Conference Session

Mechanical Engineering Division (MECH) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sandra Anstaett Metzler, The Ohio State University; Annie Abell, The Ohio State University; Russell K. Marzette Jr., The Ohio State University

Tagged Divisions

Mechanical Engineering Division (MECH)

curriculum committee developed anddocumented the program goals, student learning objectives, and student proficiencies (seeAppendix A). These have been mapped to the ABET required student learning outcomes (seeAppendix B).The set of drafted program goals, student learning objectives, and corresponding studentproficiencies were shared with the larger faculty body in the department in November 2023. Thecommittee facilitated discussion with the faculty members and encouraged them to leavefeedback in the form of specific comments tied to one of the program goals, student learningobjectives, or student proficiencies.This information was shared with the larger faculty of the department in November 2023, andtheir feedback was collected. The faculty members

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

Biomedical Engineering Division (BED) Postcard Session (Best of WIPs)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Stephanie Fuchs, Cornell University; Jonathan T. Butcher, Cornell University

Tagged Divisions

Biomedical Engineering Division (BED)

that required us to think like Engineers. Therefore, I found these A exercises particularly helpful for practicing thinking like an Engineer and considering the limitations and constraints when designing and coming up with solutions for a particular ENGINEER 7 problem under specific conditions. B Overall, this studio was very beneficial to my learning and growth as a biomedical engineer. As an engineer, I must be able to communicate my findings to people with varying scientific C backgrounds. As someone who is interested in

Conference Session

First-Year Programs Division (FPD) Work-in-Progress 1: Curriculum Design and Innovative Pedagogy

Collection

2025 ASEE Annual Conference & Exposition

Authors

Olivia Reynolds, Washington State University; Gary W. Offerdahl, Washington State University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FPD)

of the fall semester in 2023 and 2024 (Survey B). Responses from students notenrolled in the Introduction to Engineering course and non-first year students were excludedfrom analysis. To evaluate sense of belonging in the engineering college (VCEA), a five-item,five-point Likert scale adapted from a validated scale developed by Johnson [16] was used.Scores for the five items were averaged to evaluate students’ overall sense of belonging(Cronbach’s alpha = 0.897). Table 1 below summarizes the questions used for analysis. Table 1. List of Survey Questions Evaluated for Study Survey Question Text Question Format A I attended an engineering club

Conference Session

AI Integration in Engineering Economy Course

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hamed Samandari, University of Massachusetts Dartmouth

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy Division (EED)

. Understanding the Model: o Ask ChatGPT to explain the equation p=a−bD, where p is price, D is demand, a is the y-intercept, and b is the slope. o Use ChatGPT to derive an example of a price-demand equation for a product, substituting hypothetical values for a and b. o Plot the price-demand graph based on the example and explain the relationship between price and demand in your own words. 2. Calculating Total Revenue (TR): o Define total revenue (𝑇𝑅 = 𝑝 × 𝐷 ) with the help of ChatGPT. o Ask ChatGPT: "Can you calculate total revenue if the price-demand equation is 𝑝 = 100 − 2𝐷?" o Document the total revenue curve and explain the

Conference Session

Tech Session 6: Transformative Practices in Evolving Learning Environments

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ari Sherris, Texas A&M University-Kingsville; Hua Li, Texas A&M University - Kingsville; Christine Reiser Robbins, Texas A&M University - Kingsville; Joel Reyes-Cabrera, Texas A&M University - Kingsville; jianhong Ren, Texas A&M University - Kingsville; David Ramirez, Texas A&M University; Kai Jin, Texas A&M University - Kingsville

Tagged Divisions

Environmental Engineering & Sustainability Division (ENVIRON)

, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References[1] https://www.epa.gov/circulareconomy/us-recycling-system, accessed on 12/15/2024.[2] Megan Kreiger, Anzalone, G.C., Mulder, M.L. Grover, A., & Pearce, J. M. (2013).Distributed recycling of post-consumer plastic waste in rural areas. MRS Online.https://digitalcommons.mtu.edu/materials_fp/51/[3] Sangaramoorthy, T., & Kroeger, K. A. (2020). Rapid ethnographic assessments: A practicalapproach and toolkit for collaborative community research. Routledge.[4] Costa, A. L., & Kallick, B. (2008). Learning and leading with habits of mind: 16 essentialcharacteristics for success

