Conference Session

Culturally Responsive and Identity-Affirming Approaches in Pre-College STEM Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Timothy Wells, Arizona State University, Polytechnic Campus; Dina Verdin, Arizona State University, Polytechnic Campus

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

data for outliers by inspecting a boxplot of the difference scores (i.e., post-score of engineering for social impact beliefs minus pre-score of engineering for social impact beliefs). Nine outliers were identified; however, none of these values were in the extreme range and were retained in the analysis. We evaluated the assumption of normality by visually inspecting a Normal Q-Q Plot of the difference scores. The data appeared to follow a normal distribution with slight tails on the top and bottom but still satisfying the assumption. To examine the different factors that supported migratory students’ engineering for social impact beliefs after the activity (RQ2), we used a multiple regression analysis. Specifically, we looked at how

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Colin Jacob Soule, Bucknell University; Lea Wittie, Bucknell University; Sing Chun Lee, Bucknell University

Tagged Divisions

Computers in Education Division (COED)

/start_practice.php?q=q1 2 VR: https://eg.bucknell.edu/˜scl019/tool/start_practicevr.php?q=q13.3 Study DesignThe programming languages course at Bucknell University is a teaching-to-mastery course inwhich students must complete four quizzes with increasing difficulty for the syntax tree topic.Since the number of enrollments is 34, the experimental design will be parallel-group triple-anonymous, ensuring balanced allocation among the three groups. The study will be performedduring the last three syntax tree quizzes. After successfully finishing a level, the student will switchto a different group. Before students attempt the quizzes, they have free access to the same toolthey will use for practice. Students will be given clear instructions about

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Diana A. Chen, University of San Diego; Joel Alejandro Mejia, University of Cincinnati; Gordon D Hoople, University of San Diego; R. Jamaal Downey

Tagged Topics

NSF Grantees Poster Session

white.” Accessed: Jul. 01, 2021. [Online]. Available: https://www.teachingwhilewhite.org/podcast[13]​M. McLaughlin and G. L. DeVoogd, “Critical Literacy: Enhancing Students’ Comprehension of Text,” Education Review, 2005, [Online]. Available: http://edrev.asu.edu/edrev/index.php/ER/article/view/491[14]​P. Freire and D. Macedo, Literacy: Reading the Word and the World. Routledge & Kegan Paul, 1987.[15]​R. Q. Shin et al., “The development and validation of the Contemporary Critical Consciousness Measure II,” 2018. doi: 10.1037/cou0000302.[16]​R. Q. Shin, I. Ezeofor, L. C. Smith, J. C. Welch, and K. M. Goodrich, “The development and validation of the Contemporary Critical Consciousness Measure,” 2016. doi: 10.1037

Conference Session

ERM WIP II: Equity & Accessibility in Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rachel Figard, University of Georgia; Jennifer M Bekki, Arizona State University, Polytechnic Campus; Samantha Ruth Brunhaver, Arizona State University, Polytechnic Campus

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

undergraduateengineering," J. Eng. Educ., vol. 112, no. 4, pp. 918–937, 2023.[17] S. Iqtadar, D. I. Hern, and S. Ellison, "A qualitative research synthesis of disabilityresearch," Disabil. Stud. Q., vol. 40, no. 2, 2020.[18] S. L. Nolan, "The compounded burden of being a black and disabled student," Disabil. Soc.,vol. 37, no. 1, pp. 148–153, 2022.[19] L. Shallish, "Understanding Agency, Positionality, and Recognition in Higher Education,"Critical Readings in Interdisciplinary Disability Studies, pp. 171–179, 2020.[20] T. L. Strayhorn and J. Q. O. Johnson, "Experiences for Black College Men Living withDisabilities," Youth, vol. 3, no. 3, pp. 1063–1077, 2023.[21] K. Crenshaw, "Demarginalizing the intersection of race and sex: A black feminist critique

Conference Session

Liberal Education/Engineering & Society Division (LEES) Technical Session 1: Critical Reflections on Teaching and Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kent A. Wayland, University of Virginia; Caitlin Donahue Wylie, University of Virginia

