Conference Session

Minorities in Engineering Division(MIND) Technical Session 11

Collection

2025 ASEE Annual Conference & Exposition

Authors

Haya Alshayji, Pennsylvania State University; Deja Workman, Pennsylvania State University; Swapnika Dulam, Pennsylvania State University; Lauren A Griggs, The Pennsylvania State University; Dixon Zor, Pennsylvania State University; Christopher L Dancy, The Pennsylvania State University, University Park

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Diversity

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Minorities in Engineering Division(MIND)

://doi.org/10.1145/3375627.3375868[7] J. Borenstein and A. Howard, “Emerging challenges in AI and the need for AI ethicseducation,” AI and Ethics, 2021[8] J. Borenstein and A. Howard, “Emerging challenges in AI and the need for AI ethicseducation,” AI Ethics, vol. 1, pp. 61–65, 2021. doi: 10.1007/s43681-020-00002-7. [Online].Available: https://doi.org/10.1007/s43681-020-00002-7[9] S. Wang, T. Xu, H. Li, C. Zhang, J. Liang, J. Tang, P. S. Yu, and Q. Wen, “Large LanguageModels for Education: A Survey and Outlook,” arXiv preprint, vol. abs/2403.18105, 2024.[Online]. Available: https://arxiv.org/abs/2403.18105[10] E. Kasneci et al., “ChatGPT for Good? On Opportunities and Challenges of Large LanguageModels for Education.” Center for Open Science, 2023

Conference Session

MATH - Student Readiness for Mathematics

Collection

2025 ASEE Annual Conference & Exposition

Authors

Evelyn Peter Leopold, The College of New Jersey; Ashish Agrawal, Rochester Institute of Technology

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Diversity

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Mathematics Division (MATH)

. Educ. Sci. Technol., vol. 50, no. 3, pp. 325–343, 2018.[4] K. Aung, R. Underdown, and Q. Qian, “Vertical assessment of math competency among freshmen and sophomore engineering students,” presented at the 120th Annual ASEE Conference and Exposition, Atlanta, Georgia: American Society for Engineering Education, Jun. 2013.[5] J. Tague, J. Czocher, G. Baker, and K. Harper, “Engineering Faculty Perspectives on Mathematical Preparation of Students,” Jul. 2013.[6] B. Faulkner, G. Herman, and K. Earl, “Engineering Faculty Perspectives on Student Mathematical Maturity,” American Society of Engineering Education, 2017.[7] F. Ronning, “The Role of Fourier Series in Mathematics and in Signal Theory,” Int. J. Res. Undergrad. Math. Educ

Conference Session

GSD 5: Mentorship

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gabriella Coloyan Fleming; David B Knight, Virginia Polytechnic Institute and State University; Maura Borrego, University of Texas at Austin

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Diversity

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Graduate Studies Division (GSD)

. Skerlos, and A. Baker, “The Ph.D. Advising Relationship: Needs of Returning and Direct-Pathway Students,” in 2014 ASEE Annual Conference & Exposition Proceedings, Indianapolis, Indiana: ASEE Conferences, Jun. 2014, p. 24.1238.1-24.1238.13. doi: 10.18260/1-2--23171.[19]​ A. B. Diggs and J.-L. Mondisa, “STEM Future Faculty Development Programs for Minoritized Populations: Understanding Characteristics and Opportunities,” J. Fac. Dev., vol. 36, no. 1, pp. 15–22, 2022.[20]​ G. B. Graen and M. Uhl-Bien, “Relationship-based approach to leadership: Development of leader-member exchange (LMX) theory of leadership over 25 years: Applying a multi-level multi-domain perspective,” Leadersh. Q., vol. 6, no. 2, pp. 219–247, Jun. 1995

Conference Session

Computers in Education Division (COED) Track 3.E

Collection

2025 ASEE Annual Conference & Exposition

Authors

Samuel B Mazzone, Marquette University; Dennis W Brylow, Marquette University

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Diversity

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Computers in Education Division (COED)

Website Premise 1 doctype, html, head, title, body, h1-h6, p Favorite Restaurant 2 img, a Favorite Book 3 b, strong, i, em Green Space 4 Learning Check 1 Favorite Animal 5 ul, ol, li, hr, br Favorite Holiday Dish 6 table, thead, tbody, tr, th, td Phone Comparison 7 blockquote, q, abbr School Newspaper 8 Learning Check 2