Conference Session

Computers in Education Division (COED) Track 6.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Bahar Memarian, Arizona State University ; Shawn S. Jordan, Arizona State University

Tagged Divisions

Computers in Education Division (COED)

(b) of the reviewed articles. The word frequency analysis image in Figure4a shows a heavy focus on design, project-based learning, leadership, service learning, andmathematics. The abstract image in Figure 4b frequently mentions students, universities, papers,projects, and curricula, suggesting the concentration of Integrated Engineering studies. Bothimages concern concepts more representative of the complexities of engineering work in the realworld (e.g., multidisciplinary, service-oriented, design-centered).Figure 4Word cloud summary of title (a) and abstract (b)a bFigure 5 shows a scatter line summary of publications per year (a), a column bar summary of thenumber of authors (b), a column bar

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Mechanical Engineering Division (MECH)

authors of theinventories to obtain access to them.3.2 Data Collection ChatGPT-4o’s responses were given in response to the AI’s image processing andinterpretation of mechanical engineering conceptual diagrams. For each concept inventory andthe mechanical engineering classroom assessment, we gave each question to ChatGPT, alongwith screenshots of images, and asked it to provide the correct answer along with an explanationof why it was correct. Two professors, Dr. A (Prof. Arun Srinivasa) and Dr. B (Prof. KristiShryock), independently graded the AI for correctness and for the quality of its responses. Thesegrades produced four types of scores: Correct Answer with Correct Reasoning; Correct Answerwith Incorrect Reasoning; Incorrect Answer

Conference Session

First-Year Programs Division (FPD) Technical Session 2: Designing Creativity - Innovation Through First-Year Maker Projects

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rui Li, New York University

Tagged Divisions

First-Year Programs Division (FPD)

an enhancement to an existing one. Each project willreceive a $100.00 purchasing allowance for prototype components. A TA mentor will beappointed to help establish the project's scope, allocate duties, and manage purchasing requests.Each project must complete two benchmark assessments: A and B. Three milestonepresentations will be delivered throughout the semester. They should demonstrate steadyprogress throughout the duration of the 10-week project, including component and laterprototype testing. The project will be completed with a final submission and presentation. Theprototype must finish commissioning. The project will culminate with a final submission andpresentation. Professors will judge prototypes at the conclusion of the semester

Conference Session

Aerospace Division (AERO) Technical Session 2 - Student Papers 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mollie Johnson, Massachusetts Institute of Technology; Rea Lavi, Massachusetts Institute of Technology; Olivier Ladislas de Weck, Massachusetts Institute of Technology; Luca Carlone, Massachusetts Institute of Technology; Yun Chang, Massachusetts Institute of Technology; Prabhat Hajela, Rensselaer Polytechnic Institute

Tagged Divisions

Aerospace Division (AERO)

B: Fly a Jet Microsoft Flight Complete two sample flights: Plane Simulator, VR version a landing of a Cessna 172, and a flight in adverse weather using a Cessna Citation CJ4Mars Module C: Explore Mars Custom module Learn about the subsystemsWeek with a of the Curiosity rover, drive it Remote-Controlled around Mars, and control its Vehicle arm

Conference Session

NSF Grantees Poster Session I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hengtao Tang, University of South Carolina; Ramy Harik, Clemson University

Tagged Topics

NSF Grantees Poster Session

prioritize user needs and societal impact.AcknowledgementThis material is based upon work supported by the National Science Foundation under Award No.#2315662. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National Science Foundation.ReferencesBureau of Labor Statistics. (2021). Employment in STEM occupations: U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/tables/stem-employment.htmCasale, C., Thomas, C. A., & Simmons, T. M. (2018). Developing empathetic learners. Journal of Thought, 52(3–4), 3–18.Cook, K. L., & Bush, S. B. (2018). Design thinking in integrated STEAM learning: Surveying the landscape

