courses that utilize active learning methodologies and educational technologies. In addition, she develops and delivers faculty development programming, such as workshops, lunch and learns, and special events related to teaching. ©American Society for Engineering Education, 2025 WIP: The Evolution of an Engineering Mathematics Course: Integrating Student Feedback in Design and ImplementationAbstractA two-course sequence in engineering mathematics was developed at the University of Miami’sCollege of Engineering as part of a broader curriculum initiative to integrate linear algebra,vector calculus, and differential equations with an emphasis on engineering applications. Theredesign was driven by
LAU’s strategic plan and launching new programs such as Engineering PreMed and Chemical Engineering. A Professor of Mechanical Engineering, he has led ABET accreditation renewals, curriculum modernization, and major lab expansions. His research focuses on turbulence modeling and CFD for wind energy. He holds degrees from METU and Lehigh University and serves as an ABET evaluator representing ASME.Dr. Pierre Rahme, Lebanese American University Dr. Pierre Rahme is an associate professor of Mechanical Engineering and the director of the VIP Program at the Lebanese American University (LAU). He holds a Ph.D. in Mechanical Engineering from the University of Toulouse. He is a member of the American Society of Mechanical
within their curriculum. Byincreasing diversity within the discipline, emerging engineers will have broader perspectives onproblems leading to better engineering solutions. In 2018, researchers at MIT published a studyaddressing the racial bias seen in a commercially available facial recognition software. Theyfound that the software had a 34.7% error rate when analyzing “darker-skinned females” butonly had an error rate of only 0.8% for “lighter-skinned males” [18]. This example is one ofmany that highlight how lacking diversity when considering a problem leads to poor design.Dewsbury et al. suggests educators adopt inclusivity into their classroom, which he defines as“an intentional practice of recognizing and working to mitigate biases that
immersive, interactive learning spaces that simulate real-worldengineering challenges. By enabling students to apply theoretical concepts dynamically, VEs canenhance cognitive, psycho-motor, and affective skills. Previous research has demonstrated thepotential of VEs to improve engagement and learning outcomes, but their comparativeeffectiveness against traditional learning methods remains underexplored in online engineeringeducation. This study addresses this gap by integrating VEs into the curriculum and assessingtheir impact on student engagement and retention [1,2].In recent advancements, the concept of representation learning has gained significant attentionfor its ability to automatically learn useful features or representations from raw data
Paper ID #47229Student Supports and Instructor Transparency Identified in Engineering Syllabiover Nine SemestersGracie Kerr, University of Nebraska - Lincoln Gracie Kerr is a senior undergraduate student studying civil engineering and mathematics at the University of Nebraska-Lincoln (UNL). She has worked as an undergraduate research assistant under Dr. Grace Panther and Dr. Heidi Diefes-Dux in the Engineering Education Research department at UNL for the past two years, with her research primarily focused on instructor adaptability and student supports in engineering undergraduate courses. Following her undergraduate
in computer science.Celina Anwar, University of Illinois at Urbana - Champaign Celina Anwar is an undergraduate student majoring in Computer Science. She is currently conducting research under Dr. Pablo Robles-Granda and is interested in the intersection of machine learning, health, and education.Shivi Narang, University of Illinois at Urbana - Champaign Shivi Narang is an undergraduate student pursuing Computer Science and Bioengineering at the University of Illinois at Urbana-Champaign. She is currently involved in research with Dr. Pablo Robles Granda, exploring how machine learning can be applied at the crossroads of healthcare and education.David Dalpiaz, University of Illinois Urbana-ChampaignProf. Lawrence
alternative grading, entrepreneurial mindset, instructional laboratories, and equity-focused teaching. She teaches biomedical instrumentation, signal processing, and control systems. She earned a Ph.D. in Systems Engineering from the University of Illinois Urbana-Champaign, an M.S. in Electrical Engineering from Iowa State University, and a B.S. in Electrical Engineering from Rose-Hulman Institute of Technology. ©American Society for Engineering Education, 2025 Working Effectively with Your Teaching Team: Tips and Tricks from Laboratory and Design Course InstructorsIntroductionEffective implementation of college classes, particularly at larger institutions, relies on thesupport
(MoMoTech). Heidelberg: Springer.[15] van Tuijl, C., & van der Molen, J. H. W. (2016), Study choice and career development inSTEM fields: An overview and integration of the research. International Journal of Technologyand Design Education, 26(2), 159–183. https://doi.org/10.1007/s10798-015-9308-1[16] Krüger, H. (1992), Vorberufliche Sozialisation. German Journal of Research in HumanResource Management, 318-341.[17] Ivemark, B., & Ambrose, A. (2021), Habitus Adaptation and First-Generation UniversityStudents’ Adjustment to Higher Education: A Life Course Perspective. Sociology of Education.https://doi.org/10.1177/00380407211017060[18] Papadakis, S., Vaiopoulou, J., Sifaki, E., Kalogiannakis, M., & Stamovlasis, D. (2021).Attitudes towards
design activities with authentic engineering contexts; the design and implementation of learning objective-based grading for transparent and fair assessment; and the integration of reflection to develop self-directed learners.Anu Singh, The Ohio State University Anu Singh is a Ph.D. student in Engineering Education Research at the University of Nebraska-Lincoln. She completed her M.Tech in Digital Communication and her B.Tech in Electronics and Communication Engineering in India. Her research interests include self-regulation, metacognition, reflection, and argumentative writing in engineering.Euclides Maluf, University of Nebraska - Lincoln The author is an experienced Industrial Engineer with a minor in Occupational
small enrollment, e.g. an elective courseor a graduate course, the courses students register in will have smaller overlaps and the value ofthe course registration data might be less. This tool might also be more useful for new facultywho might not be familiar with the curriculum. She mentioned that instructors who are familiarwith the contents of various courses might identify the connections between courses easily byknowing only the titles of the courses, but it might be challenging for instructors who are notfamiliar with the content of other courses. Thus, she suggested an improvement to show theconnections between courses by content overlap.The second interviewee is a lecturer. He teaches an upper level course where students havediverse