Conference Session

International Division (INTL): Case Studies and Trends

Collection

2025 ASEE Annual Conference & Exposition

Authors

Bhuvaneswari Gopal, University of Nebraska - Lincoln; Byrav Ramamurthy, University of Nebraska - Lincoln; Prasad Edamana

Tagged Topics

Diversity

Tagged Divisions

International Division (INTL)

] Hernández-de-Menéndez, M., Vallejo Guevara, A., Tudón Martínez, J.C., HernándezAlcántara, D. and Morales-Menendez, R., Active learning in engineering education. A review offundamentals, best practices and experiences. International Journal on Interactive Design andManufacturing (IJIDeM), 13, pp.909-922., 2019.[8] Lima, R.M., Andersson, P.H. and Saalman, E., Active Learning in EngineeringEducation: a (re) introduction. European Journal of Engineering Education, 42(1), pp.1-4, 2017.[9] L. Porter, C.B. Lee, B. Simon, Q. Cutts, and D. Zingaro, D., “Experience report: a multi-classroom report on the value of peer instruction.”, in Proceedings of the 16th annual jointconference on Innovation and technology in computer science education, pp. 138-142

Conference Session

Computers in Education Division (COED) Track 6.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jiaen Yu, University of California, San Diego; Anshul Shah, University of California, San Diego; John Driscoll, University of California, San Diego; Yandong Xiang; Xingyin Xu, New York University; Sophia Krause-Levy, University of San Diego; Soohyun Nam Liao, University of California, San Diego

Tagged Divisions

Computers in Education Division (COED)

. 22, no. 3-4, pp. 255–278, 1987. [6] M. Mani and Q. Mazumder, “Incorporating metacognition into learning,” in Proceeding of the 44th ACM Technical Symposium on Computer Science Education, ser. SIGCSE ’13, 2013, p. 53–58. [7] L. Murphy and J. Tenenberg, “Do computer science students know what they know? a calibration study of data structure knowledge,” in Proceedings of the 10th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, ser. ITiCSE ’05, 2005, p. 148–152. [8] J. Hattie, Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement, 2009. [9] N. Joseph, “Metacognition needed: Teaching middle and high school students to develop strategic learning skills

Conference Session

DSAI Technical Session 5: Educational Technology and Innovative Tools

Collection

2025 ASEE Annual Conference & Exposition

Authors

Dong Hun Lee, Purdue University at West Lafayette (COE); Anne M Lucietto, Purdue University at West Lafayette (PPI); Diane L Peters P.E., Kettering University

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

. 5. Geiger, A., Lenz, P., & Urtasun, R. (2012). Are we ready for autonomous driving? The KITTI vision benchmark suite. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3354-3361. 6. Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., & Schiele, B. (2016). The Cityscapes dataset for semantic urban scene understanding. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3213-3223. 7. Zhao, Z. Q., Zheng, P., Xu, S. T., & Wu, X. (2019). Object detection with deep learning: A review. IEEE Transactions on Neural Networks and Learning Systems, 30(11), 3212-3232. 8. Redmon, J., & Farhadi, A. (2018

Conference Session

Computers in Education Division (COED) Track 2.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Venkata Alekhya Kusam, University of Michigan - Dearborn; Zheng Song, University of Michigan - Dearborn; Khalid Kattan, University of Michigan - Dearborn; Bruce R Maxim, University of Michigan - Dearborn

Tagged Divisions

Computers in Education Division (COED)

. Elkins, E. Kochmar, J. C. Cheung, and I. Serban, “How teachers can use large language models and bloom’s taxonomy to create educational quizzes,” in Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), 2024.[31] J. Hassell, “Best practices for using generative ai to create quiz content for the canvas lms,” in 2024 ASEE Midwest Section Conference, 2024.[32] D. C. Schmidt, J. Spencer-Smith, Q. Fu, and J. White, “Towards a catalog of prompt patterns to enhance the discipline of prompt engineering,” 2023.[33] V. A. Kusam, L. Moore, S. Shrestha, Z. Song, J. Lu, and Q. Zhu, “Generative-ai assisted feedback

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - Expanding horizons

Collection

2025 ASEE Annual Conference & Exposition

Authors

Brent K Jesiek, Purdue University at West Lafayette (COE); Justin L Hess, Purdue University – West Lafayette (College of Engineering); Nael Barakat, The University of Texas at Tyler; Sara E Wilson, The University of Kansas

