Conference Session

Computing and Information Technology Division (CIT) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Marjan Asadinia, California State University, Northridge; Sherrene Bogle, California Polytechnic State University Humboldt ; Rowena Quinn

Tagged Divisions

Computing and Information Technology Division (CIT)

expressed in this paper are those of the authors anddo not necessarily reflect the views of the NSF.References [1] A. Ehrmann, T. Blachowicz, G. Ehrmann, and T. Grethe, “Recent developments in phase- change memory,” Applied Research, Jun. 2022, doi: https://doi.org/10.1002/appl.202200024. [2] R. Azevedo, J. D. Davis, K. Strauss, P. Gopalan, M. Manasse, and S. Yekhanin, “Zombie memory: Extending memory lifetime by reviving dead blocks,” in Proceedings of the Inter- national Symposium on Computer Architecture (ISCA), 2013. [3] H. Luo et al., “Write Energy Reduction for PCM via Pumping Efficiency Improvement,” ACM Transactions on Storage, vol. 14, no. 3, pp. 1–21, Aug. 2018. [4] J. Fan, S. Jiang, J. Shu, Y. Zhang, and W. Zhen

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

Tagged Divisions

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

; ReciprocityTheory. Affective trust reflects the felt sense that the agent—and its creators—will notexploit me, even when errors occur (Hoff & Bashir, 2015).Scenario. A fleet of delivery drones share battery-level data so that heavy loads can bedynamically reassigned. One drone misses a single update because of packet loss; theswarm’s controller warns, retries twice, then re-admits the drone once communicationstabilises. Operators interpret the system as forgiving honest mistakes rather than“punishing” at the first fault.Design Lever P2 – Adaptive Reciprocity Engine.Default to cooperation; punish once on confirmed defection; forgive quickly whencooperation resumes (Tit-for-Tat/Win-Stay-Lose-Shift). • Professional virtue fostered: Reciprocity

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)

through the information literate university. A faculty's perspective," The Journal of Academic Librarianship, vol. 48, no. 3, 2022, doi: 10.1016/j.acalib.2022.102519.[4] S. Hyde, A. Flatau, and D. Wilson, "Integrating threshold concepts with reflective practice: Discussing a theory-based approach for curriculum refinement in dental education," Eur J Dent Educ, vol. 22, no. 4, pp. e687-e697, Nov. 2018, doi: 10.1111/eje.12380.[5] V. M. Tucker, J. Weedmand, C. S. Bruce, and S. L. Edwards, "Learning Portals: Analyzing Threshold Concept Theory for LIS Education," Journal of Education for Library and Information Science, vol. 55, no. 2, pp. 150-165, 2014. [Online]. Available: https://www.jstor.org

Conference Session

Persistence, Outcomes and Barriers for Women in Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Susanna Maria Bairoh, Academic Engineers & Architects in Finland TEK; Johanna Naukkarinen, Lappeenranta-Lahti University of Technology LUT

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering Division (WIED)

recruiting sessions?” Social Studies of Science, Vol. 48(1): 149–164, 2018. https://doi.org/10.1177/0306312718756766 9. S. J. Ceci, D. K. Ginther, S. Kahn, and W. M. Williams, “Women in academic science: A changing landscape”, Psychological Science in the Public Interest, Vol. 15(3): 75–141, 2014. https://doi.org/10.1177/1529100614541236 10. A. Chapple and S. Ziebland, “Challenging explanations for the lack of senior women in science: Reflections from successful women scientists at an elite British University”, International Journal of Gender, Science and Technology, Vol.9(3), 2017. Available at: http://genderandset.open.ac.uk/index.php/genderandset/article/view/471 (Downloaded January 13

Conference Session

First-Year Programs Division (FPD) Technical Session 4: Fostering Belonging - Identity, Self-Efficacy, and Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

Peter M Ostafichuk P.Eng., University of British Columbia, Vancouver; Carol Jaeger, University of British Columbia, Vancouver; Alireza Bagherzadeh, University of British Columbia, Vancouver; Jon Nakane, University of British Columbia, Vancouver

