Conference Session

Tech Session 3: Emerging Trends in Engineering Education: AI, Clean Energy, and Curriculum Design

Collection

2025 ASEE Annual Conference & Exposition

Authors

Dayna Mandalyn Cline, United States Military Academy; David Zgonc, United States Military Academy at West Point; William B Vass, United States Military Academy; Michael A. Butkus P.E., United States Military Academy; Matthew Baideme, United States Military Academy; Brett Ryan Krueger, United States Military Academy

Tagged Divisions

Environmental Engineering & Sustainability Division (ENVIRON)

. 2024, doi: 10.3390/architecture4040046.[26] H. Zhang and R. Zhang, “Generative artificial intelligence (AI) in built environment design and planning – A state-of-the-art review,” Progress in Engineering Science, vol. 2, no. 1, p. 100040, Mar. 2025, doi: 10.1016/j.pes.2024.100040.[27] L. Sela, R. B. Sowby, E. Salomons, and M. Housh, “Making waves: The potential of generative AI in water utility operations.,” Water Res., vol. 272, p. 122935, Dec. 2024, doi: 10.1016/j.watres.2024.122935.[28] Y. Wu, M. Xu, and S. Liu, “Generative artificial intelligence: A new engine for advancing environmental science and engineering.,” Environ. Sci. Technol., vol. 58, no. 40, pp. 17524–17528, Oct. 2024, doi: 10.1021

Conference Session

First-Year Programs Division (FPD) Technical Session 10: Learning to Learn - Metacognition and Self-Regulated Strategies

Collection

2025 ASEE Annual Conference & Exposition

Authors

Elizabeth Flanagan, Clemson University; Grace F Crocker, Clemson University; Michael Joseph Kiernan, Clemson University; Joseph Overlin Chapa, Clemson University; Elizabeth Anne Stephan, Clemson University

Tagged Divisions

First-Year Programs Division (FPD)

what they discovered about the course content and course structureby creating their systems picture.For each section in the paper, students are generally penalized for missing required discussionitems, lacking depth in required discussions (minor penalty), or discussions that do notadequately address the project requirements (major penalty). For assessment purposes, theCategory and Influence sections are tied to course sub-outcome C02.a: Identify strategies usedby successful students through generating a “toolkit” of skills to enhance learning. The FutureWork section is tied to course sub-outcome C01.b: Explain reasoning behind interest inengineering as a major and develop long-terms goals as an engineering professional. TheSummary section is

Conference Session

Track 5: Technical Session 1: Evaluating the five pillars of a Summer Bridge Program and their influence on participants' intentions to complete an engineering degree

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Lorena Benavides-Riano, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

expectations about career paths and future roles in engineering aftercollege graduation.Purpose of the Study Given the necessity to have effective intervention programs such as Summer Bridge thatpromote URM participation in the STEM field, the study addresses the following researchquestion: 1) Does participation in the summer bridge program significantly increase a) self-efficacy, b) math outcome expectations, c) goal orientation, d) feeling of inclusion, e) knowledge of MSU and the engineering industry, and f) career success expectations among students? The current study hypothesized that participation in the SBP will positively influencestudents' self-efficacy levels, math outcome expectations, goal orientation, feeling of

Conference Session

Track 3: Technical Session 1: Bridging Educational Equity Gaps: A Systematic Review of AI-Driven Tools for Students Living with Disabilities in Engineering and STEM Education

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Kevin Zhongyang Shao, University of Washington; Denise Wilson, University of Washington; Eric Kyeong-Min Cho, University of Washington; Sophia Tang, University of Washington; Hanlin Ma, University of Washington; Sep Makhsous, University of Washington

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

Paper ID #45288Bridging Educational Equity Gaps: A Systematic Review of AI-Driven andNew Technologies for Students Living with Disabilities in STEM EducationKevin Zhongyang Shao, University of Washington Zhongyang (Kevin) Shao is currently a first-year Ph.D. student in Electrical and Computer Engineering (ECE) at the University of Washington, Seattle (UW). His research focuses on human-computer interaction and STEM education, particularly in developing user-centered, inclusive, and responsible AI technologies to enhance the accessibility and personalize learning for post-secondary STEM students. His current work

Conference Session

Engineering Technology Division (ETD) Technical Session 5

Collection

2025 ASEE Annual Conference & Exposition

Authors

Stephen Andrew Wilkerson P.E., York College of Pennsylvania; Yargo Teixeira Gomes de Melo, York College of Pennsylvania; Tamara Schwartz, York College of Pennsylvania; Dean Zeller, York College of Pennsylvania