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics Division (ETHICS)

-responsible-conduct-of- research-where-are-we-n[4] J. L. Hess, B. K. Jesiek, A. Whitehead, A. Katz, and D. Riley, “Intersections between ethics and diversity, equity, and inclusion in engineering,” 2021 IEEE International Symposium on Ethics in Engineering, Science and Technology (ETHICS), Waterloo, ON, Canada, 2021, pp. 1-5, doi: 10.1109/ETHICS53270.2021.9632755.[5] N. M. Smith, Q. Zhu, J. M. Smith, and C. Mitcham, “Enhancing engineering ethics: Role ethics and corporate social responsibility,” Science and Engineering Ethics, vol. 27, article no. 28, 2021, doi: 10.1007/s11948-021-00289-7.[6] N. Barakat and H. Jiao, “Proposed strategies for teaching ethics of nanotechnology,” Nanoethics Journal, vol. 4, pp. 221-228, 2010

Conference Session

Computers in Education Division (COED) Track 5.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Erik Verlage, The Ohio State University; Christian Gabbianelli, Massachusetts Institute of Technology; Kachina Studer, Massachusetts Institute of Technology; Ashim Dhakal, The Ohio State University; Zhen Zhao, Massachusetts Institute of Technology; Meredith Thompson, Massachusetts Institute of Technology; John Liu, Massachusetts Institute of Technology

Tagged Divisions

Computers in Education Division (COED)

.[20] L.-H. Wang, B. Chen, G.-J. Hwang, J.-Q. Guan, and Y.-Q. Wang, “Effects of digital game-based STEM education on students’ learning achievement: a meta-analysis,” International Journal of STEM Education, vol. 9, no. 1, p. 26, Mar. 2022, doi: 10.1186/s40594-022-00344-0.[21] J. P. Gee, “What Video Games Have to Teach Us About Learning and Literacy,” Comput. Entertain., vol. 1, no. 1, pp. 20–20, Oct. 2003, doi: 10.1145/950566.950595.[22] E. P. Bullock, A. L. Roxburgh, P. S. Moyer-Packenham, E. Bektas, J. S. Webster, and K. A. Bullock, “Connecting the dots: Understanding the interrelated impacts of type, quality and children’s awareness of design features and the mathematics content learning goals in digital math games and

Conference Session

ENT-4: Experiential Approaches to Developing Entrepreneurial Mindsets in Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Stephanie G Wettstein, Montana State University - Bozeman

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

’2013): Closing the Gap between University and Industry, Eindhoven, The Netherlands, 2013.[4] J. Dinis-Carvalho, S. Fernandes, R. M. Lima, D. Mesquita, and C. Costa-Lobo, "Active learning in higher education: developing projects in partnership with industry," in INTED2017 Proceedings, 2017: IATED, pp. 1695-1704.[5] C. Q. Li, R. S. Harichandran, N. O. Erdil, M.-I. Carnasciali, and J. Nocito-Gobel, "Assessing the growth in entrepreneurial mind-set acquired through curricular and extra- curricular components," 2019.[6] C. Q. Li, R. S. Harichandran, M.-I. Carnasciali, N. O. Erdil, and J. Nocito-Gobel, "Development of an instrument to measure the entrepreneurial mindset of engineering students," in

Conference Session

Engineering Design Graphics Division (EDGD) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

BURCU OZDEN, Pennsylvania State University; Sabahattin Gokhan Ozden, Penn State Abington

Tagged Divisions

Engineering Design Graphics Division (EDGD)

, 2020, doi: 10.1002/jee.20349.[6] T. Branoff, J. Mohammed, and J. Brown, “The Role of Spatial Visualization Ability in Course Outcomes and Student Retention within Technology Programs,” Journal for Geometry and Graphics, vol. 26, no. 1, pp.159-170, 2022.[7] J. Šafranj and J. Zivlak, “Spatial-visual intelligence in teaching students of engineering,” Research in Pedagogy, vol. 8, no. 2, 2018, doi: 10.17810/2015.72.[8] P. Katsio-Loudis and M. Jones, “Using computer-aided design software and 3D printers to improve spatial visualization,” Technology and Engineering Teacher, vol. 74, no. 8, 2015.[9] Q. Dunsworth and D. Q. Lewis, “A Targeted Approach to Improving Spatial Visualization Skills of First-Year