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

experiences for undergraduates (REU) program,” Mentor. Tutoring Partnersh. Learn., vol. 31, no. 1, pp. 103–121, Jan. 2023, doi: 10.1080/13611267.2023.2164988.[7]​ M. C. Linn, E. Palmer, A. Baranger, E. Gerard, and E. Stone, “Undergraduate research experiences: Impacts and opportunities,” Science, vol. 347, no. 6222, p. 1261757, Feb. 2015, doi: 10.1126/science.1261757.[8]​ S. Howitt and A. Wilson, “Scaffolded Reflection as a Tool for Surfacing Complex Learning in Undergraduate Research Projects,” CUR Q., vol. 36, no. 4, pp. 33–38, May 2016, doi: 10.18833/curq/36/4/8.[9]​ C. Rodgers, “Defining Reflection: Another Look at John Dewey and Reflective Thinking,” Teach. Coll. Rec., vol. 104, no. 4, pp. 842–866, 2002.[10]​ D

Conference Session

ERM WIP I: Methodological Applications in the Disciplines

Collection

2025 ASEE Annual Conference & Exposition

Authors

Heze Chen, University of Virginia; Meiqin Li, University of Virginia; Anne M Fernando, University of Virginia

Tagged Divisions

Educational Research and Methods Division (ERM)

Learning and Teaching,” Journal of Statistics Education, vol. 26, no. 1, pp. 2–16, Jan. 2018, doi: 10.1080/10691898.2018.1436999.[3] J. Hanč, P. Štrauch, E. Paňková, and M. Hančová, “Teachers’ perception of Jupyter and R Shiny as digital tools for open education and science,” Jul. 2020, [Online]. Available: http://arxiv.org/abs/2007.11262[4] J. Manuel, G. Cárdenas, F. C. Aguilar, J. M. G. Cárdenas, and F. Casafranca Aguilar, “Implementation of a Computerized Assessment System by using Backpropagation Neural Networks with R and Shiny,” 2015.[5] T. N. Moore, R. Q. Thomas, W. M. Woelmer, and C. C. Carey, “Integrating Ecological Forecasting into Undergraduate Ecology Curricula with an R Shiny Application

Conference Session

ERM Technical Session: Examining Identity

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hector Enrique Rodríguez-Simmonds, Boston College; Sage Maul, Purdue University at West Lafayette (COE); Grayson Weston; Kendra Preval

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

spaces lack, this means of redefinition allows forinformed choices regarding the ways to invoke different epistemologies based on theirunderstanding of their sexual orientation and gender identity, comprehension of engineering, andwho they are as an individual.References [1]​ D. Riley, “Rigor/Us: Building Boundaries and Disciplining Diversity with Standards of Merit,” Eng. Stud., vol. 9, no. 3, pp. 249–265, 2017. [2]​ S. Stryker and P. J. Burke, “The past, present, and future of identity theory,” Soc. Psychol. Q., vol. 63, no. 4, pp. 284–297, Dec. 2000. [3]​ T. W. Smith, “Social identity and socio-demographic structure,” Int. J. Public Opin. Res., vol. 19, no. 3, pp. 380–390, 2007. [4]​ E. A. Cech and T. J. Waidzunas

Conference Session

Assessments, Feedback, & Grading

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ahmed Mowafy PEng, University of Alberta; Mohammad Talebi-Kalaleh, University of Alberta; Mohamed Sabek, University of Alberta; Harry Peng, University of Alberta; Mohammad Aqib, University of Alberta; Samer M. Adeeb P.Eng., University of Alberta; Mohamed Magdy Elgammal, University of Alberta; Clayton Pettit, University of Alberta

Tagged Divisions

Civil Engineering Division (CIVIL)

programming assignment marking tool. In 2022, the IEEE 7thInternational Conference for Convergence in Technology (I2CT) (pp. 1-8). IEEE.[17] Zhai, X., 2021. Advancing automatic guidance in virtual science inquiry: from ease of use topersonalization. Educational Technology Research and Development, 69(1), pp.255-258.[18] Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry,G., Askell, A. and Agarwal, S., 2020. Language models are based on few-shot learners. Advances in NeuralInformation Processing Systems, 33, pp.1877-1901.[19] J. Wei, X. Wang, D. Schuurmans, M. Bosma, B. Ichter, F. Xia, E. Chi, Q. Le, and D. Zhou. Chain-of-thoughtprompting elicits reasoning in large-language models. arXiv