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FPD)

, “Good vibrations: students' well-being,” Trends Shaping Education Spotlights, No. 14, OECD Publishing, Paris, 2018.[25] C. Baik, W. Larcombe, and A. Abi Brooker, “How universities can enhance student mental wellbeing: the student perspective, Higher Education Research & Development, vol. 38, no. 4, pp. 674–687, 2019.[26] R. Paul, O. Adeyinka, M. Boyce, G. Eldib, et al., “Impact of integrating mental wellness and personal learning reflections into first-year undergraduate engineering courses,” in Proc. CEEA-ACEG 2021, Toronto, ON., 2021.[27] J. E. Tait, L. A. Alexander, E. I. Hancock, and J. Bisset, “Interventions to support the mental health and wellbeing of engineering students: a scoping review,” European Journal of

Conference Session

Computers in Education Division (COED) Track 4.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hossein Jamali, University of Nevada, Reno; Andrew L DeBolt; Henry Dalton, University of Nevada, Reno; Jenavieve K Layosa, University of Nevada, Reno; Ilana Rose Macy; Ponkoj Chandra Shill, University of Nevada, Reno; David Feil-Seifer, University of Nevada, Reno; Frederick C Harris, University of Nevada, Reno; Sergiu Dascalu, University of Nevada, Reno; Rui Wu, East Carolina University

Tagged Divisions

Computers in Education Division (COED)

reflects a commitment to creating innovative, leading-edge, and transparent computing solutions that enhance user experience and promote inclusivity.Andrew L DeBoltHenry Dalton, University of Nevada, Reno Henry is a senior in the Computer Science and Engineering Program at the University of Nevada, Reno and is set to graduate this Spring, 2025.Jenavieve K Layosa, University of Nevada, RenoIlana Rose MacyPonkoj Chandra Shill, University of Nevada, Reno PhD Student in Computer Science at University of Nevada, Reno.Dr. David Feil-Seifer, University of Nevada, Reno David Feil-Seifer is an Associate Professor in Computer Science & Engineering at the University of Nevada, Reno. His primary research interests are Socially

Conference Session

Mechanics Division (MECHS) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Thomas Golecki, University of Illinois at Urbana - Champaign; Mikayla R Hoyle, University of Illinois at Urbana - Champaign; Melany Denise Opolz, University of Illinois at Urbana - Champaign; Jean-Christophe Raymond-Bertrand, University of Illinois at Urbana - Champaign; Nikhil Chandra Admal, University of Illinois Urbana-Champaign; Wayne L Chang, University of Illinois Urbana-Champaign; Kellie M Halloran, University of Illinois Urbana-Champaign; Callan Luetkemeyer, University of Illinois at Urbana - Champaign; Brian Mercer, University of Illinois at Urbana - Champaign; Matthew West, University of Illinois Urbana-Champaign; Mariana Kersh, University of Illinois at Urbana-Champaign

Tagged Divisions

Mechanics Division (MECHS)

learning what we are learning.In a recent offering of this course, we aimed to build a sense of ownership and intuitiveunderstanding of the relationships implied in the equations being discussed. The main idea is totake an equation used in class and show how it relates to real-world situations. We hypothesizethat by relating the equation to a real-world example, the value of the course content is morereadily apparent to students. Here the inclusion of multiple real-world example problems isevaluated via student surveys before and after the semester. The survey ask students to evaluatestatements reflecting how well the course achieved the 3C’s of the KEEN framework: Curiosity,Connections, and Creating Value [5].MethodsThis study was conducted a

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)

.” Thisshows that such applications foster critical thinking and technical expertise, giving studentspractical experience with real-world engineering scenarios.Students overwhelmingly supported the use of these tools in future courses, reflecting a strongpreference for technology-driven learning methods. This indicates that software tools are notonly supplementary but essential for understanding complex topics and bridging the gap betweentheory and practice. However, feedback about academic staff support and access to software wasmixed, highlighting a need for improvement in this area. Providing better resources, such astutorials, software licenses, and workshops, could address these concerns and further enhance thelearning experience. Overall, the