Conference Session

Mechanics Division (MECHS) Technical Session 1B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Eleazar Marquez, The University of Texas Rio Grande Valley; Samuel Garcia Jr., NASA EPDC

Tagged Divisions

Mechanics Division (MECHS)

, Exam 2, Exam 3, and Final Exam.However, the outcome was unexpected. The exam averages during the Spring 2023 semester,when solutions were provided, were significantly lower compared to previous semesters whensolutions were not shared ahead of time. There was a 79% and 76.3% passing rate for the Spring2022 and for the Fall 2022 semesters, respectively, while the data suggests a decline in passingrates of 58.3% in the Spring 2023 semester. These findings challenge the assumption thatproviding solutions would lead to improved learning outcomes and highlight the need for furtherinvestigation into the pedagogical practices that best support student success in engineeringeducation.REFERENCES[1] Brimer, A., Madaus, F. G., Chapman, B., Kellaghan, T

Conference Session

Construction Engineering Division: Best of Construction

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tejal Mulay, Florida A&M University - Florida State University; Doreen Kobelo Regalado, Florida A&M University - Florida State University; Mohamed Khalafalla, Florida A&M University - Florida State University

Tagged Topics

Diversity

Tagged Divisions

Construction Engineering Division (CONST)

students gainedor lost confidence in transportation-related topics.AcknowledgementsThe authors would like to express their sincere gratitude to the Federal Highway Administration’sNational Summer Transportation Institute’s award. This funding was instrumental in providing theresources necessary to develop and implement the program, fostering education and interest intransportation, construction and STEM among underrepresented students.References[1] Sáinz M, Fàbregues S, Romano MJ, López BS. Interventions to increase young people's interestin STEM. A scoping review.[2] M. Khalafalla, T. U. Mulay, D. Kobelo, B. Shadravan, and D. Akinsanya, "The Role of Hands-On Engineering Technology Summer Camps in Attracting Underrepresented High SchoolStudents to

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Carrie Grace Aponte, Kansas State University; Safia Malallah, Kansas State University; Lior Shamir, Kansas State University

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

] C. Matuk, A. Amato, I. Davidesco, L. Rubel, A. Stornaiuolo, E. Bumbacher, B. Chance, K. DesPortes, A. Eloy, E. Fagan, T. Fuhrmann, E. Gebre, B. Herbel-Eisenmann, S. Jiang, J. Kahn, V. Lim, J. Louie, L. M. Peralta, S. Roy, M. Silander, N. St. Clair, L. Stephens, J. Stiles, N. Glaser, J. Naipaul, M. Tes, R. Vacca, A. Wagh, X. Wei, C. McBride, M. Wilkerson, J. Wolf, and P. J. Woods, “Data Storytelling in the Classroom,” International Society of the Learning Sciences, 2022. Publisher: International Society of the Learning Sciences.[12] M. Jiang and K. A. Searle, “Scaffolding Middle School Students’ Engagements with Historical Data Visualizations,” in ICLS 2024 Proceedings, pp. 498–505, June 2024.[13] R. Israel-Fishelson

Conference Session

First-Year Programs Division (FPD) Technical Session 12: Bridging the Gap - Strategies to Support Diverse Learners in Early Engineering Courses

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hermine Vedogbeton, Holy Cross

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FPD)

, confirming previous findings that indicate females spend less time studying. Thesedifferences highlight the diverse ways in which students balance their academic and non-academic responsibilities. (See Panel A of Appendix 3)Racial differences are presented in Panel B and indicate that Minority students spend more timestudying, averaging 16-20 hours or more per week, compared to their White peers who average11-15 hours. Minority students also spend more hours in co-curriculum activities and paid work.Conversely, they spend fewer hours in leisure time.Finally, a comparison between CS and non-CS majors are presented in Panel C of the same tableand shows a slight difference in study time, with CS students averaging 11-15 hours per week,slightly less