Conference Session

WIP Poster Session: Emerging Research and Practices in Pre-College Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alex Gonce, Texas A&M University; Abigail Tran, Texas A&M University; Advay Bhattacharya, Texas A&M University; Meet Mahesh Gamdha, Texas A&M University; Michael S Rugh, Texas A&M University

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

). Academic Conferences International Limited.Tiede, J., & Grafe, S. (2018, September). Piloting two educational games in five european countries: Teachers' perceptions of student motivation and classroom engagement. In 2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games) (pp. 1-8). IEEE.Wang, L. H., Chen, B., Hwang, G. J., Guan, J. Q., & Wang, Y. Q. (2022). Effects of digital game-based STEM education on students’ learning achievement: A meta- analysis. International Journal of STEM Education, 9(1), 26. https://doi.org/10.1186/s40594-022-00344-0

Conference Session

WIP Poster Session: Emerging Research and Practices in Pre-College Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Timothy Brothers, Georgia Institute of Technology; Jacqueline Rohde, Georgia Institute of Technology; Mary Ann Weitnauer, Georgia Institute of Technology; Martta Sareva; Kristen Lyle; Kayla Henderson-Simms, Georgia Institute of Technology

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

, vol. 8, no. 1, pp. 305- 333, 2020.15. Georgia Department of Education. “Science K-5.” Georgia Standards of Excellence, www.georgiastandards.org/Georgia-Standards/Pages/Science-K-5.aspx. Accessed 15 Nov. 2024.16. A. Shalom, Q. Parker, J. Chen, K. Park. “Build Your Garden Kit.” Georgia Institute of Technology, https://bpb- us-w2.wpmucdn.com/sites.gatech.edu/dist/2/1694/files/2024/01/Team_A8-9ec65c31ddf2ba5e.pdf 5 Nov. 2023.17. School of Electrical and Computer Engineering, Georgia Institute of Technology. “ECE Design Fundamentals Museum.” Georgia Institute of Technology, https://sites.gatech.edu/ece-design-fundamentals- museum/ Accessed 15 Nov. 202418. Fall2023A8. YouTube, uploaded by A. Shalom, Q. Parker, J

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Wenhai Li, State University of New York, College of Technology at Farmingdale; Yue Hung, Farmingdale State College; Gonca Altuger-Genc, State University of New York, College of Technology at Farmingdale; Sen Zhang, State University of New York, Oneonta; Akin Tatoglu, University of Hartford; Zhou Zhang, State University of New York, College of Technology at Farmingdale

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering Division (MECH)

immediate and future rewards. The lecture focuses on Q-learning as a simple yet powerful RL algorithm, explaining the creation of a Q-table, the application of the Bellman Equation, and the significance of key parameters such as learning rate and discount factor. Additionally, the exploration-exploitation tradeoff is introduced, with an explanation of how the "ϵ-greedy policy" can effectively balance exploration and exploitation. To consolidate these challenging concepts, the lecture concludes with a hands-on example using Q-learning to solve a maze problem. This practical exercise demonstrates how RL can find the shortest path from a start to a goal point while avoiding obstacles, showcasing RL's

Conference Session

ENT-5: Pathways for Developing Entrepreneurial Skills Across Educational Levels

Collection

2025 ASEE Annual Conference & Exposition

Authors

Abigail Mulry, North Carolina State University at Raleigh; Chloe Hincher, North Carolina State University at Raleigh; Olgha Bassam Qaqish, North Carolina State University at Raleigh

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

thematic shifts are shown‬ ‭in‬‭Table 1‬‭.‬‭ key observation was the shift from expected personal skill development (e.g., teamwork and‬A‭communication) to a broader appreciation for global interconnectedness and real-world‬ ‭engineering applications. Students moved from individualistic goals to more communal and‬ ‭global perspectives, indicating that the study abroad experience reshaped how they viewed‬ ‭engineering within global contexts.‬ ‭Table 1. Q38 Theme Frequency Table‬ ‭Theme from‬ ‭Prague‬ ‭Prague‬ ‭Quito‬ ‭ uito‬ Q ‭Quito‬