Tagged Divisions

Engineering Technology Division (ETD)

adopted technology, where all faculty responders do use the technology as well asthe majority of students. (a) Faculty and panelists usage of AI 28.57% 42.86% 28.57% Daily Weekly Monthly Rarely Never (b) Students usage of AI 2.78% 5.56% 13.89% 27.78% 50.00% Daily Weekly Monthly Rarely NeverFigure 1. Survey response on AI usage by (a) faculty and panelists (b) students.The wide adoption of AI, however, comes without being paired with proper training on how touse AI responsibly. Figure 2 depicts the percentage of the surveyed student

Collection

2025 ASEE -GSW Annual Conference

Authors

Todd W Polk, University of Texas at Dallas; Robert Hart P.E., University of Texas at Dallas

deadline.Closing the Peer Evaluation LoopAfter each peer evaluation, the instructors analyze the ratings to assign individual grades. The ratingscale for all six questions is 1-5, with 5 corresponding to the top option (i.e., best performance). Foreach student, we average the ratings of their teammates for the six categories which gives us an overallpeer evaluation rating. Note that a student’s self-ratings are excluded. The result is an overall ratingof 1-5, with a rating of 3 being average. A rating of 3 equates to 85 points or a B on our scale.In addition, the instructors read all the comments to ensure they are professional and appropriate.Comments are edited as necessary. Once this step is complete, the evaluations are released back tothe students

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 11

Collection

2025 ASEE Annual Conference & Exposition

Authors

Benjamin Edward Chaback, Virginia Polytechnic Institute and State University; Lisa D. McNair, Virginia Polytechnic Institute and State University; David Gray, Virginia Polytechnic Institute and State University; Mark Vincent Huerta, Virginia Polytechnic Institute and State University; Ernesto Adolfo Cuesta Alvear, Virginia Polytechnic Institute and State University; Atlas Vernier, Virginia Polytechnic Institute and State University

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

& B. McMullin(eds.) Emerging issues in the practice of University Learning and Teaching, Dublin, All Ireland Society for Higher Education (AISHE).Escandell, S., & Chu, T. L. (2023). Implementing relatedness-supportive teaching strategies to promote learning in the college classroom. Teaching of Psychology, 50(4), 441-447.Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn?. Educational psychology review, 16, 235-266.Kolb, D. A. (2014). Experiential learning: Experience as the source of learning and development. FT press.Lattuca, L. R., Knight, D., & Bergom, I. (2013). Developing a measure of interdisciplinary competence. International journal of engineering education

Conference Session

Two-Year College Division (TYCD) Technical Session 2: Student Success and Support

Collection

2025 ASEE Annual Conference & Exposition

Authors

John Krupczak Jr, Hope College; David R Brown; Amy B Chan Hilton, University of Southern Indiana

Tagged Topics

Diversity

Tagged Divisions

Two-Year College Division (TYCD)

Paper ID #49164Approaches for Efficiently Identifying and Characterizing Student Need Assessmentsin Two-Year CollegesDr. John Krupczak Jr, Hope College Professor of Engineering, Hope College, Holland, Michigan. Program Officer, NSF (2013-2016). Past Chair of the ASEE Technological Literacy Division; Past Chair of the ASEE Liberal Education Division; Senior Fellow CASEE, National Academy of Engineering (2008-2010).David R BrownDr. Amy B Chan Hilton, University of Southern Indiana Amy B. Chan Hilton, Ph.D. is the Director of the Center for Excellence in Teaching and Learning and a Professor of Engineering at the University of

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Walter C. Lee, Virginia Polytechnic Institute and State University; David B Knight, Virginia Polytechnic Institute and State University

Tagged Topics

NSF Grantees Poster Session

Paper ID #46968BOARD # 405: NSF HBCU-UP: STEM Academy for Research and Entrepreneurshipat the University of Arkansas at Pine BluffDr. Walter C. Lee, Virginia Polytechnic Institute and State University Dr. Walter Lee is an associate professor in the Department of Engineering Education and the director for research at the Center for the Enhancement of Engineering Diversity (CEED), both at Virginia Tech.Dr. David B Knight, Virginia Polytechnic Institute and State University David Knight is a Professor in the Department of Engineering Education at Virginia Tech and also serves as Chief of Strategy in the College of Engineering