Conference Session

Informal Education and Outreach Programs for Women Engineering Students

Collection

2025 ASEE Annual Conference & Exposition

Authors

Lillian Clark Jeznach, Roger Williams University; Maija A Benitz, Roger Williams University

Tagged Divisions

Women in Engineering Division (WIED)

women than men, whereas academic stressors for both genders were similar. Despitethe high stress levels during the pandemic years, measures of engineering self-efficacy for bothgenders in this engineering program remained relatively stable over time. This may indicateresiliency of the students and their engineering self-efficacy during this challenging time, andmay also reflect the efforts of the faculty to remain in-person and as “normal” as possible duringthis period (e.g., teaching in physical classrooms as much as possible). The study providesinformation on the resiliency of the engineering students at this institution throughout the last sixyears, including both before and after the COVID pandemic as well as offers insight as to

Conference Session

Mechanics Division (MECHS) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mikayla R Hoyle, University of Illinois at Urbana - Champaign; Melany Denise Opolz, University of Illinois at Urbana - Champaign; Jean-Christophe Raymond-Bertrand, University of Illinois at Urbana - Champaign; Nikhil Chandra Admal, University of Illinois Urbana-Champaign; Wayne L Chang, University of Illinois Urbana-Champaign; Thomas Golecki, University of Illinois at Urbana - Champaign; Kellie M Halloran, University of Illinois Urbana-Champaign; Callan Luetkemeyer, University of Illinois at Urbana - Champaign; Brian Mercer, University of Illinois at Urbana - Champaign; Matthew West, University of Illinois Urbana-Champaign; Mariana Kersh, University of Illinois at Urbana-Champaign

Tagged Divisions

Mechanics Division (MECHS)

jumping into complex application problems without reviewing a simpler problemfirst.This study had several limitations. First, lectures were not included in the course content data. Forthese courses, the core lecture slides are the same between professors, but how a professorintroduces them and incorporates real-world applications is not standardized. Different sectionsof a course within a semester are not exactly the same. Future research could include the lecturecontent. Another limitation is that only one semester was included. Future studies should includemore semesters. Only about a third of the statics students take the whole course, so the end of thestatics course only reflects these students. Including the students that are only required

Conference Session

ECCNE Technical Session 1 - Nuclear Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

DuWayne Schubring, University of Florida; Ira Harkness, University of Florida; Andreas Enqvist

Tagged Divisions

Conservation and Nuclear Engineering Division (ECCNE), Energy Conversion

inconsistent. The primary bifurcation of programs was if bothstatics and Physics 1 were required. Since the University of Florida requires Physics 1 for allengineering degrees, the NEP policy of requiring statics and mechanics of materials, but notdynamics, reflected the consensus of aspirant-peer programs.Second, the separation of thermal-fluid sciences (thermodynamics, fluid mechanics, heattransfer), reactor thermal hydraulics, reactor systems, and capstone design was inconsistent.There were two independent types of difference in this area. First, some programs (including the2012 University of Florida NEP) relied heavily on mechanical or chemical engineering thermal-fluids courses; others did this in-house. Second, reactor thermal hydraulics and

Conference Session

ME Division 5: Advancing Robotic and Mechanisms Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Robert Montgomery III, Kennesaw State University; Madeline G Bishop, Kennesaw State University; Sydney Jones, Kennesaw State University; Vanessa S Young, Kennesaw State University; Sagar Patel, Kennesaw State University; Erin Keeney, Kennesaw State University; Coskun Tekes; Tris Utschig, Kennesaw State University; Ayse Tekes, Kennesaw State University

Tagged Divisions

Mechanical Engineering Division (MECH)

criteria Use differential calculus solutions to complete your analysis of this(behaviors you should system.follow to perform the Validate the measured data and modify data set appropriately for furtheractivity well) analysis. Report outcomes using professional language that reflects deep thinking for interpretation of results. Use appropriate resources such as Copilot (recommended) to generate necessary codes and websites for wiring the encoder and Arduino. This lab integrates the fundamentals of vibrations from ENGR 3125Connections (to other