Conference Session

Computers in Education Division (COED) Track 2.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education Division (COED)

, 2024.[26] J. Huang, S. S. Gu, L. Hou, Y. Wu, X. Wang, H. Yu, and J. Han, “Large language models can self-improve,” arXiv preprint arXiv:2210.11610, 2022.[27] 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.[28] 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.[29] S. Yao, D. Yu, J. Zhao, I. Shafran, T. Griffiths, Y. Cao, and K. Narasimhan, “Tree of thoughts: Deliberate problem solving

Conference Session

Cooperative and Experiential Education Division (CEED): Models, Methods & Frameworks for Experiential Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

YongChun Lin, Zhejiang University; Wei Zhang, Zhejiang University; peiyun xu

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

collaborative learning and reflecting on their experiences withinthe group. Second, a teaching assistant (TA) system is implemented. The project employs a “studentsteaching students” approach, selecting experienced participants from previous phases as TAs. Through agroup learning mechanism, TAs actively participate in creating learning community. The TA-to-studentratio is approximately 1:30, with online guidance for front-end design and offline guidance for SoCinternships. TAs provide key knowledge node guidance and encourage independent reflection. Accordingto the official website: “The TA team schedules weekly online meetings to hear progress reports fromeach student, with one minute allocated per student for targeted Q&A sessions.”The abstract

Conference Session

DSAI Technical Session 3: Integrating Data Science in Curriculum Design

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ashraf Badir, Florida Gulf Coast University; Ahmed S. Elshall, Florida Gulf Coast University

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

general circulation model with deep learning,” Geophys. Res. Lett., vol. 45, pp. 12616– 12622, 2018.[2] Q. Liu, R. Klucik, C. Chen, G. Grant, D. Gallaher, Q. Lv, and L. Shang, “Unsupervised detection of contextual anomaly in remotely sensed data,” Remote Sens. Environ., vol. 202, pp. 75–87, 2017.[3] V. Nourani, E. Foroumandi, E. Sharghi, and D. Dąbrowska, “Ecological-environmental quality estimation using remote sensing and combined artificial intelligence techniques,” J. Hydroinf., vol. 23, no. 1, pp. 47–65, 2021.[4] C. Shen and K. Lawson, “Applications of deep learning in hydrology,” in Deep Learning for the Earth Sciences, G. Camps-Valls, D. Tuia, X. X. Zhu, and M. Reichstein, Eds. 2021, doi: 10.1002

Conference Session

Engineering Technology Division (ETD) Technical Session 11

Collection

2025 ASEE Annual Conference & Exposition

Authors

Qudsia Tahmina, The Ohio State University at Marion; Kathryn Kelley, The Ohio State University; Sandra L. Furterer, The Ohio State University; David L. Tomasko, The Ohio State University

Tagged Divisions

Engineering Technology Division (ETD)

Practices forAssessment Paper presented at 2008 GSW, unknown. 10.18260/1-2-370-38553[8] J. K. Estell. A Heuristic Approach to Assessing Student Outcomes Using Performance Vectors.Proc. of the 2012 ABET Symposium, St. Louis, MO (2012).[9] Tahmina, Q., & Kelley, K., & Ulstad, A. T. (2021, July), Building an Effective ABET ETACAssessment Program from the Ground Up Paper presented at 2021 ASEE Virtual AnnualConference Content Access, Virtual Conference. 10.18260/1-2—36765[10] Tahmina, Q., & Kelley, K., & Furterer, S. L. (2023, June), Implementing an Effective ABETAssessment Program for a New Bachelor of Science in Engineering Technology Degree Paperpresented at 2023 ASEE Annual Conference & Exposition, Baltimore, Maryland. 10.18260