Conference Session

Systems Engineering Division (SYS) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Abul K. M. Azad, Northern Illinois University; Jim Goodell, INFERable and IEEE Learning Technology Standards Committee; Aaron Kessler Ph.D., Massachusetts Institute of Technology; Scotty D. Craig; Hamadou Saliah-Hassane ing., TELUQ University

Tagged Divisions

Systems Engineering Division (SYS)

/10.1145/3265972.3242101[11] M. Lieberman, “iDesign, Learning Engineers Inch Toward the Spotlight,” September 2018. https://www.idesignedu.org/latest-news/learning-engineers-inch-toward-the-spotlight[12] M. Grush, “Learning Engineering: Making Education More "Professional" A Q&A with Ellen Wagner,” Campus Technology, January 14, 2019. https://campustechnology.com/articles/2019/01/14/learning-engineering-making-education- more-professional.aspx[13] P. Hogle, “New Field of Learning Engineering Edges Toward Definition,” Learning Guild, May 29, 2019. https://www.learningguild.com/articles/new-field-of-learning-engineering- edges-toward-definition/[14] J. R. Young, “How ‘Learning Engineering’ Hopes to Speed Up Education

Conference Session

Ocean and Marine Division (OMED) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Scott Joseph Eaton, University of Southern Maine; Summer Sui Chun Sai Carey, University of Southern Maine; Samantha Lebsack, University of Southern Maine; Camdyn Gunnar Johnson, University of Southern Maine; Christian Taylor, Omission Inc.; Logan Marcus Butler, University of Southern Maine; Anna Bella Elise Dougherty, University of Southern Maine

Tagged Divisions

Ocean and Marine Division (OMED)

electronics and programming. These results were consistentacross both male and female respondents as well as education level. Table I: Participant pre-participation survey questions and responses (n = 11) Q# Question Result* (Ave.) 1 How likely are you to pursue a career in STEM? 3.91 2 How likely are you to pursue a career in the ocean industry? 2.45 3 How well prepared do you feel to participate in an ocean engineering project? 2.64 4 How

Collection

2025 ASEE -GSW Annual Conference

Authors

Matthew Kuester, University of Mary Hardin-Baylor

in height (zA – zB) between the two locations. The volume flowrate (Q) is calculated by applying Bernoulli’s equation along a streamline that runs along the watersurface and utilizing conservation of mass between points A and B: 1/2 2𝑔(𝑧𝐴 − 𝑧𝐵 ) 𝑄 = 𝑑𝐴 𝑤𝐴 𝑑𝐴 𝑤𝐴 2 ( ) −1 ( 𝑑𝐵 𝑤𝐵 )The students also estimated the flow speed by timing how long it took a ping-pong ball to travel aspecified distance along the creek. This provided a

Collection

2025 ASEE -GSW Annual Conference

Authors

Roy Uzoma Lan; Chinedu Okonkwo, The University of Texas at San Antonio; Ibukun Gabriel Awolusi, The University of Texas at San Antonio; Jiannan Cai

/j.fuel.2022.124842Moosavi, S., & Bush, J. (2024). Embedding Sustainability in Interdisciplinary Pedagogy for Planning and Design Studios. Journal of Planning Education and Research, 44(2), 576–589. https://doi.org/10.1177/0739456X211003639Morel, J. C., Charef, R., Hamard, E., Fabbri, A., Beckett, C., & Bui, Q. B. (2021). Earth as construction material in the circular economy context: Practitioner perspectives on barriers to overcome. In Philosophical Transactions of the Royal Society B: Biological Sciences (Vol. 376, Issue 1834). Royal Society Publishing. https://doi.org/10.1098/rstb.2020.0182Nazia Kabir, Md. Ramjan Ali, Md. Ariful Islam, Tasnia Thanim Mathin, Mritunjoy

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Shuyu Wang, The Ohio State University; Rachel Louis Kajfez, The Ohio State University