Conference Session

Diversity, Inclusion, and Representation in STEM

Collection

2025 ASEE Annual Conference & Exposition

Authors

Emma Sophie Stine, University of Colorado Boulder; Tiera Tanksley, University of Colorado Boulder; Amy Javernick-Will, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

Community Engagement Division (COMMENG)

reinforce colonial "white savior" mentalities [16].Deficit Thinking: A Persistent Barrier in Higher EducationThese challenges reflect deeper historical patterns in U.S. higher education's approach todiversity and inclusion. A deficit-based mindset - viewing marginalized students through the lensof their perceived shortcomings rather than their strengths - has persistently shaped educationalinstitutions' responses to calls for increased representation [1], [17]. This perspective manifests inthree key ways: attributing educational challenges to individual or cultural deficiencies ratherthan structural barriers; perpetuating stereotypes about marginalized communities' capabilities;and focusing on "fixing" students rather than transforming inequitable

Conference Session

Design in Engineering Education Division (DEED) - Visual Strategies in Design

Collection

2025 ASEE Annual Conference & Exposition

Authors

Logan Izaiah Abraham, Florida Polytechnic University; Elisabeth Kames Ph.D., Florida Polytechnic University

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education Division (DEED)

normally distributed while the scores for all other genders were not. Due to the differences in normality, a rank sum comparison of participants who had completedboth the pre and post-PSVT:R was performed using a Kruskal-Wallis Test to compare medians.On the pre-PSVT:R, males outperformed all other genders by an average of .84 points, which isnearly 10% of the points that could be awarded. On the post-test, males scored lower on averagethan their pre-test and were outperformed by the remaining genders. This is reflected in the pre topost-PSVT:R differences, where males scored an average of .14 points less than they did on theinitial test, while females and prefer not to say increased by an average of almost one point. Table 3: Kruskal

Conference Session

Aerospace Division (AERO) Technical Session 1 - Experiential Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Steven Chene Chetcuti, United States Military Academy; Brodie Hoyer, United States Military Academy; Aaron T Hill Jr. P.E., United States Military Academy; Drew Alan Curriston

Tagged Topics

Diversity

Tagged Divisions

Aerospace Division (AERO)

aerospace engineering program provided thebest model for this proposal. In contrast, USAFA offers both aeronautical and astronauticalprograms, but not a single aerospace program like the Naval Academy. Thus, the currentproposal was modeled on USNA’s. Their chair, Dr. Chris Pettit, and one of their professors, Dr.Jin Jang, were particularly helpful in providing information on their courses and structure as wellas feedback during this process. In its current form, the program proposal is comparable to the aerospace program atUSNA in terms of course count and topics reflected in the ABET program criteria. The largestdifference between the programs is the number of credit hours devoted to materials andstructures (USNA has more) and design (USMA

Conference Session

ERM Technical Session: Examining Undergraduate Recruitment & Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sean Maw, University of Saskatchewan; Peter M Ostafichuk P.Eng., University of British Columbia, Vancouver; Brian M Frank P.Eng., Queen's University; Lawrence R Chen, McGill University; Paul Neufeld P.Eng., MBA, PMP, University of Saskatchewan; Jason Grove P.E., University of Waterloo; Carolyn G. MacGregor P.Eng., University of Waterloo; Kimia Moozeh, University of Toronto; Grant McSorley, University of Prince Edward Island; Rubaina Khan, Queens University

Tagged Divisions

Educational Research and Methods Division (ERM)

perfect average of all the other results, potentially reflecting the fact that many of theFY students were in a common first year (not yet sorted into majors).We used 3 sets of majors for analyses, including the 29 distinctively named majors, the 10thematic clusters of majors, and the 9 “common majors”. While all three sets showed similarpatterns and qualities, the 29 specific majors showed the most statistically significant differences,likely due to the several smaller majors showing unique characteristics. The 10 clustersaveraged some of those differences out but also had larger n values per group (cluster). The 9“common majors” shared some qualities with both the 29 specific majors and the 10 clusters.Indeed, the nine common majors included

