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1. Project-Based Learning: Contrasting Experience Between Traditional Face-to-Face Instruction and Virtual Instruction

   Dofe, J.; Kurwadkar, S. (July 2021, 2021 ASEE Virtual Annual Conference)

   null (Ed.)

   The Introduction to engineering (EGGN-100) is a project-based course offered every fall semester to first-year students with undecided engineering majors at California State University, Fullerton (CSUF). The primary objective of this course is to provide project-based learning (PBL) and introduce these students to major projects in Civil, Mechanical, Electrical, and Computer Engineering projects so that they can make an informed decision about their major. The PBL is an active learning method that aims to engage students in acquiring knowledge and skills through real-world experiences and well-planned project activities in engineering disciplines. The course comprises four team-based unique projects related to Civil, Mechanical, Electrical, and Computer Engineering. The project involves using a variety of engineering tools like AutoCAD, Multisim, and Arduino platforms. For the first time, due to the COVID-19 pandemic, the hands-on project-based EGGN-100 course was offered virtually. In this research, we document the learning experiences of students who attended EGGN-100 in a traditional face-to-face mode of instruction and students who participated in the same course in a virtual instruction mode. Surveys conducted during seemingly different modes of instruction show varying levels of satisfaction among students. Of the students who attended the course in traditional and instructional instruction mode, 69% and 90% responded that discipline-specific projects enabled them to make an informed decision, and PBL helped them choose their preferred major. Even the percentage of students who believed the PBL helped them make an informed decision about their major, they like to do more hands-on projects and prefer to attend the classes on campus. Students rated higher satisfaction in virtual instructional mode primarily due to the availability of video lectures, self-paced learning, and readily accessible project simulations. Learning by doing would have bought out the challenges and minor nuances of designing and executing an engineering project. Learning by watching is surficial and not necessarily exposes students to minor details that are critical. As such, the significance of this study is that maybe, after all, not all courses can be taught in a virtual environment, and some courses may be strictly taught in a traditional, hands-on instruction mode. We also study the socio-psychological impact of traditional and virtual learning experiences and report the remedies to cope with stress and loneliness in the online learning environment. 

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2. Supporting and Identifying Student Agency and Holistic Growth in an Engineering Program

   Thompson, M S; Thomas, R; Tilsen, J; Cheville, RA; Thomas, S; Nickel, R (June 2025, American Society for Engineering Education)

   Traditional engineering curriculum and course structures prioritize preparing students for technical and logical reasoning skills that are intrinsic to becoming an engineer. While these skills are undeniably vital for an engineering career, these courses often fail to provide opportunities for students to explore skills that go beyond the traditional curriculum and classroom walls. In addition, course structures often reinforce the stereotypical narrative in engineering that there is a dichotomy between the social and technical aspects with the latter being more important. Preparing students for both social and technical sides of engineering, requires a reorganization of how learning environments are designed and how engineering programs and faculty evaluate how learning occurs. 

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3. Developing Computational Thinking in Middle School Music Technology Classrooms

   https://doi.org/10.1145/3626253.3635527  

   McCall, Lauren; Allen, Brittney; Freeman, Jason; Garrett, Stephen; Grossman, Sabrina; Paz, Jed; Edwards, Doug; McKlin, Tom; Lee, Taneisha (March 2024, ACM)

   To engage diverse populations of students who may not self-select into computing courses, a curriculum for a middle school music technology + computer science course that addresses learning standards for both subjects was developed and deployed. Students who engage with the curriculum learn modern music production techniques and computational thinking concepts. This is through a mix of traditional approaches to music technology education (digital audio workstations) and computational approaches via a culturally relevant learning platform that introduces students to coding through music production and remixing. This poster reflects on the last two years of curriculum design and deployment, teacher training, and student and educator engagement and feedback to provide insight into the teaching (and learning) of computational thinking in the music technology classroom. 

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4. Integrating resource-efficiency into photonics education: new course development and redefining design training for a holistic approach

   https://doi.org/10.1117/12.3076841  

   Serna, S; Liu, X; Nagarkar, P; Ono, T; Huttner, E; Unger, B; Saini, S; Kimerling, L; Agarwal, A (July 2025, SPIE)

   Kallepalli, Akhil (Ed.)

   As the semiconductor and photonics industries grapple with mounting business pressures, weaving resourceefficiency into engineering education has evolved from a priority to an imperative. Under the umbrella of FUTUR-IC, this paper highlights novel pedagogical strategies at Bridgewater State University (BSU) aimed at equipping photonics and optical engineers to address today’s ecological challenges. We detail two complementary approaches that together form a cohesive educational framework. The first involves a newly introduced fresh year-level seminar on Resource Efficient Microchip Manufacturing, which immerses students in resource-efficiency metrics such as Life Cycle Intelligence and “design for resourceefficiency” principles. By interlinking photonic integration concepts with tangible business impact assessments, this course fosters an early appreciation of how advanced technologies can be developed responsibly, with reduced energy consumption and minimized waste. The second approach redefines senior-level engineering design courses to embed multifaceted resourceefficiency criteria in the design process. Through project-based learning and collaboration with industry partners, students integrate photonic solutions with data-driven metrics, refining their ability to propose holistic prototypes. These initiatives go beyond technical mastery to cultivate interdisciplinary collaboration and critical thinking. This work illustrates how an integrated approach to engineering education can spark the next generation of practitioners to design for both technological excellence and business viability. 

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5. Factors Influencing Course Withdrawal in Fundamental Engineering Courses in a Research 1 University

   Woods, J.C.; Chowdhury, T.M.; Murzi, H.; Soledad, M; Knight, D.B.; Grohs, J.R.; Case, S.W.; Smith, N. (June 2019, ASEE Annual Conference proceedings)

   Engineering students develop competencies in fundamental engineering courses (FECs) that are critical for success later in advanced courses and engineering practice. Literature on the student learning experience, however, associate these courses with challenging educational environments (e.g., large class sizes) and low student success rates. Challenging educational environments are particularly prevalent in large, research-intensive institutions. To address concerns associated with FECs, it is important to understand prevailing educational environments in these courses and identify critical points where improvement and change is needed. The Academic Plan Model provides a systematic way to critically examine the factors that shape the educational environment. It includes paths for evaluation and adjustment, allowing educational environments to continuously improve. The Model may be applied to various levels in an institution (e.g., course, program, college), implying that a student’s entire undergraduate learning experience is the result of several enacted academic plans that are interacting with each other. Thus, understanding context-specific factors in a specific educational environment will yield valuable information affecting the undergraduate experience, including concerns related to attrition and persistence. In order to better understand why students are not succeeding in large foundational engineering courses, we developed a form to collect data on why students withdraw from certain courses. The form was included as a requirement during the withdrawal process. In this paper, we analyzed course withdrawal data from several academic departments in charge of teaching large foundational engineering courses, and institutional transcript data for the Spring 2018 semester. The withdrawal dataset includes the final grades that students expected to receive in the course and the factors that influenced their decision to withdraw. Institutional transcript data includes demographic information (e.g., gender, major), admissions data (e.g., SAT scores, high school GPA), and institutional academic information (e.g., course grades, cumulative GPA). Results provide a better understanding of the main reasons students decide to withdraw from a course, including having unsatisfactory grades, not understanding the professor, and being overwhelmed with work. We also analyzed locus of control for the responses, finding that the majority of students withdrawing courses consider that the problem is outside of their control and comes from an external source. We provide analysis by different departments and different specific courses. Implications for administrators, practitioners, and researchers are provided. 

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