Improve the Soft Skills,” Journal of Engineering Education Transformations, vol. 33, no. 3, p. 75, Jan. 2020, doi: 10.16920/jeet/2020/v33i3/147042.[3] M. Hu, J. Ji, J. Duan, and Q. Wang, “Distributed wind power virtual simulation experiment system for cultivating the ability to solve complex engineering problems,” Comput Appl Eng Educ, vol. 29, no. 6, pp. 1441–1452, 2021, doi: 10.1002/cae.22396.[4] N. Wognum, C. Bil, F. Elgh, M. Peruzzini, and W. Verhagen, “Transdisciplinary Engineering Research Challenges,” 2018.[5] R. Stroud, “Is Transdisciplinary Education Engaging the 21st Century Engineering Student?,” tjes, vol. 11, Aug. 2020, doi: 10.22545/2020/00138.[6] R. J. Lawrence, “Deciphering

Conference Session

Track 5: Technical Session 6: Advancing Accessibility: Leveraging Technology to Empower Deaf and Hard of Hearing Students in STEM Higher Education

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Sunday David Ubur, Virginia Polytechnic Institute and State University; Sarah Over, Virginia Tech; Denis Gracanin, Virginia Polytechnic Institute and State University; C. Cozette Comer, Virginia Polytechnic Institute and State University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

. K. Bharti, “Real-time sign language converter for mute and deaf people,” in 2021 International Conference on Artificial Intelligence and Machine Vision (AIMV), IEEE, 2021, pp. 1–6.[33] Q. Fu, J. Fu, S. Zhang, X. Li, J. Guo, and S. Guo, “Design of intelligent human-computer interaction system for hard of hearing and non-disabled people,” IEEE Sensors Journal, vol. 21, no. 20, pp. 23 471–23 479, 2021.[34] T. H. Soe, F. Guribye, and M. Slavkovik, “Evaluating ai assisted subtitling,” in Proceedings of the 2021 ACM International Conference on Interactive Media Experiences, 2021, pp. 96–107.[35] F. Hamid Yousuf, A. Bushnaf Alwarfalli, and I. Ighneiwa, “Arabic sign language recognition system by using surface

Conference Session

International Division (INTL): Inclusive Global Engagement

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ana Maria Porras, University of Florida; Daniel Suarez, Pontificia Universidad Javeriana

Tagged Topics

Diversity

Tagged Divisions

International Division (INTL)

solve in the Week 1in Colombia were constrained to select a other country Synchronous class - presentations bychallenge specific to musculoskeletal disorders experts from bothand the students in the United States were countries and Q&Arestricted to problems within one of the followingbiomedical themes: neglected tropical diseases, Week 2cardiovascular disease, or orthopedics. Students start Week 3 As described below, our approach interacting

Conference Session

ECE-Embedded Systems Education: Innovation and Virtual Platforms

Collection

2025 ASEE Annual Conference & Exposition

Authors

Weiyu Sun, Georgia Institute of Technology; Jacqueline Rohde, Georgia Institute of Technology; Liangliang Chen, Georgia Institute of Technology; Yiming Guo, Georgia Institute of Technology; Ying Zhang, Georgia Institute of Technology

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 8

Collection

2025 ASEE Annual Conference & Exposition

Authors

Liuying Gong, School of Public Affairs, Zhejiang University; Jingyuan Chen; Min Ye, Zhejiang University

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

Deep Learning multilayer RNN; 4 NLP, Transformer, attention mechanisms; DL applications. The basic principles of RL; Reinforcement Q-learning algorithm; 2 Learning The development of RL applications.In contrast, as illustrated in Table 5, Course A not only includes a review of mathematics,computer science, and programming basics at the beginning of the course, but also dives deeperinto the details of AI knowledge, focusing on the implementation logic of AI algorithms andtools. This means a more in-depth exploration and

Conference Session

ECE-Embedded Systems Education: Innovation and Virtual Platforms

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sandip Das, Kennesaw State University; Craig A Chin, Kennesaw State University

