-accessible full text available June 23, 2025
  5. This project explores the collaborative skills occurring within engineering education and practice. While technical competence is crucial, collaborative skills are paramount in engineering enterprises, and current evidence suggests working in teams does not ensure the development of effective collaboration behaviors among engineers. Yet, lifelong learning requires engineers to navigate complex interactions within diverse design teams, emphasizing the need for a nuanced understanding of collaboration. To address this gap, our study aims to identify the least-performed effective collaboration behaviors in engineering capstone teams and explore the reasons behind this occurrence. This investigation is part of a larger study that employs the Reasoned Action Approach1 where we seek to uncover individual beliefs and factors influencing the performance of target behaviors. These insights serve as tools for engineers, students, educators, and managers to assess and enhance collaboration skills, fostering effective teamwork in engineering settings. Ultimately, this overarching goal of advancing professional formation in engineering distills into the key question: Why do individuals exhibit variations in performing effective collaboration behaviors in engineering teams? 
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    Free, publicly-accessible full text available June 3, 2025
  6. Abstract In undergraduate engineering programs, recent emphasis has been placed on a more holistic, interdisciplinary approach to engineering education. Some programs now teach product design within the context of the market, extending the curriculum to topics outside of scientific labs and computational analysis. However, it is unknown to what extent engineering students already understand the systems and contextual factors associated with product design, and also what characteristics or experiences have led students to these ways of thinking. This study analyzes survey and concept map data collected from 154 students in a third-year engineering design course. The aim is to understand how student backgrounds and experiences influence their mental models of product design. Data were gathered from surveys on student backgrounds and experiences, along with concept maps that were generated by the students at the beginning of a product design course. The concept maps were analyzed in a quantitative manner for structural and thematic elements. The findings show that several background attributes influence student conceptions of product design. Academic major appeared to have the largest impact on a variety of variables. Additionally, prior work experience, enrollment in a master’s program, and the presence of an engineering role model at home all showed significant impacts on design conceptions. By analyzing and understanding how the unique backgrounds of students lead to differences in thought, educators can adjust their curricula to more effectively teach design concepts to students of various backgrounds and experiences. 
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  7. Abstract

    In undergraduate engineering programs, recent emphasis has been placed on a more holistic, interdisciplinary approach to engineering education. Some programs now teach product design within the context of the market, extending the curriculum to topics outside of scientific labs and computational analysis. This study analyzes survey and concept map data collected from 154 students in a third-year engineering design course. The aim is to evaluate the impacts of student backgrounds and experiences on their mental models of product design. Data were gathered from surveys on student backgrounds and experiences, along with concept maps that were generated by the students on the first day of a product design class. The concept maps were analyzed in a quantitative manner for structural and thematic elements. The findings show that several background attributes influence student conceptions of product design. Academic major appeared to have the largest impact on a variety of variables. Additionally, prior work experience, enrollment in a master’s program, and the presence of an engineering role model at home all showed significant impacts on design conceptions. By analyzing and understanding unique backgrounds of students, educators can adjust their curricula to more effectively teach design concepts to students of various backgrounds and experiences.

     
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  8. Generally, the focus of undergraduate engineering programs is on the development of technical skills and how they can be applied to design and problem solving. However, research has shown that there is also a need to expose students to business and society factors that influence design in context. This technical bias is reinforced by the available tools for use in engineering education, which are highly focused on ensuring technical feasibility, and a corresponding lack of tools for engineers to explore other design needs. One important contextual area is market systems, where design decisions are made while considering factors such as consumer choice, competitor behavior, and pricing. This study examines student learning throughout a third-year design course that emphasizes market-driven design through project-based activities and assignments, including a custom-made, interactive market simulation tool. To bridge the gap between market-driven design and engineering education research, this paper explores how students think about and internally organize design concepts before and after learning and practicing market-driven design approaches and tools in the context of an engineering design course. The central research question is: In what ways do student conceptions of product design change after introducing a market-driven design curriculum? In line with the constructivism framework of learning, it is expected that student conceptions of design should evolve to include more market considerations as they learn about and apply market-driven design concepts and techniques to their term projects. Four different types of data instruments are included in the analysis: Concept maps generated by the students before and after the course, open-ended written reflection assignments at various points in the semester, surveys administered after learning the market simulation tool and at the end of the course, and final project reports in which student teams listed their top 3-5 lessons learned in the course. Using the changes between the pre- and post-course concept maps as the primary metric to represent evolving design conceptions, data from the reflections, surveys, and reports are evaluated to assess their influence on such learning. Because market-driven design is a multi-faceted topic, a market-driven design is hierarchically decomposed into specific sub-topics for these evaluations. These include profitability (which itself encompasses pricing and costs), modeling and simulation, and market research (which encompasses consumers and competition). For each topic, correlation analyses are performed and regression models are fit to assess the significance of different factors on learning. The findings provide evidence regarding the effectiveness of the course’s market-driven design curriculum and activities on influencing student conceptions of design. 
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  9. null (Ed.)
    Design is a concept that means different things to different people. Even in the engineering design research community, there is little agreement on a consistent definition of design. This study looks into how engineering students understand product design, using a concept mapping exercise to elicit the key concepts and relationships present in their mental models. An analysis of concept maps from 130 third-year undergraduate engineering students shows how these students think about design, the common themes and relationships that are seen across the population, and variations across different groups of students. By understanding how students in the midst of ABET-accredited programs conceptualize design, conclusions can be drawn regarding the effectiveness of existing curricula in instilling a complete understanding of holistic product design. This can lead to recommendations regarding future engineering design learning objectives, teaching materials, and activities. 
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