Conference Session

Design in Engineering Education Division (DEED) - AI and Digital Futures in Design Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Maulik C Kotecha, Pennsylvania State University; Tikyna M. Dandridge, The Pennsylvania State University; Tahira Reid Smith, Pennsylvania State University

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Diversity

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Design in Engineering Education Division (DEED)

Conference Session

Design in Engineering Education Division (DEED) - Evolving Pedagogies in Capstone Design Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sarah Oman, Oregon State University; Joseph Piacenza, Oregon State University; Elliott Chimienti

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Design in Engineering Education Division (DEED)

authors note thatremote capstones may require rethinking the weighting of certain assignments or rubrics.Because face-to-face lab observation is absent, instructors can gather alternative evidence ofiterative design processes, such as archived version-control logs, sponsor sign-offs, or video-recorded design critiques [1], [12]. Sclater et al. [5] mention that centralized shared artifactsreduce confusion about accountability and serve as a record for accreditation purposes. Znidi etal. [12] and Aguilera et al. [2] add that final presentations, crucial to evaluating communicationcompetencies, can be staged online via synchronous video conferencing, potentially withbreakout sessions for sponsor Q&A. By systematically structuring these remote

Conference Session

DSAI Technical Session 10: Research Infrastructure and Institutional Insights

Collection

2025 ASEE Annual Conference & Exposition

Authors

Pallavi Singh, University of South Florida; Joel Howell; Joshua Karl Thomas Ranstrom, University of South Florida; Wilfrido A. Moreno P.E., University of South Florida

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Data Science and Artificial Intelligence (DSAI) Constituent Committee

Conference Session

International Division (INTL): Measuring and Assessing Outcomes and Impact 

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rodolfo Andrés Rivas Matta, Florida Altantic University; Jose Texier, LACCEI; Maria Mercedes Larrondo-Petrie, Florida Atlantic University; Laura Romero, Tecnologico de Monterrey

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International Division (INTL)

. Čapko, S. Vukmirović, and N. Nedić, “Development of a Blockchain-Based Application for Digital Certificates in Education,” in 2022 30th Telecommunications Forum (℡FOR), Nov. 2022, pp. 1–4. doi: 10.1109/℡FOR56187.2022.9983672.[16]​A. Gayathiri, J. Jayachitra, and S. Matilda, “Certificate validation using blockchain,” in 2020 7th International Conference on Smart Structures and Systems (ICSSS), Jul. 2020, pp. 1–4. doi: 10.1109/ICSSS49621.2020.9201988.[17]​F. Kabashi, H. Snopce, A. Aliu, A. Luma, and L. Shkurti, “A Systematic Literature Review of Blockchain for Higher Education,” in 2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD), IEEE, 2023, pp. 1–6.[18]​U. Rahardja, Q. Aini, F. Budiarty, M

Conference Session

AI, Technology, and Data-Driven Learning in Biomedical Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Laura Christian, Georgia Institute of Technology; Ophelia Anais Winslett, Georgia Institute of Technology; Alpa Gautam, Georgia Institute of Technology; Todd M. Fernandez, Georgia Institute of Technology

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Biomedical Engineering Division (BED)

pedagogical principles described in the previous section.Starting from the existing cardiac/respiratory dysfunction activity mentioned above, both versions of the dataskills activity integrate training and inference of ML models. In keeping with our principles, no physiologycontent was removed, although the way students engage with it did change. For example, in the original activity(no data skills), students label the P, Q, R, S, and T parts of a wave on a model ECG of a single heartbeat. In therevised data skills activity, students were asked to use the parts of the wave to mark features indicative of acardiac diagnosis on a single ECG rhythm strip showing approximately 9 beats, and including noise. Then,focusing on applications, they are asked to

Conference Session

GSD 4: Stressors and Supports

Collection

2025 ASEE Annual Conference & Exposition

Authors

So Yoon Yoon, University of Cincinnati; Julie Aldridge, The Ohio State University; Nicole M. Else-Quest, University of California, Los Angeles ; Joe Roy, American Society for Engineering Education