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

step-based tutoring for linear circuit analysis and comprehensive evaluation," in Proc. 2022 American Society for Engineering Education Annual Conference, Minneapolis, MN, USA, June 2022. [2] J. Sweller, “Cognitive load during problem solving: Effects on learning,” Cogn. Sci., vol. 12, pp. 257-285, 1988. [3] J. W. Nilsson and S. Riedel, Electric Circuits, 12th ed. Boston, MA, USA: Pearson, 2022. [4] J. D. Irwin and R. M. Nelms, Basic Engineering Circuit Analysis, 12th ed. Hoboken, NJ, USA: Wiley, 2021. [5] C. D. Whitlatch, Q. Wang, and B. J. Skromme, "Automated problem and solution generation software for computer-aided instruction in elementary linear circuit analysis," in Proc. 2012 American

Conference Session

Industry and Technical Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Liliana Elizabeth Tarud, Auburn University; Joan Tisdale, University of Colorado Boulder

Tagged Divisions

Student Division (STDT)

: Based on the calculations, the pavement thickness needs toincrease from 8 to 9 inches to handle the increased load from EVs. Futureinfrastructure designs should consider this increased load to ensure road durabilityand safety.Appendix C Example Mathematical Calculation 2Case Study: Evaluating Bridge Load Capacity with Increasing EV TrafficBackground:A small bridge is designed to support a distributed load of q=4,000 lbs/ft under normal vehicletraffic. Anticipating variations in traffic, engineers initially designed the bridge to handle amaximum allowable load of Pmax=220,000 lbs, incorporating a safety margin above typicaltraffic loads. However, with the increasing adoption of electric vehicles (EVs), which aregenerally heavier than gas-powered

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Lynne P Cooper PhD, Vanderbilt University

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

didn’t have time to cover, or to areas where there is more depth to explore.They are encouraged to use these questions to either ask themselves during their Q&A period, orto prime the audience to get the Q&A rolling.2. Student Input Example: Class Contribution Extra Credit Assignment DesignStudents rarely get to provide input on class structure or the content of individual modules. Oftenthe class syllabus has often been carefully crafted to balance learning goals, workloads (forteachers, graders, and students), and overall flow. While not set in stone, changing one elementof the syllabus can have cascading effects for the rest.In the work world, however, there is more flexibility with respect to the detailed specificationand timing of

Conference Session

Poster Session-Electrical and Computer Engineering Division (ECE)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University; George D. Ricco, Miami University; Brian A Swanson, Miami University; Bryan Van Scoy, Miami University

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

self-improve,” arXiv preprint arXiv:2210.11610, 2022.[19] X. Wang, J. Wei, D. Schuurmans, Q. Le, E. Chi, S. Narang, A. Chowdhery, and D. Zhou, “Self-consistency improves chain of thought reasoning in language models,” arXiv preprint arXiv:2203.11171, 2022.[20] J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q. V. Le, D. Zhou et al., “Chain-of-thought prompting elicits reasoning in large language models,” Advances in neural information processing systems, vol. 35, pp. 24 824–24 837, 2022.[21] S. Yao, D. Yu, J. Zhao, I. Shafran, T. Griffiths, Y. Cao, and K. Narasimhan, “Tree of thoughts: Deliberate problem solving with large language models,” Advances in Neural Information Processing Systems, vol. 36, 2024.[22

Conference Session

Innovative Learning Tools and Visualizations in ECE Curriculum

Collection

2025 ASEE Annual Conference & Exposition

Authors

Danielle Sami Nasrallah PhD. eng., OPAL-RT Technologies; Angelo Antoine Chrabieh, OPAL-RT Technologies; Wolf Peter Jean Philippe, OPAL-RT Technologies; Georges Henri Haddad, Opal-RT Technologies

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

dictated by the grid as 1800 RPM and 460 V, respec- tively. If not, fuses will blow up and all values will decrease to zero. You have to restart the maneuver.Once the connection is done, the user will increase/decrease the field voltage ofthe DC machine, which will change the load at the coupling and consequently thepower flow as summarized in the table. Vf P Q Va Ia Speed Torque Angle (V) (W) (VAR) (V) (A) (RPM) (N.m) (deg) 413 -2 -62 460 1 1800 0 0 410 997 -177 460 3.2 1800 5.3 5.8 405 2594 -705 460 6.9 1800 14.1 15.6 400 4101 -1709

Conference Session

Evaluation and Assessment for Engineering Leadership Programs

Collection

2025 ASEE Annual Conference & Exposition

Authors

Maria Elena Truyol, Universidad Andres Bello, Santiago, Chile; Camila Zapata-Casabon, Universidad Andres Bello; Vicente Valenzuela-Riquelme M.Sc., Universidad Andres Bello, Santiago, Chile