Conference Session

Software Engineering Division (SWED) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ingrid Buckley, Florida Gulf Coast University; Bogdan Carbunar, Florida International University; Juan P Sotomayor, Florida International University; Peter J Clarke, Florida International University

Tagged Divisions

Software Engineering Division (SWED)

-proving Undergraduate STEM Education (IUSE) program under Award Numbers DUE-1562773(Florida Gulf Coast University), DUE-1525112, DGE-2114911, and CNS-2246004 (Florida Inter-national University). Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of Cyber Florida or theNSF.References [1] Steve Morgan. Cybercrime To Cost The World $10.5 Trillion Annually By 2025, Nov. 2020. https://cybersecurityventures.com/cybercrime-damage-costs-10-trillion-by-2025/ [Online] (Accessed Dec. 2024). [2] Cayley Wetzig. 5 Alarming Cybersecurity Facts and Statistics, Nov. 2022. https://thrivedx.com/resources/article/cyber-security-facts-statistics

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)

testing against LLMs at the time would require students to provide the model with the missing information in order to pass all test cases. • 54 States and Counting: This problem tasks students with implementing a lookup system that reflects historical and newly proposed changes to U.S. state names, abbreviations, and capitals. Only partial information was provided about current state abbreviations and capitals, to encourage students to use the LLMs to retrieve a complete listing of this information. Moreover, testing revealed that LLMs would typically produce code with bugs due to the introduction of new states and the redefinition of some of the abbreviations. The goal was to encourage students

Conference Session

Minorities in Engineering Division(MIND) Technical Session 16

Collection

2025 ASEE Annual Conference & Exposition

Authors

Skyler J Kern, University of Alaska Anchorage; Michele Yatchmeneff, University of Alaska Anchorage; Linda P Lazzell, University of Alaska Anchorage; Matt Calhoun, University of Alaska Anchorage

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

was to get as far ahead as possible and get involved with ANSEP as soon as possible. Thedesire to get ahead was also reflected in responses to the prompt about why students firstparticipated in ANSEP. Multiple students indicated that to them ANSEP was an avenue to besuccessful in college by getting ahead.ANSEP Middle School Academy ImprovementsANSEP and others have shown that early exposure to science and engineering improves STEMparticipation [4], [8]. ANSEP therefore expanded the Middle School Academy into K-6. Theyutilized their hands-on STEM activities to reach younger Alaska Native students to inspire themto consider STEM degrees and professions. The survey results also indicated that ANSEP facultyand staff were important contributors to

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)

and learning. Early perceptions of teaching and learning withgenerative AI indicate its potential to enhance educational outcomes, although concerns aboutacademic integrity remain prevalent [10].According to Choi et al., [8] Instructional Designers perceive generative AI tools as valuablepartners in course development. They appreciate the ability of these tools to generate initialdrafts quickly, saving time and resources. However, they also note that AI-generated contentrequires careful refinement to ensure educational quality and relevance. Overall, instructionaldesigners see generative AI as enhancing their capabilities rather than replacing their expertise.The perceptions of program administrators are reflected in the literature of several

Conference Session

Computers in Education Division (COED) Track 3.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Maria R. Ebling, United States Military Academy; Ryan Edward Dougherty, United States Military Academy; Nicholas Clark, University of St. Thomas

Tagged Divisions

Computers in Education Division (COED)

offerings of CS481for their willingness to support computer science education research. The views expressed in thisarticle are those of the author(s) and do not reflect the official policy or position of the Departmentof the Army, Department of Defense, or the U.S. Government.References [1] D. Gentner. The Structure of Analogical Models in Science. 4451. Available at https:// archive.org/details/DTIC ADA087625/page/n1/mode/2up. Bolt Berenek and Newman, Inc., July 1980. [2] S. Fincher et al. “Capturing and Characterising Notional Machines”. In: Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education. ITiCSE ’20. Trondheim, Norway: Association for Computing Machinery, 2020, pp. 502–503