Conference Session

Track 5: Technical Session 2: Revisiting Assessment Tools Used to Measure the Impact of Summer Program Interventions on Perceptions and Interest in Engineering Among Underrepresented Pre-College Students – A Work in Progress

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Zeynep Ambarkutuk, Virginia Polytechnic Institute and State University; Jesika Monet McDaniel, Virginia Tech Department of Engineering Education; Cynthia Hampton Ph.D., Virginia Polytechnic Institute and State University; Kim Lester, Virginia Polytechnic Institute and State University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

changes in their short-term and long-term goals. The schedule ofsurveys for UPSILON specifically is included in Appendix B at the end of this work in progresspaper.Considerations Throughout the Evaluation ProcessThe considerations represented in this work in progress were the first time in multiple years thatthe scale, types, and coordination of assessment has been revisited in a more intentional way –especially post-shutdowns of 2020-2022. In revisiting the evaluation of the summer campsseveral key considerations were central to ensuring the effectiveness and accuracy of theassessments. We present the below categories that were essential in exploring: What changes andconsiderations are needed for documentation, data, and collection to capture

Conference Session

CANCELLED: Track 6: Technical Session 1: A Student-Centered, Theory-Informed, Integrated Model to Academic and Career Advising to Educate the Whole Engineer: Transforming Engineering Education and Broadening Participation in Engineering is Possible!

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Olga Pierrakos, Wake Forest University; Melissa C Kenny, Wake Forest University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

, goals, and student needs. Some ofthe advising models documented in the literature include the following: (a) learning-centeredadvising approach (focused on connecting purpose of education with curriculum and degree),(b) engagement approach (focused on relationship building between student and advisor), (c)developmental advising approach (focused on student development and growth), (d)prescriptive academic advising approach (focused on checklists towards degree completion), (e)proactive advising approach (focused on students initiating advising meetings and advisorstacking those identified as at academic risk), (f) appreciative advising approach (focused oncreating positive interactions to support growth and academic planning), (g) flipped

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Evelyn Sowells-Boone, North Carolina A&T State University; Pal Dave, North Carolina A&T State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #45588BOARD # 69: Improving Student Retention Using Research MentorsDr. Evelyn Sowells-Boone, North Carolina A&T State University Dr. Evelyn R. Sowells is an assistant professor in the Computer Systems Technology department at North Carolina A&T State University’s College of Science and Technology.Pal Dave, North Carolina A&T State University ©American Society for Engineering Education, 2025 Improving Student Retention Using Research MentorsAbstractThe Advancing Retention via Research Opportunities for Workforce Development in STEM(ARROWS) Project aims to boost minority

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Christine Wusylko, University of Florida; Rachel Still, University of Florida; Pavlo Antonenko; Brian Abramowitz, University of Florida; Jeremy A. Magruder Waisome, University of Florida; Victor Perez; STEPHANIE KILLINGSWORTH, University of Florida

Tagged Divisions

Computers in Education Division (COED)

Paper ID #47380BOARD # 75: One Teacher’s Experience Adapting an Innovative, FlexibleComputer Vision Curriculum in a Middle School Science ClassroomDr. Christine Wusylko, University of Florida Christine a postdoctoral fellow at the University of Florida. She draws on over 10 years of experience teaching science and technology across grade levels K-16, to produce useful and usable knowledge, which is both driven by problems of practice and is theoretically grounded. Her research and development program is centered on helping young people develop AI and STEM literacy in authentic learning environments.Rachel Still, University

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

John William Hassell, OU Polytechnic Institute; Christopher Freeze, The University of Oklahoma; Ahmed Ashraf Butt, The University of Oklahoma; H. Glen McGowan III, Google; William Ray Freeman

Tagged Divisions

Computers in Education Division (COED)

and downstream segments, and embedded systems projects for first responder and defense applications. Dr. Hassell combines his industry experience with a strong commitment to education, advocating for active learning in software development to equip students with practical skills. His entrepreneurial spirit led to the founding of ZigBeef in 2006, the University of Oklahoma’s first student technology spinoff company, focusing on long-range cattle RFID technology. This company was a direct implementation of the ideas presented in his doctoral dissertation. Additionally, he has shared his insights into entrepreneurship as a past adjunct professor at the University of Tulsa, underscoring his dedication to bridging the