Conference Session

Computers in Education Division (COED) Track 4.E

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kyrie Zhixuan Zhou, University of Texas at San Antonio; Chunyu Liu, University of Illinois Urbana-Champaign; Yunqi Li, University of Illinois Urbana-Champaign; Devorah Kletenik, Brooklyn College, City University of New York; Rachel F. Adler, University of Illinois Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

for future education efforts.References [1] P. Conn, A Systematic Analysis of Accessibility Education Within Computing Disciplines. Rochester Institute of Technology, 2019. [2] P. Conn, T. Gotfrid, Q. Zhao, et al., “Understanding the motivations of final-year computing undergraduates for considering accessibility,” ACM Transactions on Computing Education (TOCE), vol. 20, no. 2, pp. 1–22, 2020. [3] C. M. Baker, Y. N. El-Glaly, and K. Shinohara, “A systematic analysis of accessibility in computing education research,” in Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020, pp. 107–113. [4] C. Putnam, M. Dahman, E. Rose, J. Cheng, and G. Bradford, “Best practices for

Conference Session

Systems Engineering Division (SYS) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Garrett Goodman, Miami University; Suman Bhunia, Miami University; Peter Jamieson, Miami University

Tagged Divisions

Systems Engineering Division (SYS)

. Paliouras, “BioASQ-QA: A manually curated corpus for Biomedical Question Answering,” Scientific Data, vol. 10, no. 1, p. 170, 2023.[17] G. Izacard and E. Grave, “Leveraging passage retrieval with generative models for open domain question answering,” arXiv preprint arXiv:2007.01282, 2020.[18] J. Huang, S. S. Gu, L. Hou, Y. Wu, X. Wang, H. Yu, and J. Han, “Large language models can 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

Conference Session

GSD 1: From Recruitment to Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

Anne Lynn Gillian-Daniel, University of Wisconsin - Madison; Rebecca Cors, University of Wisconsin - Madison; Wendy C. Crone, University of Wisconsin - Madison; Victor zavala, University of Wisconsin - Madison; Derek Johnson, University of Wisconsin - Madison; Kerri Lyn Phillips, University of Wisconsin - Madison

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies Division (GSD)

Conference Session

ERM Technical Session: Faculty Influences on Student Support

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gadhaun Aslam, University of Florida; Yuxuan Wang, University of Florida; Idalis Villanueva Alarcón, University of Florida; Edwin Marte, University of Florida

Tagged Divisions

Educational Research and Methods Division (ERM)

Spring 2019 andfocused on the textual data from different sections of the survey. The main idea is to recognizeemotions in the data for those individuals. The dataset for this research study was the responsescollected from the UPHEME survey. The focus of this study was on Q.5.2 only which was “Canyou think about an example of hidden curriculum you experienced in engineering? Brieflyexplain the situation and the emotions you had in that situation”. The total number ofresponses to the survey was 961 out of which 859 participants responded to Q.5.2. After datacleaning, the final number of emotional responses for Q.5.2. in UPHEME was 582.Methodology & MethodsThis study uses a pragmatist research paradigm by using NLP models to quantify

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - Ethics in ML/AI

Collection

2025 ASEE Annual Conference & Exposition

Authors

Emad Ali, Virginia Polytechnic Institute and State University; Bailey Kathryn McOwen, Virginia Polytechnic Institute and State University; Arsalan Ashraf, Virginia Polytechnic Institute and State University; Dayoung Kim, Virginia Polytechnic Institute and State University

Tagged Divisions

Engineering Ethics Division (ETHICS)

Conference Session

ME Division 3: Modern Tools and Methods in Structural Analysis and CAD

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jamie Szwalek, The University of Illinois at Chicago; Christopher Carducci, The University of Illinois at Chicago

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering Division (MECH)

=strongly disagree and 5=strongly agree, or 1=no impact and 5=mostimpact.Table 1. Survey instrument. The statements use a 5-point Likert rating scale. Construct Q# Statement Q1 I prefer to work on my own through the design process. Q27 I prefer to work on my own in my other classes. I believe the design review process can be a powerful learning tool for Q2 Growth Mindset design. Q3 I believe that with more design experience, I will become better at it. I appreciate it when teachers, coaches, or parents give me feedback on my Q5

Conference Session

Manufacturing Division (MFG) Technical Session 8

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jeritt Williams, Illinois State University; Jaby Mohammed, Illinois State University