Conference Session

Sustainability and Social Responsibility

Collection

2025 ASEE Annual Conference & Exposition

Authors

Emma Marie Padros, Rowan University; Marcella McMahon, Rowan University; Barnabas Gao, Rowan University; Brendan Weil, Rowan University; Robert P. Hesketh, Rowan University; C. Stewart Slater, Rowan University; Kirti M Yenkie, Rowan University

Tagged Divisions

Chemical Engineering Division (ChED)

its educationalimpact.Overall, the activity successfully educated students about sustainability and LCA, sparking theirinterest in STEM and environmental issues. The positive survey results reflect its success inachieving its objectives. Moving forward, incorporating deeper analyses and strongersustainability metrics could further enrich the activity’s educational and environmental impact.5.0 ConclusionThe activity introduced students to the concepts of pollution prevention and life cycle analysis(LCA) through the everyday example of popcorn-making. The activity highlighted the significanceof sustainable practices, emphasizing topics not covered within the traditional school curricula.Four different popcorn popping technologies; the microwave

Conference Session

Expanding STEM Access and Belonging: Programs and Practices for Inclusive K–12 Engagement

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hua Li, Texas A&M University - Kingsville; Kai Jin, Texas A&M University - Kingsville; Mohammad Motaher Hossain, Texas A&M University - Kingsville; Marsha Sowell, Texas A&M University - Kingsville; Benjamin Turner, Texas A&M University - Kingsville; Hui Shen, Texas A&M University - Kingsville; Xiaoyu Liu, Texas A&M University - Kingsville; Michael Preuss, Exquiri Consulting, LLC

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

preparingteachers to educate Latina/o bilingual children. Review of Research in Education, 2013. 37(1): p.269-297.[4] Aronson, B.; Laughter, J.; The theory and practice of culturally relevant education: Asynthesis of research across content areas. Review of Educational Research, 2016. 86(1): p. 163-206.[5] Civitillo, S.; Juang, L.P.; Badra, M.; Schachner, M.K.; The interplay between culturallyresponsive teaching, cultural diversity beliefs, and self-reflection: A multiple case study.Teaching and Teacher Education, 2019. 77: p. 341-351.[6] Matthews, J.S.; López, F.; Speaking their language: The role of cultural content integrationand heritage language for academic achievement among Latino children. ContemporaryEducational Psychology, 2019. 57: p. 72-86.[7

Conference Session

GSD 4: Stressors and Supports

Collection

2025 ASEE Annual Conference & Exposition

Authors

Laura Albrant, Michigan Technological University; Leo C. Ureel II, Michigan Technological University; Lynn A. Albers, Hofstra University

Tagged Divisions

Graduate Studies Division (GSD)

patient. • If it interests you, try it. • Stay connected to those you love and care about while away from home and lean on your support systems as needed. • Do it scared and follow through.AcknowledgmentsThis work was partly funded by the National Science Foundation award #2142309. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the NSF.This paper partially fulfills the requirements of Laura Albrant’s practicum requirements for theirPhD work at Michigan Technological University.Dr. Leo Ureel wishes to thank Dr. Lynn Albers for everything she has done to make Laura Al-brant’s practicum a roaring success. Her attention to detail

Conference Session

ME Division 10: Innovation in the Sophomore Year

Collection

2025 ASEE Annual Conference & Exposition

Authors

Marino Nader, University of Central Florida; Ricardo Zaurin, University of Central Florida; Michelle Taub, University of Central Florida; Sierra Outerbridge, University of Central Florida; Harrison N Oonge, University of Central Florida; Hyoung Jin Cho, University of Central Florida

Tagged Divisions

Mechanical Engineering Division (MECH)

goals set before them as per Freeman28, using the GeneralSelf-Efficacy (GSE) Scale (.76  α  .90) of Chen et al.32, which provides a range of 1-4 [Not Trueat All (1), Hardly True (2), Moderately True (3), and Exactly True (4)] with a sum score for themeasure, and the total was divided by 40 to provide a continuous percentage score for GSE. Ahigher score indicates higher general self-efficacy.SRL refers to the cyclical process in which an individual sets goals, plans, performs, and reflectson their own learning to adapt within a learning environment described by P.H. Winne & A. F.Hadwin33. MAT and PBH allow for students to engage with the material overtime and reflect ontheir own learning needs, providing opportunities for students to