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Diversity

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Graduate Studies Division (GSD)

employee creativity: the combined roles of mastery and performance motivation climates. Social Behavior and Personality: An International Journal, 48(12), 1–11. https://doi.org/10.2224/sbp.9461[31] Nerstad, C. G. L., Roberts, G. C., & Richardsen, A. M. (2013). Achieving success at work: development and validation of the motivational climate at work questionnaire (MCWQ). Journal of Applied Social Psychology, 43(11), 2231–2250. https://doi.org/10.1111/jasp.12174[32] Černe, M., Nerstad, C. G. L., Dysvik, A., & Škerlavaj, M. (2014). What goes around comes around: Knowledge hiding, perceived motivational climate, and creativity. Academy of Management Journal, 57(1), 172–192.[33] Zhang, Q., Wang, X.-H. F., Nerstad, C

Conference Session

Construction Engineering Division (CONST) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Shahrooz -- Ghorbani, East Carolina University; tianjiao zhao, East Carolina University

Tagged Divisions

Construction Engineering Division (CONST)

legal aspects of using artificial intelligence in environmentalprotection," Environmental Science and Pollution Research, vol. 30, no. 16, pp. 37140-37151,2023.[20] X. Tian, "The influence of artificial intelligence on green innovation in manufacturingindustries," Technological Forecasting and Social Change, vol. 188, art. no. 122248, 2023.[21] Y. Zhang, "The impact of artificial intelligence on green innovation: Evidence frommanufacturing firms," Technological Forecasting and Social Change, vol. 174, art. no. 121280,2022.[22] Y. Zheng and Z. O'Neill, "Artificial Intelligence for Building Energy Management: AComprehensive Review," Energy and Buildings, vol. 268, art. no. 112241, 2022.[23] Q. Zhou, S. Wang, and Z. Ma, "A novel two-tier

Conference Session

Design in Engineering Education Division (DEED) - Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

LEI YANG, University of Hong Kong; Tien-Hsuan Wu, University of Hong Kong; Chun Kit Chui, University of Hong Kong; Chun Kit Chan, University of Hong Kong

Tagged Divisions

Design in Engineering Education Division (DEED)

.[5] K. Tenório and R. Romeike, "AI Competencies for non-computer science students in undergraduateeducation: Towards a competency framework," in Proceedings of the 23rd Koli Calling InternationalConference on Computing Education Research, 2023.[6] B. D. Quigley, T. R. Caswell, J. M. Burroughs, L. Costello, K. Van Diest, M. Wang, A. Yang and others,"2024 Top Trends in Academic Libraries: A Review of the Trends and Issues," College & Research LibrariesNews, vol. 85, 2024.[7] Q. Ou and X. Chen, "Investigation and analysis of maker education curriculum from the perspective ofartificial intelligence," Scientific Reports, vol. 14, p. 1959, 2024.[8] C. K. Chui, L. Yang and B. Kao, "Empowering Students in Emerging Technology: A Framework

Conference Session

Poster Session-Electrical and Computer Engineering Division (ECE)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ernest Wang, University of California, Davis; Harry Zhang, University of California, Davis; Paul J. Hurst, University of California, Davis; Yubei Chen, University of California, Davis; Kenneth Dyer, Microsoft Corporation

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

, June 2024. Available: https://peer.asee.org/46436[4] Y. LeCun, "A Path Towards Autonomous Machine Intelligence Version 0.9.2," OpenReview, 2022. Available: https://openreview.net/forum?id=BZ5a1r-kVsf[5] Y. LeCun, Y. Bengio, and G. Hinton, "Deep learning," Nature, vol. 521, no. 7553, pp. 436-444, May 2015, doi: 10.1038/nature14539[6] K. Baltaci, M. Herrmann, and A. Turkmen, "Integrating Artificial Intelligence into Electrical Engineering Education: A Paradigm Shift in Teaching and Learning," ASEE Conf., Portland, Jun. 2024. [Online]. Available: https://peer.asee.org/47644[7] Y. Hicke, A. Agarwal, Q. Ma, and P. Denny, "AI-TA: Towards an

Conference Session

International Division (INTL) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Wei Zhang, Zhejiang University; Shuai Wang; Weijia Zhang, Zhejiang University

Tagged Divisions

International Division (INTL)