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Katie Vu, University of Michigan; Avery Mitchell Maddox, University of Michigan; Caleb William Tonon, University of Michigan; Guli Zhu, University of Michigan; Tyler Wang, Stony Brook University; Rafael Mendes Opperman, University of Michigan; Qiuyi Ding, University of Michigan; Zifei Bai, University of Michigan; zhanhao liu, University of Michigan; Ziyi Wang, University of Michigan; Arvind Rao, University of Michigan; Daniel Yoon, University of Michigan

Tagged Divisions

Computers in Education Division (COED)

Paper ID #48744BOARD # 92: WIP: Generative AI-based Learning Tutor for BiomedicalData Science (GAIL Tutor BDS)Katie Vu, University of Michigan Katie Vu, an University of Michigan computer science undergraduate Class of 2026, is interested in natural language processing research with an interdisciplinary focus. She has a particular interest in LLMs.Mr. Avery Mitchell Maddox, University of Michigan Avery Maddox is an MD/PhD student at the University of Michigan with a great interest in educating future bioinformaticians and medical technology innovators. As a member of Dr. Arvind Rao’s Systems Imaging and Bioinformatics

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Daniel Kane, Utah State University; Wade H Goodridge, Utah State University; Linda Davis Ahlstrom, Utah State University; Oenardi Lawanto, Utah State University; Michaela Harper, Utah State University; Cassandra J McCall, Utah State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #47960BOARD # 98: WIP: Understanding Patterns of Generative AI Use: A Studyof Student Learning Across University CollegesDaniel Kane, Utah State University Daniel Kane is a third-year Ph.D. student in the department of engineering education at Utah State University. His research interests include spatial ability, accessibility for students with disabilities, artificial intelligence in education, and enhancing electric vehicle charging system infrastructure. Daniel has contributed significantly to the development of the Tactile Mental Cutting Test (TMCT) which is a significant advancement in assessing

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Chafic Bousaba, Guilford College

Tagged Divisions

Computers in Education Division (COED)

Paper ID #49430BOARD # 65: Bring Your Own Cluster to the ClassroomDr. Chafic Bousaba, Guilford College * Joined Guilford College in January 2008 * Serves as Associate Professor in the Computing Technology and information Systems. ©American Society for Engineering Education, 2025 Bring Your Own Cluster to the Classroom (BYOCC): Enhancing Learning Through Raspberry Pi 5 Cluster ComputingAbstractBringing and utilizing innovative technology solutions in the classroom plays a crucial role inenhancing the learning experience, applying theoretical knowledge, and providing students

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jessica Thomas, The Ohio State University

Tagged Divisions

Computers in Education Division (COED)

Paper ID #49359BOARD # 81: WIP: Student outcomes as related to the interval betweeninitial MATLAB instruction, potential interim programming encounters, andan intermediate MATLAB courseDr. Jessica Thomas, The Ohio State University Jessica Thomas is a Senior Lecturer at The Ohio State University, teaching first and second semester introductory engineering courses as well as an intermediate level MATLAB course. ©American Society for Engineering Education, 2025 WIP: Student outcomes as related to the interval between initial MATLABinstruction, potential interim programming encounters, and an intermediate

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nadya Shalamova, Milwaukee School of Engineering; Olga Imas, Milwaukee School of Engineering; James Lembke; Maria Pares-Toral, Milwaukee School of Engineering; Derek David Riley, Milwaukee School of Engineering; Daniel Bergen, Milwaukee School of Engineering

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #46417BOARD # 94: WIP: Shaping the Future of Learning: The rAIder Strategyfor Applied AI-Driven Education at MSOEDr. Nadya Shalamova, Milwaukee School of Engineering Nadya Shalamova is an Assistant Professor and the Director of the Technical Communication Program at the Milwaukee School of Engineering. Her research interests include interdisciplinary collaboration in engineering, science, and technical communication.Dr. Olga Imas, Milwaukee School of Engineering Olga Imas, Ph.D., is a professor of biomedical engineering at the Milwaukee School of Engineering, where she teaches a variety of courses in biomedical

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Steve Warren Ph.D., Kansas State University; Charles Carlson, Kansas State University

Tagged Divisions

Biomedical Engineering Division (BED)

number, modelnumber, manufacture date, etc. Refer to Appendices A.1 and A.2 for representative images.Device Accuracy Assessment. Each student performs a CMS50NA accuracy assessment, usinga Masimo MightySat® fingerclip pulse oximeter as a reference. They acquire at least 25 time-aligned measurement pairs (e.g., index and middle fingers) using the two devices. The studentcaptures images of (a) the devices while worn, with active displays, and (b) a wider view of thetesting area. Using Microsoft Excel, the student determines absolute and relative pulse rates andSpO2 errors for all the data pairs. They then calculate various statistical parameters, including anRMS value for absolute error for the overall data set, consistent with the ISO