Conference Session

Engineering Technology Division (ETD) Technical Session 6

Collection

2025 ASEE Annual Conference & Exposition

Authors

Harpreet Auby, Tufts University; Milo Koretsky, Tufts University

Tagged Divisions

Engineering Technology Division (ETD)

negative affect did not correlate with any of the other factors. This exploratory workserves as a gateway to understanding student practices and perceptions while using aneducational technology tool and begins to answer the call to improve quantitative analyses ofEdTech tools in the classroom. Further studies can be done to validate and expand upon theseconceptualizations.AcknowledgmentsWe acknowledge support from the National Science Foundation (NSF) through grant DUE2135190. Any opinions, findings, conclusions, or recommendations expressed in this material arethose of the authors and do not necessarily reflect the views of the NSF. We also want to thankall the instructors and students who participated in the study. Finally, we thank our

Conference Session

Computers in Education Division (COED) Track 2.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Griffin Pitts, University of Florida; Viktoria Medvedeva Marcus, University of Florida; Sanaz Motamedi, University of Florida

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

misinformation, hallu-cinated data, and the absence of source citations in AI responses. One respondent stated that theirmain concern was “the chatbot giving incorrect and fabricated information. If a student were touse one, and were given false information, they would not know it was false unless they put inthe effort to cross reference it.” This reflects anxiety not only about AI-generated inaccuracies butalso about students’ potential failure to verify such information, even if they are aware of the sys-tems not being fully reliable. One respondent noted that AI chatbots “do not always give accurateinformation as they are not ”aware” of what they are discussing. They are simply giving the bestresponse to a series of words.” Despite being aware of

Conference Session

Software Engineering Division (SWED) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kevin A Gary, Arizona State University; Cecilia La Place, Arizona State University, Polytechnic Campus; Vidya Rupak; Rakshilkumar Modi; Karthik Vaida

Tagged Divisions

Software Engineering Division (SWED)

camp followed roughly the same schedule, with a half-day module dedicated fora particular computing topic. Seven modules were delivered during the technical sessions asdescribed in the next section, with the final afternoon of the last day reserved for a showcasewhere participants could demonstrate their favorite projects to family and friends. Each daystarted with a setup/warm-up period and ended with a teardown/reflection, usually done with aKahoot (www.kahoot.com) as these online quiz games were familiar to the participants. Eachmodule was broken into 2 sessions divided by a break, with the first session usually involving“follow-me” style instruction, and the second on independent work.The university classroom used for the camp has

Conference Session

First-Year Programs Division (FPD) Technical Session 5: Supporting Student Transition

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kathryn Hasz; Jessica Lavorata, Carthage College

Tagged Divisions

First-Year Programs Division (FPD)

rise in responses for all EOP frameworkcategories, shown in Figure 2c. The increase in both the raw number of itemized factorsgenerated by the students and the increase in number of categories mentioned is significantbecause it suggests that students developed a broader understanding of the EOP framework overthe course of the class. The increase in the number of identified categories per student indicates adeeper engagement with the framework's concepts, reflecting growth in their ability to recognizeand apply ethical, operational, and professional considerations in engineering practice. Thedecline in responses related to Social Responsibility may highlight an area for further curriculumenhancement to ensure a more balanced development across

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

other observations are black and their numbers are omittedfor clarity.Qualitative Survey ResultsAfter analyzing the artifacts created during the activities, we identified six main themes.1. Prompt development strategies and reflection - Overall, participants recognized theimportance of good prompting; one student participant noted that “having bad or vague inputs orquestions may cause it to respond with bad answers since it just responds with the statisticallymost likely thing,” and an industry participant noted that “ChatGPT is sensitive to how you inputthe question and needed data.” However, ability varied among participants to develop promptsthat meaningfully evaluated the given task.2. Response evaluation strategies - Participants also