-based learning in higher education: an exploratory literature review[J]. Teaching in Higher Education, 2023, 28(6): 1135-1157.[4] Chen X Y. On the Relationship between General Education and Specialty Education Based on a Case Analysis of Yuanpei Program of Peking University[J]. Peking University Education Review, 2006, (03):71-85+190.[5] Wu R L, Hou Y B, Yang S L. Design and Application of Smart Classroom in Engineering Education General Course[J]. University Education, 2024(2): 11-16.[6] Qi S Y, Gong Y, Ma Q T. Comparison and Enlightenment of the World Top Undergraduate Major Curriculum System with Integration of General Education and Professional Education — — A Case Comparison of Six Chinese and American Universities[J

Conference Session

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Qixian Zhao, Nanyang Technological University; Ibrahim H. Yeter, Nanyang Technological University

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Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE)

than baseline Q-learning.Stochastic games on graphs model decentralised control. Leibo et al. (2017) demonstratedemergent “wolf-pack” cooperation among deep-RL agents, replicating PD-style payofftensions between individual capture and group share.Mechanism-design frameworks (e.g., VCG auctions) are now baked into cloud-resourceallocation and ad bidding (Mehta, 2013), formalising incentive compatibility—an idea centralto one-shot PD.Mini-synthesis. These studies confirm that strategic reasoning is already embedded inproduction AI. Students who understand game-theoretic incentives are better equipped toforesee trust breakdowns before deployment.3.2 Empirical Insights from Prisoner’s-Dilemma Research Finding

Conference Session

Chemical Engineering Division (ChED) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Viviana Monje, University at Buffalo, The State University of New York; Jinhui Li, Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York; Ashlee N Ford Versypt, University at Buffalo, The State University of New York; Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York

Tagged Divisions

Chemical Engineering Division (ChED)

/stable/43686977.[6] S. Hoadley, L. N. Wood, L. Tickle, and T. Kyng, "Applying threshold concepts to finance education," Education + Training, vol. 58, no. 5, pp. 476-491, 2016, doi: 10.1108/ET-02-2016-0035.[7] P. R. M. Correia, I. A. I. Soida, I. de Souza, and M. C. Lima, "Uncovering Challenges and Pitfalls in Identifying Threshold Concepts: A Comprehensive Review," Knowledge, vol. 4, no. 1, pp. 27-50, 2024, doi: 10.3390/knowledge4010002.[8] I. Detchev, E. V. Rangelova, S. C. Packer, Q. K. Hassan, and K. O'Keefe, "WIP: Decoding a discipline – Toward identifying threshold concepts in geomatics engineering," in ASEE Annual Conference, Salt Lake City, UT, 2018.[9] R. N. Khan, "Identifying Threshold

Conference Session

Minorities in Engineering Division(MIND) Technical Session 5

Collection

2025 ASEE Annual Conference & Exposition

Authors

Winifred Opoku, The Ohio State University; Monica Farmer Cox, The Ohio State University; Dira Melissa Delpech, The Ohio State University; Jameka Wiggins, The Ohio State University

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Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

focused on racism and health | Harvard T.H. Chan School of Public Health.” [Online]. Available: https://hsph.harvard.edu/news/dei-backlash-affecting-research-focused-on-racism-and-healt h/[24]​ A. Edmondson, “Psychological Safety and Learning Behavior in Work Teams,” Adm. Sci. Q., vol. 44, no. 2, pp. 350–383, Jun. 1999, doi: 10.2307/2666999.[25]​ V. Agarwalla, L. Davis, E. Duhart Benavides, and RECIPES Network, “Guiding Principles Creating Psychologically Safe Spaces for Researchers: Insights from Multi-Institutional Research Collaboration (Research) and Community Norms,” RECIPES, 2024. doi: 10.57912/25299325.[26]​ A. C. Edmondson and D. P. Bransby, “Psychological Safety Comes of Age: Observed

Conference Session

Continuing Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jose Daniel Azofeifa, Institute for the Future of Education, Tecnologico de Monterrey, Mexico; Valentina Rueda-Castro, Tecnologico de Monterrey (ITESM); Luis Jose Gonzalez-Gomez; Mario Zaragoza, Universidad Nacional Autonoma de Mexico-UNAM; Julieta Noguez; Patricia Caratozzolo, Tecnologico de Monterrey (ITESM)

Tagged Divisions

Continuing, Professional, and Online Education Division (CPOED)