Conference Session

ERM Technical Session: Methods in Graduate Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Erin Johnson, Pennsylvania State University; Jiuqing Yu, Pennsylvania State University; Nosakhare Iyobosa Idiaghe, University of Nebraska - Lincoln; Jessica Deters, University of Nebraska - Lincoln; Catherine G. P. Berdanier, The Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] “THE 17 GOALS | Sustainable Development.” Accessed: Dec. 09, 2024. [Online]. Available: https://sdgs.un.org/goals[2] “Global Grand Challenges.” Accessed: Dec. 13, 2024. [Online]. Available: https://gcgh.grandchallenges.org/[3] J. B. Main and Y. Wang, “Intercultural competency among engineering doctoral students,” Studies in Graduate and Postdoctoral Education, vol. 11, no. 2, pp. 181–196, Jul. 2020, doi: 10.1108/SGPE-06-2019-0058/FULL/XML.[4] M. E. Verbyla, V. Vernaza-Hernandez, and A. Feldman, “International Research Experiences and Global Competency Development for

Conference Session

First-Year Programs Division (FPD) Work-in-Progress 4: Pathways, Belonging, and Early Experiences

Collection

2025 ASEE Annual Conference & Exposition

Authors

Curtis R. Taylor, University of Florida; Darryl Bryant McCune II, University of Florida

Tagged Divisions

First-Year Programs Division (FPD)

Paper ID #47879WIP: Empowering Future Engineers: The Impact of a Summer Bridge Programon Student Self-EfficacyDr. Curtis R. Taylor, University of Florida Dr. Curtis Taylor, Ph.D. is an Associate Professor in the Departments of Engineering Education and Mechanical and Aerospace Engineering at the University of Florida.Mr. Darryl Bryant McCune II, University of Florida Mr. Darryl B. McCune II is the Program Coordinator of the Office of Student Transition and Retention (STAR) of the Herbert Wertheim College of Engineering at the University of Florida. The STAR Office endeavors to sponsor a rich tapestry of programs and services

Conference Session

ECE-Instructional Tools and Online Resources

Collection

2025 ASEE Annual Conference & Exposition

Authors

Todd Freeborn, The University of Alabama

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

groups for A (90% to 100%), B (80% to 89.9%) , C (70% to 79.9%), D (60% to 69.9%), and F (<60%) final grades in the course. Analysis Overall, 167 of 369 students (42%) of students had median watch metrics greater than 24 hours, answering the first research question that motivated this study (RQ1: What proportion of students watch assigned lectures more than 24 hours before their assigned deadline?). To answer the second research question (RQ2: Do students who watch assigned lectures more than 24 hours before deadlines demonstrate greater mastery of course material than their peers who do not?) the median final grades for both groups were generated. The median final course grade for students who finished the course videos >

Conference Session

Design in Engineering Education Division (DEED) - Best in DEED

Collection

2025 ASEE Annual Conference & Exposition

Authors

Grace Burleson, University of Colorado Boulder; James Harper PhD, PE, University of Colorado Boulder

Tagged Divisions

Design in Engineering Education Division (DEED)

were all alumni of our university withbachelor’s in mechanical engineering, specifically. Three individuals were later career (30+years since B.S. graduation) and one was a recent graduate (two years since B.S. graduation). Allindividuals were male.Table 1: Summary of participating Industry Mentors. Class A Class B IM 1 IM 2 IM 3 IM 4 Current President/CEO Mechanical Senior Engineering Senior Project role Engineer Consultant Engineer Career Later-career Early-career Later-career Later-career stage Sector Thermal

Conference Session

Materials Division (MATS) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Joel L Galos, California Polytechnic State University, San Luis Obispo; Mohsen Beyramali Kivy, California Polytechnic State University, San Luis Obispo; Lessa Grunenfelder, University of Southern California; Ken-ichi Nomura, University of Southern California; James E. Saal, Citrine Informatics, Inc.