Tagged Divisions

Manufacturing Division (MFG)

, vol. 50, no. 2, pp. 314–325, Nov.2022, doi: 10.1108/IR-05-2022-0136.[5] C. Xia et al., “A review on wire arc additive manufacturing: Monitoring, control and aframework of automated system,” Journal of Manufacturing Systems, vol. 57, pp. 31–45, Oct.2020, doi: 10.1016/j.jmsy.2020.08.008.[6] R. A. Buswell, W. R. Leal de Silva, S. Z. Jones, and J. Dirrenberger, “3D printing usingconcrete extrusion: A roadmap for research,” Cement and Concrete Research, vol. 112, pp. 37–49, Oct. 2018, doi: 10.1016/j.cemconres.2018.05.006.[7] J. Williams and K. L. Devine, “Developing a digital twin for highly flexible learningmodalities,” in Proceedings of the 2021 ATMAE Conference, Orlando, FL, Nov. 2021, pp. 67–76.[8] Q. K. Luu, H. M. La, and V. A. Ho, “A 3

Conference Session

Hands-on Learning and Industry-Relevant in ECE Curriculum Development

Collection

2025 ASEE Annual Conference & Exposition

Authors

Syed Hassan Tanvir, University of Florida; Gloria J Kim, University of Florida; Philip Feng, University of Florida

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

Implementation network and communication protocols cation 12 Quantum Introduction to Quantum •Introducing the concept of quantum sensing Sensing Sensing • Case study of optically detected magnetic resonance and quantum N/MEMS sensing 13 Quantum Introduction to Quantum •Introducing the concept of quantum simulation Simulation Simulations • Experiencing IBM-Q 14 Perspective Open discussion on Perspective •Open discussion and final project presentation and Future and Future

Conference Session

Lightning Talk - "Innovating for Impact: Community-Engaged Education, Technology, and Infrastructure for a Sustainable Future

Collection

2025 ASEE Annual Conference & Exposition

Authors

Polly Parkinson, Utah State University; Emma Mecham, Utah State University; Fawn Groves, Utah State University; Ivonne Santiago, University of Texas at El Paso; Amy Wilson-Lopez, Utah State University - Engineering Education

Tagged Topics

Diversity

Tagged Divisions

Community Engagement Division (COMMENG)

disadvantaged communities in California.” Transport Policy, 78, 19–30, 2019. https://doi-org.dist.lib.usu.edu/10.1016/j.tranpol.2019.03.009[36] Q. Zhang, H. Li, L. Zhu, P. E. Campana, H. Lu, F. Wallin, and Q. Sun, “Factors influencing the economics of public charging infrastructures for EV–A review.” Renewable and Sustainable Energy Reviews, 94, 500–509, 2018. https://doi- org.dist.lib.usu.edu/10.1016/j.rser.2018.06.022[37] H. Gong, M. Q. Wang, and H. Wang, “New energy vehicles in China: policies, demonstration, and progress.” Mitigation and Adaptation Strategies for Global Change,18, 207-228, 2013.[38] J. Dixon, P. B. Andersen, K. Bell, and C. Træholt, “On the ease of being green: An investigation of the

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2025 ASEE Annual Conference & Exposition

Authors

James Weichert, Virginia Polytechnic Institute and State University; Hoda Eldardiry, Virginia Polytechnic Institute and State University

Tagged Divisions

Computing and Information Technology Division (CIT)

. Aler Tubella, M. Mora-Cantallops, and J. C. Nieves, “How to teach responsible AI in Higher Education: challenges and opportunities,” Ethics and Information Technology, vol. 26, Dec. 2023. [4] Exec. Order No. 14110, 88 CFR 75191. 2023. [5] J. Weichert and H. Eldardiry, “Computer Science Student Attitudes Towards AI Ethics and Policy: A Preliminary Investigation,” in Proceedings of the 2024 IEEE International Symposium on Technology and Society, Puebla, Mexico, 2024. [6] J. Weichert, D. Kim, Q. Zhu, and H. Eldardiry, “’Do I Have to Take This Class?’: A Review of Ethics Requirements in Computer Science Curricula,” in Proceedings of the ACM Technical Symposium on Computer Science Education. Pittsburgh, PA, USA: Association for