, Tecnologico de Monterrey, Mexico, in producing this work.References [1] X. Xu, Y. Lu, B. Vogel-Heuser, and L. Wang, “Industry 4.0 and industry 5.0—inception, conception and perception,” Journal of manufacturing systems, vol. 61, pp. 530–535, 2021. [2] M. C. Zizic, M. Mladineo, N. Gjeldum, and L. Celent, “From industry 4.0 towards industry 5.0: A review and analysis of paradigm shift for the people, organization and technology,” Energies, vol. 15, no. 14, p. 5221, 2022. [3] J. Leng, W. Sha, B. Wang, P. Zheng, C. Zhuang, Q. Liu, T. Wuest, D. Mourtzis, and L. Wang, “Industry 5.0: Prospect and retrospect,” Journal of Manufacturing Systems, vol. 65, pp. 279–295, 2022. [4] E. G. Carayannis and J. Morawska-Jancelewicz, “The futures of europe

Conference Session

Inclusive and Reflective Practices in Pre-College Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Krista Dulany Chisholm, University of Florida; Emersen Kronsnoble, University of Florida; Kassandra Fernandez, University of Florida; Nancy Ruzycki, University of Florida

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

://data.census.gov/table/ACSSPP1Y2021.S0201?q=ACS&t=001:Occupation:Race and Ethnicity&g=010XX00US

Conference Session

ME Division 12: Innovative Approaches to Thermodynamics

Collection

2025 ASEE Annual Conference & Exposition

Authors

Emmanuel K. Glakpe, Howard University; Aavash Budhathoki, Howard University

Tagged Divisions

Mechanical Engineering Division (MECH)

pressure inside B reaches 23.85 lbf/in2 and this continues until thepressure in tank A has dropped to 23.85 lbf/in2. The amount of heat transferred to tank A isenough to keep the temperature of the R-134a in tank A constant at 80 oF as the specific enthalpyout of the tank is 116.45 Btu/lbm. Determine key thermodynamic parameters of Tank A and B inthis engineering system for varying values of exit pressure.Figure 2: Plant Technology2. Problem NomenclatureSome key parameters given in the problem are listed in this section. The bold letters indicatedifferent properties: u for specific internal energy, h for specific enthalpy, V for Volume, ນ forspecific volume, T for temperature, x for quality, Q for Heat Transfer, and m for mass. Thesubscripts

Conference Session

ENT-2: Bridging Faculty and Student Perspectives in Entrepreneurial Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

John K. Estell, Ohio Northern University; DeAnna Lynn Leitzke PE, Milwaukee School of Engineering; Kurt Paterson P.E., Arizona State University; Joshua Mitchell, Milwaukee School of Engineering

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

. f. Collects feedback and data from many customers and customer segments. 5. Integrates information from many sources. q. Integrates/synthesizes different kinds of knowledge. 6. Recognizes the need to communicate value propositions appropriately to different stakeholders. m. Articulates the idea to diverse audiences. n. Persuades why a discovery adds value from multiple perspectives. 7. Adapts to changing conditions. h. Modifies an idea/product based on feedback. 8. Identifies opportunities to create value. a. Critically observes surroundings to recognize opportunity.The Final Framework behaviors that do not have a close association with this work are: b. Explores multiple solution paths

Conference Session

Cooperative and Experiential Education Division (CEED): Assessment, Curriculum & Instructional Design

Collection

2025 ASEE Annual Conference & Exposition

Authors

Karina Ivette Vielma, The University of Texas at San Antonio; Robin Lynn Nelson, University of Texas at San Antonio; JoAnn Browning P.E., The University of Texas at San Antonio

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

NormalQ-Q Plots of Q20, Q21, and Q22, the data are approximately normally distributed.Participants’ responses showed that they gained a statistically significant amount of experience(Q20) collaborating on a research project with a faculty mentor by completing the ten-weekNHERI REU, 1.54, 95% CI [1.336, 1.743].t(188) = 14.909, p > 0.05 with a large effect sized=1.08. Compared to when removing the two outliers, 1.567, 95% CI [1.367, 1.767], t(186) =15.446, p < 0.0001, d = 1.129. To put this in perspective, Cohen’s d includes small (0.2), medium(0.5), and large (0.8) effect size ranges (Cohen, 1998). Further, participant responses showed thatthey gained a statistically significant amount of experience (Q21) working through

Conference Session

ERM Technical Session: Evolution of Engineering Education Research Methods

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jack Elliott, Minnesota State University, Mankato; Darcie Christensen, Minnesota State University, Mankato; Justine Chasmar, Minnesota State University, Mankato; Katie Scherf, Minnesota State University, Mankato