Tagged Divisions

Materials Division (MATS)

toencounter these tools in their careers [7]. Figure 1: ML models help to predict properties, correlate properties and optimize properties in the materials design. (a) (b) Figure 2: (a) Overview of sequential learning in materials design, and (b) AI-guided materials discovery saving time compared with the traditional design of experiment approach.A wide range of MS&E and related industries are now applying AI and ML tools in thedesign and discovery of new materials and chemicals. For example, AI and ML tools havebeen used in materials development in applications such as batteries [8], ceramics [9], metalalloys [10-12], packaging [13], consumer electronics [14], adhesives [15

Conference Session

Materials Division (MATS) Technical Session 5

Collection

2025 ASEE Annual Conference & Exposition

Authors

Lekshmi Sasidharan, University of Arkansas; Abigail Elizabeth Mayhan, University of Arkansas

Tagged Divisions

Materials Division (MATS)

ratios (w/c). As outlined in Table 2, three different w/c were selected for the project.Table 2. Different categories of w/c and pozzolans selected for the project Material Test Categories Test A Test B Test C Water-cement ratios (w/c) 0.45 0.50 0.55 Pozzolans Add 33% fly ash Replace 33% cement Control by weight of with fly ash by cement weight of cementIn addition, Table 2 also shows three different categories (Tests A, B and C) identified for testingthe effect of pozzolans. Eight student groups were

Conference Session

ME Division 7: Making it Matter: Projects and Communication

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sudeshna Pal, University of Central Florida; Sierra Outerbridge, University of Central Florida; Mohammadreza Chimehrad, University of Central Florida; Michelle Taub, University of Central Florida; Hyoung Jin Cho, University of Central Florida

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering Division (MECH)

the experimental design and analysis of the MP activities as adapted fromFord and coworkers were also added to the exit survey. [16] A 5-point Likert scale, withresponses ranging from “Strongly Agree” (5) to “Strongly Disagree (1) was used for rating thesurvey questions. The entry and exit surveys were administered in the first and last weeks ofclasses.Results and DiscussionFigures 5 (A) and (B) show the comparative cumulative grade distribution data for the MPsection and the baseline section for “All” students and “Hispanic Transfer” students. The MP andthe baseline sections had a total enrollment of 259 and 236, respectively. Data from the entirestudent population was used to report for “All” students. The Hispanic Transfer

Conference Session

Assessments, Feedback, & Grading

Collection

2025 ASEE Annual Conference & Exposition

Authors

Elizabeth G. Jones, University of Nebraska - Lincoln

Tagged Divisions

Civil Engineering Division (CIVIL)

sets standards that students need tomeet for each assessment. Grades are assigned on whether students have met specific criteria foreach assignment, regardless of how well other students perform. Sometimes SBG is referred toas specifications-based grading. Clark and Talbert [3] define four key principles of SBG: 1. All individual work is graded on a “meets expectations” or “needs revision” basis. The bar for meeting expectations is generally set at about the level of B work and the expectations are set using a grading rubric that is shared with students prior to them attempting the work. 2. All work not meeting expectations can be revised and resubmitted for re-evaluation at least once. 3. Assignments and assessments

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Audrey Boklage, University of Texas at Austin

Tagged Topics

Diversity, NSF Grantees Poster Session

higher education, understandingtheir role in shaping diverse pathways into engineering is critical for building a more inclusiveand innovative future workforce.Acknowledgments This material is based upon work supported by the National Science Foundation underGrant No. 2044258. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author and do not necessarily reflect the views of the NationalScience Foundation.ReferencesAndrews, J., Clark, J., Thomas, M., & Wang, J. (2021). The impact of university makerspaces on students' self-efficacy and belonging in engineering. International Journal of STEM Education, 8(1), 1–13.Carlone, H. B., & Johnson, A. (2007). Understanding

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)

implement in their courses.The rest of the paper is organized as follows. Section II describes the related literature. SectionIII details the implementation of the workshop. Section IV presents the results of the surveysconducted in the workshop, as well as an analysis of our findings. Section V presents possiblethreats to the validity of our study. Section VI delineates possible future work and Section VIIconcludes this paper. Appendix A provides the complete session details and agenda of theworkshop, Appendix B delineates a sample handout for Day 1 of the workshop, and Appendix Ccontains the pre- and post- workshop survey questions administered to the participants of theworkshop.Related LiteratureThis experience report focuses on three distinct

Conference Session

Computing and Information Technology Division (CIT) Technical Session 6

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gabriel Eduardo Prieto, Florida International University; Neila Bennamane, Florida International University; Agoritsa Polyzou, Florida International University; Peter J Clarke, Florida International University