Conference Session

Systemic and Policy Issues affecting Women Engineers

Collection

2025 ASEE Annual Conference & Exposition

Authors

Monica Quezada-Espinoza, Universidad Andres Bello, Santiago, Chile; Angeles Dominguez, Tecnologico de Monterrey, Monterrey, Mexico (ITESM); Universidad Andres Bello, Santiago, Chile (UNAB); Genaro Zavala, Tecnologico de Monterrey, Monterrey, Mexico; Universidad Andres Bello, Santiago, Chile

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering Division (WIED)

Education, 2014.[6] J. Wolfe, B. A. Powell, S. Schlisserman, y A. Kirshon, “Teamwork in Engineering Undergraduate Classes: What problems do students experience?”, in 2016 ASEE Annual Conference and Exposition, New Orleans, jun. 2016. doi: 10.18260/p.26069. Available in: https://peer.asee.org/26069[7] F. Beroíza-Valenzuela y N. Salas-Guzmán, “STEM and gender gap: a systematic review in WoS, Scopus, and ERIC databases (2012–2022)”, Front. Educ., vol. 9, p. 1378640, may 2024, doi: 10.3389/feduc.2024.1378640. Available in: https://www.frontiersin.org/articles/10.3389/feduc.2024.1378640/full[8] L. F. Coimbra, L. M. A., Nascimento, Y. O., de Lima, A. M. Santos, C. E., Barbosa, G., Xexéo, & J. M., de

Conference Session

Reimagining STEM Transitions: Bridging Gaps and Building Resilience in Post-Pandemic Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Andri Christodoulidou, University of Connecticut; Stephany Santos, University of Connecticut

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

, and that they are specific to our college’s program content andgoals. Yet, the results of the present study can be informative to the assessment and value ofsimilar programs to student success in college.ReferencesArof, K. Z. M., Ismail, S., & Saleh, A. L. (2018). Contractor’s performance appraisal system inthe Malaysian construction industry: Current practice, perception andunderstanding. International Journal of Engineering & Technology, 7(3.9), 46–51.Ashley, M., Cooper, K. M., Cala, J. M., & Brownell, S. E. (2017). Building better bridges intoSTEM: A synthesis of 25 years of literature on STEM summer Bridge programs. CBE—LifeSciences Education, 16(1), es3.Baker, R. W., & Siryk, B. (1984). Measuring adjustment to college

Conference Session

Engineering Libraries Division (ELD) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sarah Barbrow, University of Michigan; Kelly Durkin Ruth, United States Naval Academy; Amber Janssen, California State University Maritime Academy; Christina Mayberry, University of California San Diego; Sarah Over, Virginia Tech; Sarah Parker, University of British Columbia, Vancouver

Tagged Divisions

Engineering Libraries Division (ELD)

cannot attend regular meetingsand want to check in on what’s new in the NAMOE world; organizing informal meet ups atASEE and other conferences; communicating reminders of the group’s existence to key emaillists where new librarians may encounter us for the first time; and branching out from primarilyfocusing on collections and co-developing instructional resources to support NAMOE outreachand instruction.Finally, anyone supporting NAMOE disciplines is invited to get connected; simply reach out tothe authors and we will welcome you into our pod.Note: The views expressed in this document are those of the author(s) and do not reflect theofficial policy or position of the Department of Defense or the U.S. Government.References[1] B. A. Osif, Using

Conference Session

Liberal Education/Engineering & Society Division (LEES) Technical Session 2: Identity, Professionalization, and Belonging I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Brooks Michael Leftwich, Purdue University at West Lafayette (COE)

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

ed ing ed el r lt n M Adv act al Te po R n Pa on pace an ol Le l D ds te a/B ent du ng os r e G d M l S rgy y al Pha rtai PR str ch en actu s es se os g ta Sc e ia rtis ing Tr chn rts/ etai

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Prarthona Paul, University of Toronto; Chirag Variawa, University of Toronto