Tagged Divisions

Educational Research and Methods Division (ERM)

Computing and Engineering, IEEE, Jan. 2015, pp. 128–133. doi: 10.1109/LaTiCE.2015.20.[64] *R. F. Herrera, F. M.-L. Rivera, and J. C. Vielma, “Interaction networks within student teams learning Building Information Modeling (BIM),” Journal of Civil Engineering Education, vol. 147, no. 1, 2021, doi: 10.1061/(ASCE)EI.2643-9115.0000032.[65] *A. Gardner, K. Willey, and Q. Meng, “Insights from using a subject-specific Facebook group for student engagement and learning,” in 6th Research in Engineering Education Symposium: Translating Research into Practice, 2015.[66] *J. Zhang, R. Li, H. Li, M. Skitmore, and P. Ballesteros-Pérez, “Improving the innovation ability of engineering students: a Science and Technology

Conference Session

ME Division Technical Session 2 - Harnessing AI and Machine Learning to Transform ME Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rujun Gao, Texas A&M University; Hillary E. Merzdorf, Cornell University; Xiaosu Guo, University of Texas at Dallas; Sami Melhem, Texas A&M University; Kristi J. Shryock, Texas A&M University; Arun R Srinivasa, Texas A&M University

Tagged Divisions

Mechanical Engineering Division (MECH)

Engineering,” Education Sciences, vol. 14, no. 5, p.484, May 2024, doi: 10.3390/educsci14050484.[11] S. Wang, T. Xu, H. Li, C. Zhang, J. Liang, J. Tang, P. S. Yu, and Q. Wen, "Large LanguageModels for Education: A Survey and Outlook," 2024.[12] B. Borges et al., “Could ChatGPT get an engineering degree? Evaluating higher educationvulnerability to AI assistants,” Proceedings of the National Academy of Sciences, vol. 121, no.49, Nov. 2024, doi: 10.1073/pnas.2414955121.[13] M. Bernabei, S. Colabianchi, A. Falegnami, and F. Costantino, “Students’ use of largelanguage models in engineering education: A case study on technology acceptance, perceptions,efficacy, and detection chances,” Computers and Education: Artificial Intelligence, vol. 5, p.100172, 2023

Conference Session

Computers in Education Division (COED) Track 6.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kevin Huang, Troy High School; Ivan Zimmerman; Doina Bein, California State University, Fullerton

Tagged Divisions

Computers in Education Division (COED)

), 1246 7. Al-Tabarwi, H., Ali, U. A. al-J., & al-Ajami, S. Q. (2019). Predicting students’ performance using machine learning techniques. Majallat Jāmiʻat Bābil, 27(1), 194–205. 8. Dabhade, P., Agarwal, R., Alameen, K. P., Fathima, A. T., Sridharan, R., & Gopakumar, G. (2021). Educational data mining for predicting students’ academic performance using machine learning algorithms. Materials Today: Proceedings, 47, 5260–5267. 9. H. Gull, M. Saqib, S. Z. Iqbal and S. Saeed (2020), "Improving Learning Experience of Students by Early Prediction of Student Performance using Machine Learning," 2020 IEEE International Conference for Innovation in Technology (INOCON), Bangluru, India, 2020, pp. 1-4 10

Conference Session

ECE-Cybersecurity and Quantum Technology Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sandip Das, Kennesaw State University; Benjamin Klein, Kennesaw State University; Seung Joon Paik, Georgia Institute of Technology; A. Bruno Frazier, Georgia Institute of Technology

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

]. Available: https://www.semiconductors.org/global-semiconductor-sales-decrease-8-2-in-2023- market-rebounds-late-in-year.5. H.M.C.B. Gunarathne and V. Chaitanya, “Workforce Development for the Semiconductor Industry – A Perspective”, The Electrochemical Society Interface, Vol. 33, pp. 65-68 (2024). DOI. 10.1149/2.F13244IF.6. Semiconductor Industry Association, “America Faces Significant Shortage of Tech Workers in Semiconductor Industry and Throughout U.S. Economy,” Semiconductor Industry Association. [Online]. Available: https://www.semiconductors.org/america- faces-significant-shortage-of-tech-workers-in-semiconductor-industry-and-throughout-u- s-economy.7. Y. S. Sun, Q. Zhu, and J. M. Case, “Preparing Future Semiconductor Talent