Conference Session

NSF Grantees Poster Session I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Andrea Ramirez-Salgado, University of Florida; Swarup Bhunia; Pavlo Antonenko; Woorin Hwang, University of Florida; Christine Wusylko, University of Florida; Yessy Eka Ambarwati, University of Florida; Tanvir Hossain, The University of Kansas; Tamzidul Hoque, The University of Kansas; Rohan Reddy Kalavakonda, University of Florida

Tagged Topics

NSF Grantees Poster Session

scale: Assessing the influence of intrapersonal factors that influence technology integration,” Comput. Sch., vol. 25, no. 1–2, pp. 98–111, 2008.[15] C. Alvarado and Z. Dodds, “Women in CS: an evaluation of three promising practices,” presented at the Proceedings of the 41st ACM technical symposium on Computer science education, 2010, pp. 57–61.[16] J. Margolis, A. Fisher, and F. Miller, “The anatomy of interest: Women in undergraduate computer science,” Womens Stud. Q., vol. 28, no. 1/2, pp. 104–127, 2000.

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Fatemeh Karimi Kenari, University of North Carolina at Charlotte; yasaswi bhumireddy, University of North Carolina at Charlotte; Xiaoliang Yan, Georgia Institute of Technology; Mahmoud Dinar, University of North Carolina at Charlotte; Shreyes N Melkote, Georgia Institute of Technology

Tagged Topics

NSF Grantees Poster Session

knowledge bases, theAdviser provides context-relevant answers.Despite its potential strength, the system faces challenges in adapting some responses to theuser’s level due to the unsuitability of the prompt questions for that level. Future work couldaddress these limitations by using other self-attention mechanisms like BERT for NLP tasks.Other LLMs such as Gemini and specialized Manufacturing LLMs could be explored for betteraccuracy in manufacturing queries. Incorporating visual language models (VLMs) will enhanceinteraction with the Adviser. For example, integrating CAD models and process diagrams couldenable the Adviser to provide real-time feedback on manufacturability and design considerations.Furthermore, a reverse Q and A (asking users

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Karl D. Schubert FIET, University of Arkansas; Carol S Gattis, University of Arkansas; Xochitl Delgado Solorzano, University of Arkansas; Jennie S Popp Ph.D.; Chunhua Cao, The University of Alabama; Leslie Bartsch Massey, University of Arkansas; Thomas Carter III, University of Arkansas

Tagged Topics

NSF Grantees Poster Session

real-world challenges. Students engaged in industry-partnered projectsthat allowed them to apply what they learned in class to real-world situations. Lessons learned:1) Synthesis days were incorporated into the schedule for the second cohort to help students betterintegrate and connect the topics. 2) With the first cohort, students were often bored by the lack ofspeaker interaction, and they had difficulty formulating questions on the spot during the Q&A.Therefore, for the second cohort, speakers were asked to be more interactive, and students wereprovided with speaker information ahead of time so they could formulate questions in advance.Field Trips: Field trips to companies and start-ups were planned but proved challenging.Conflicting

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Eduardo Santillan-Jimenez, University of Kentucky; Carissa B. Schutzman Ph.D., University of Cincinnati; Teresa Michelle Encalada, University of Cincinnati

Tagged Topics

NSF Grantees Poster Session

upon work supported by the National Science Foundation ResearchTraineeship program under Award Number 1922694.References[1] E. Santillan-Jimenez, Q. Duan, J. Dariotis, and M. Crocker, "Enhancing graduate education by fully integrating research and professional skill development within a diverse, inclusive and supportive academy," in 2020 ASEE Virtual Annual Conference, 2020, DOI: 10.18260/1-2--34569. [Online]. Available: https://peer.asee.org/34569[2] E. Santillan-Jimenez, J. E. Parker, K. Mabisi, C. B. Schutzman, and M. Crocker, "Description, Assessment, and Outcomes of Three Initial Interventions Within a National Science Foundation Research Traineeship (NRT): Onboarding Event, Career Exploration Symposium, and