Tagged Divisions

Computing and Information Technology Division (CIT)

education, ultimately preparing students for a rapidly evolvingtechnological landscape.References[1] M. R. Chavez, T. S. Butler, P. Rekawek, H. Heo and W. L. Kinzler, "Chat Generative Pre-trained Transformer: why we should embrace this technology," American Journal of Obstetrics and Gynecology, vol. 228, no. 6, pp. 706-711, 2023.[2] G. Debjania and J.-B. Souppeza R. G., "Generative AI In Engineering Education," in UK and Ireland Engineering Education Research Network Annual Symposium, Belfast, 2024.[3] A. Johri, A. S. Katz, J. Qadir and A. Hingle, "Generative artificial intelligence and engineering education," Journal of Engineering Education, vol. 112, no. 3, p. 572–577, 2023.[4] D. De Silva, O. Kaynak, M. El-Ayoubi, N. Mills, D

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Kenneth Stafford Sands II, Auburn University; Andrew Hughes, Auburn University

Tagged Topics

Professional Papers

material andassembly components and provides engagement with various construction materials. However,more research needs to be done to evaluate its effectiveness.AcknowledgmentsThe authors would like to acknowledge the support of the Collier Building Industry Foundation,whose funding made this research possible.References[1] Merriam-Webster, “Mock-up,” Merriam-Webster.com. https://www.merriam- webster.com/dictionary/mock-up (accessed January 23, 2024).[2] D. B. Friend, "Virtual Reality and its Applications in the Mockup Process: A Case Study," 2018.[3] A. C. Schreyer, "3D modeling and virtual mockup building as teaching tools in AEC materials and methods curricula," in ASC 50th Annual International Conference/CIB Workgroup, 2014

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Uri Feldman, Wentworth Institute of Technology; George D. Ricco, Miami University

Tagged Divisions

Biomedical Engineering Division (BED)

Psychology. Qualitative Research inPsychology.” 3(2). pp. 77-101. 2016. Appendix A: Signal identification question from final exam Q1 In the course we analyzed many types of physiological signals using the signal detective approach. Please match each physiological signal type with its corresponding numbered graph on the right. Figure A1: Signal matching question from final exam. Answers, top to bottom: ECG, EEG, EMG, PPG Appendix B: Signal Detective TemplateSignal Detective TemplateBefore doing any analysis: Observe and Describe your data set 1. What type of data/signal is it? ECG, RR, PPG, GPA, ERA, RBI, etc. [some of these are not

Collection

2025 ASEE -GSW Annual Conference

Authors

Lance Leon Allen White, Texas A&M University; Karan Watson P.E., Texas A&M University

chatgpt and its capability of completing undergraduate engineering coursework," arXiv preprint arXiv:2403.01538, 2024.[6] D. L. McCabe and L. K. Trevino, "Academic dishonesty: Honor codes and other contextual influences," The journal of higher education, vol. 64, no. 5, pp. 522-538, 1993.[7] P. M. Newton and K. Essex, "How common is cheating in online exams and did it increase during the COVID-19 pandemic? A systematic review," Journal of Academic Ethics, vol. 22, no. 2, pp. 323-343, 2024.[8] T. B. Gallant, "Academic Integrity in the Twenty-First Century: A Teaching and Learning Imperative. ASHE Higher Education Report, Volume 33, Number 5," ASHE higher education report, vol. 33, no. 5, pp. 1-143

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Sean Walker, University of South Alabama; Kari J Lippert, University of South Alabama

Tagged Topics

Professional Papers

current alternate instructor model being used at the University of SouthAlabama, and outlined the research that will be carried out. The results of the analysis will havethe potential to provide guidance for the administration and teaching of flipped classrooms atother similarly sized universities. Future works will also include expanding on this paper so thata plan for other universities is included. It is expected that the results of the survey will showthere are both positive and negative impacts to having multiple instructors in a flipped classroomsetting.References[1] B. Kerr, "The flipped classroom in engineering education," in International Conference on Interactive Collaborative Learning, Florence, 2015.[2] C. K. Lo and K. F. Hew, "The

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Adam Piper, Mississippi State University; Jenna Johnson, Mississippi State University; Daniel Dunaway, Mississippi State University

Tagged Topics

Professional Papers

following sources of evidence for teaching effectiveness evaluation? a. Peer evaluations (internal or h. Scholarly research, publications & external) presentations related to teaching b. Self-evaluation i. Course material examples and analysis c. Classroom observation j. Teaching grants and awards d. Student learning outcomes k. External communication from students e. Student course surveys and faculty regarding teaching f. Faculty response to summative