Tagged Divisions

Engineering Leadership Development Division (LEAD)

, "Adaptation and validation of the MLQ-5X leadership scale to the Spanish educational context," Anales de Psicología, vol. 37, no. 2, pp. 367–375, May 2021, doi: 10.6018/analesps.37.2.425351.[8] G. Larsson, "The Developmental Leadership Questionnaire (DLQ): Some Psychometric Properties," Scandinavian Journal of Psychology, vol. 47, no. 4, pp. 253-262, Aug. 2006, doi: 10.1111/j.1467-9450.2006.00515.x.[9] S. M. R. Ting, "Predicting Asian Americans' Academic Performance in the First Year of College: An Approach Combining SAT Scores and Noncognitive Variables," Journal of College Student Development, vol. 41, no. 4, pp. 442-448, 2000.[10] Q. Jin, P. K. Imbrie, J. J. Lin, and X. Chen, "A Multi-Outcome Hybrid Model for Predicting

Conference Session

GSD 6: The Graduate School Experience

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alayna Grace Wanless, Kettering University; Diane L Peters P.E., Kettering University; Elizabeth Gross, Sam Houston State University

Tagged Divisions

Graduate Studies Division (GSD)

desire for more knowledge in my field of study d. A desire to pursue a passion e. A lack of something better to do f. A desire to make new discoveries in the field g. A desire for higher pay h. A desire to teach i. A desire to help others j. The lifestyle of an engineer k. A desire to conduct research l. Poor economy/lack of available jobs m. A desire to change careers n. A desire to advance in my career o. To obtain credential p. The high regard in which engineers are held q. The opportunity for me to apply undergraduate work to my Master’s requirements r. Other4. Please indicate the extent to which you utilized

Conference Session

Computers in Education Division (COED) Track 5.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sita Vaibhavi Gunturi, Pennsylvania State University, Harrisburg, The Capital College; Jeremy Joseph Blum, Pennsylvania State University, Harrisburg, The Capital College; Tyler S. Love, University of Maryland Eastern Shore

Tagged Divisions

Computers in Education Division (COED)

., Wang, X., Wang, J., Wu, Y., Zhu, K,, Chen, H., Yang, L., Yi, X., Wang, C.,Wang, Y., Ye, W., Zhang, Y., Chang, Y., Yu, P., Yang, Q. & Xie, Xing. (2024). A Survey onEvaluation of Large Language Models. CM Trans. Intell. Syst. Technol. 15, 3, Article 39(June), 45 pages. https://doi.org/10.1145/3641289Gemini for Google Workspace. 2024. Prompting guide 101: A quick-start handbook foreffective prompts, October 2024, https://services.google.com/fh/files/misc/gemini-for-google-workspace-prompting-guide-101.pdf, accessed 4/19/2025.Hsieh, H-F., & Shannon, S. E. (2005). Three Approaches to Qualitative Content Analysis.Qualitative Heath Research. 15, 9, 1277-1288. https://doi.org/10.1177/1049732305276687Huang, J., Gu, S., Hou, L., Wu, Y., Wang, X

Conference Session

Computing and Information Technology Division (CIT) Technical Session 7

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yu-Zheng Lin, The University of Arizona; Karan Patel, The University of Arizona; Ahmed H Alhamadah, The University of Arizona; Sujan Ghimire, The University of Arizona; Jesus Pacheco; Banafsheh Saber Latibari, The University of Arizona; Soheil Salehi, The University of Arizona; Pratik Satam, University of Arizona

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

, “The kirkpatrick model: A useful tool for evaluating training outcomes,” Journal of Intellectual and Developmental Disability, vol. 34, no. 3, pp. 266–274, 2009.[20] D. R. Krathwohl, “A revision of bloom’s taxonomy: An overview,” Theory into practice, vol. 41, no. 4, pp. 212–218, 2002.[21] A. Alhamadah, M. Mamun, H. Harms, M. Redondo, Y.-Z. Lin, J. Pacheco, S. Salehi, and P. Satam, “Photogrammetry for digital twinning industry 4.0 (i4) systems,” arXiv preprint arXiv:2407.18951, 2024.[22] Y.-Z. Lin, Q. Shi, Z. Yang, B. S. Latibari, S. Shao, S. Salehi, and P. Satam, “Ddd-gendt: Dynamic data-driven generative digital twin framework,” arXiv preprint arXiv:2501.00051, 2024.[23] D. Hamilton, J. McKechnie, E. Edgerton, and C. Wilson