Conference Session

GSD 8: Industry and Professional Skills

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rachel Yoho, George Mason University; Christi Wilcox, George Mason University, College of Engineering and Computing

Tagged Divisions

Graduate Studies Division (GSD)

development programs providing pedagogical training to STEM graduate students,” IEEE Frontiers in Education Conference (FIE), pp. 1-5, 2020.[5] Y. J. Xu, “Gender disparity in STEM disciplines: A study of faculty attrition and turnover intentions,” Research in Higher Education, vol. 49, pp. 607-624, 2008.[6] E. Q. Rosenzweig, X. Y. Chen, Y. Song, A. Baldwin, M. M. Barger, M. E. Cotterell, J. Dees, A. S. Injaian, N. Weliweriya, J. R Walker, C. C. Weingert and P. P. Lemons, “Beyond STEM attrition: Changing career plans within STEM fields in college is associated with lower motivation, certainty, and satisfaction about one’s career,” International Journal of STEM Education, vol. 11, no. 1, pp. 15, 2024.[7] D. Dickens

Conference Session

DSAI Technical Session 1: K–12 and Early Exposure to Data Science and AI

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sri Krishna Chaitanya Velamakanni, Pennsylvania State University; Suman Saha, Pennsylvania State University

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

student preferences. By integrating such technologies into thelearning ecosystem, educators can create a more adaptive, accessible, and effective educationalexperience, paving the way for innovation in teaching and learning practices.References[1] A. Smith and B. Jones, "Long video formats and student engagement," Journal of OnlineLearning, vol. 15, no. 4, pp. 23–34, 2020.[2] J. Zhu, H. Yuan, Q. Zhang, et al., "The impact of short videos on student performance in anonline-flipped college engineering course," Humanities and Social Sciences Communications,vol. 9, p. 327, 2022. DOI: 10.1057/s41599-022-01355-6.[3] FFmpeg Developers, FFmpeg. [Online]. Available: https://ffmpeg.org/, 2021.[4] A. Radford, et al., "Robust speech recognition via large

Conference Session

DASI Technical Session 2: Artificial Intelligence in Higher Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Lauren Singelmann, Minnesota State University, Mankato; Jack Elliott, Minnesota State University, Mankato; Yuezhou Wang, Minnesota State University, Mankato; Jacob John Swanson, Minnesota State University, Mankato

Tagged Topics

Diversity

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

, Figure 3 demonstrates the participants’median evaluation in the y-coordinate against the participants’ median prior confidence in thex-coordinate according to participant groups. To add clarity, the locations of those items whichhave an absolute difference in the median confidence and evaluation values are indicated by theitem number (i.e., Q#) rather adjacent to the circular point.Figure 3. Industry (blue), student (orange), and faculty (green) participants’ medianevaluation of GAI accurately accomplishing a given task vs. participants’ medianconfidence in GAI to accurately accomplish a given task. Questions with an absoluteevaluation and confidence difference greater than one (1-5 scale) are indicated by the itemnumber next to the point. All

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 5

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rasika Ravindra Kale, Embry-Riddle Aeronautical University; Bryan Watson, Embry-Riddle Aeronautical University - Daytona Beach; James E Hand, Embry-Riddle Aeronautical University - Daytona Beach; Matthew Scheinblum-Brewer, Embry-Riddle Aeronautical University - Daytona Beach

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

Falco, M. and Robiolo, G., “A systematic literature review in Multi-Agent Systems: Patterns and Trends” 2019 XLV Latin American Computing Conference (CLEI), Panama, Panama, 2019, pp. 1-10, doi: 10.1109/CLEI47609.2019.235098.10 Han, S., Zhang, Q., Yao, Y., Jin, W., Xu, Z., and He, C. “Llm multi-agent systems: Challenges and open problems”, 2024. URL https://arxiv.org/abs/2402.03578..11 A. Dorri, S. S. Kanhere and R. Jurdak, "Multi-Agent Systems: A Survey," in IEEE Access, vol. 6, pp. 28573-28593, 2018, doi: 10.1109/ACCESS.2018.28312281112 Schranz M, Umlauft M, Sende M and Elmenreich W., “Swarm Robotic Behaviors and Current Applications.”, Front Robot AI, 2020 Apr 2;7:36. doi: 10.3389/frobt.2020.00036. PMID: 33501204