Conference Session

Computers in Education Division (COED) Track 3.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Randy McDonald, Texas A&M University; Salvatore Enrico Paolo Indiogine; Nasiha Lachaud, Texas A&M University; Wei Lu, Texas A&M University; Mohammad Affan Khokhar

Tagged Divisions

Computers in Education Division (COED)

. Diwan, S. Srinivasa, G. Suri, S. Agarwal, and P. Ram, "AI-based learning content generation and learning pathway augmentation to increase learner engagement," Computers and Education: Artificial Intelligence, vol. 4, Jan. 2023. [Online]. Available: https://doi.org/10.1016/j.caeai.2022.100110[8] G. W. Choi, S. H. Kim, D. Lee, and J. Moon, "Utilizing generative AI for instructional design: Exploring strengths, weaknesses, opportunities, and threats," TechTrends, 2024. [Online]. Available: https://doi.org/10.1007/s11528-024-00967-w[9] D. Klein and P. McCartney, "Delivering live Q&A in videos via synthetic content generation using generative artificial intelligence," Tech. Disclosure Commons. [Online

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 8

Collection

2025 ASEE Annual Conference & Exposition

Authors

Resha Tejpaul, University of Minnesota ; Travis Henderson; Nicole Kennedy; Nikos Papanikolopoulos, University of Minnesota - Twin Cities

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

student might create a basic generativemodel or evaluate ChatGPT's performance in a robotics Q&A scenario. This approach integratesAI into the curriculum and prepares students for an AI-augmented workforce. An external surveyby the Digital Education Council found that 80% of students felt their university's AI integrationwas lacking [7]. Similarly, our Robotics students suggest that the curriculum hasn't fully adapted.Considering their feedback could position the program as a leader in effectively incorporatingGenerative AI.In conclusion, our research emphasizes the importance of equilibrium and preemptive adaptation.Students regard Generative Artificial Intelligence (GenAI) as both a robust educational instrumentand a considerable risk if

Conference Session

Emerging Technologies and AI Integration in ECE Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mojeed Olamide Bello, Morgan State University

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

real-world problem-solvingabilities.References1. R. Deng, G. Xiao, R. Lu, H. Liang, and A. V. Vasilakos, "False Data Injection on State Estimation in Power Systems—Attacks, Impacts, and Defense: A Survey," IEEE Transactions on Industrial Informatics, vol. 13, no. 2, pp. 411-423, Apr. 2017, doi: 10.1109/TII.2016.2614396.2. R. Deng, G. Xiao, R. Lu, H. Liang, and A. V. Vasilakos, "False Data Injection on State Estimation in Power Systems—Attacks, Impacts, and Defense: A Survey," IEEE Transactions on Industrial Informatics, vol. 13, no. 2, pp. 411-423, Apr. 2017, doi: 10.1109/TII.2016.2614396.3. Z. Zhao, Y. Shang, B. Qi, Y. Wang, Y. Sun, and Q. Zhang, "Research on Defense Strategies for Power System Frequency Stability Under False

Conference Session

Engineering Libraries Division (ELD) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kristina Bloch, University of Louisville; Campbell R Bego, University of Louisville

Tagged Divisions

Engineering Libraries Division (ELD)

Journal of Libraries & Information Services, 2008. 58(2): p. 66-73. https://doi.org/10.1515/libr.2008.0085. Anderson, T.D., Uncertainty in Action: Observing Information Seeking within the Creative Processes of Scholarly Research. Information Research: an international electronic journal, 2006. 12(1): p. n1.6. Hyldegård, J., Beyond the search process – Exploring group members’ information behavior in context. Information Processing & Management, 2009. 45(1): p. 142-158. https://doi.org/10.1016/j.ipm.2008.05.0077. Xu, Q., Investigating and understanding library data services to support college student data literacy competencies: A conceptual framework. Journal of Librarianship and