Tagged Divisions

Computing and Information Technology Division (CIT)

team member interacts, discusses, or poses questionsto other members, Assigned Tasks - the level of completion of the assigned tasks. Each criterion israted on a scale of 1 to 4.Data Preprocessing. The analysis utilizes a data subset that includes only students with both peerevaluation and final course grade data. We filter out any students with missing values, resulting in217 total students and 45 teams across all terms. Fig. 2 shows the distributions of students over thedifferent letter grades received (Fig. 2a) and over the semesters of the study (Fig. 2b). The majorityof students achieve high to medium grades (A to B-), suggesting a generally positive outcome forthe course. Course enrollment fluctuates through different terms, with peaks

Conference Session

ERM Technical Session: Examining Undergraduate Recruitment & Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

VINCENT OLUWASETO FAKIYESI, University of Georgia; ISAAC DAMILARE DUNMOYE, University of Georgia; VARUN KATHPALIA, University of Georgia; Deborah Moyaki, University of Georgia; Animesh Paul, University of Georgia; Nathaniel Hunsu, University of Georgia

Tagged Divisions

Educational Research and Methods Division (ERM)

motivational orientations and SLP collectively influence resilience outcomes. Becauseresilience was conceptualized as an outcome variable rather than a clustering feature; logisticregression was used to assess the predictive role of motivational profiles and self-efficacy onresilience.Table 3. Model Fit and Classification AccuracyLogistic Regression Measure Value Chi-square (χ2) 32.696 Degrees of Freedom (df) 4 p-value 0.05). However, the Mastery-Oriented Improvers cluster(B=1.036, Exp(B)=2.806, P=0.103) showed a trend toward higher resilience, though notstatistically significant. These findings highlight the critical role of self-efficacy in

Conference Session

Mechanics Division (MECHS) Technical Session 1A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ryan Carr, U.S. Air Force Academy; Phillip Cornwell, U.S. Air Force Academy

Tagged Divisions

Mechanics Division (MECHS)

centripetal acceleration. Each correctly identified the equation for centripetalacceleration as 𝑎𝑎𝑛𝑛 = 𝑣𝑣 2 ⁄𝑟𝑟, and indicated that the largest acceleration would be the point withthe smallest radius of curvature. Gemini produced the correct result, recognizing that point A hasthe smallest radius of curvature and thus the highest acceleration.ChatGPT indicated that point B was the correct answer, with the following explanation: “Atpoint B, the track appears to have the smallest radius of curvature, as it is located at a sharp curvecompared to points A, C, and D.” This was an interesting answer, so the authors decided toprompt further to assess ChatGPT’s understanding of the geometry of the problem.ChatGPT was then re-prompted by asking if the

Conference Session

ME Division 11: Beyond the Build: Communication, Collaboration, and Reflection

Collection

2025 ASEE Annual Conference & Exposition

Authors

Frederick Rowell, Clemson University; Douglas Byrd, Clemson University; Todd Schweisinger P.E., Clemson University; John R. Wagner P.E., Clemson University

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering Division (MECH)

students. For this case study on the design of wind tunnelequipment, the client was a faculty member in mechanical engineering, and the students were co-advised by the lab coordinator and graduate student. The project required the students to design,fabricate, and validate a wind tunnel sting balance to measure the aerodynamic drag of differentgeometric bodies in the Mechanical Engineering Undergraduate Lab low-speed wind tunnel. Thelow-speed wind tunnel test area and the existing non-functional sting balance with the aerosphere are shown in Figure 3. Figure 3. (a) BSME Learning Laboratory Low-Speed Wind Tunnel Test Area and (b) Existing Sting Balance.The student teams were required to submit and present

Conference Session

Design in Engineering Education Division (DEED) - Emerging and Sustainable Design Practices

Collection

2025 ASEE Annual Conference & Exposition

Authors

Trevion S Henderson, Tufts University; Greses Perez P.E., Tufts University

Tagged Divisions

Design in Engineering Education Division (DEED)

, limited knowledge of the matter.On the other hand, disinformation is information offered by those who are aware of itsinaccuracies or flaws [3]. Disinformation might be intentionally manipulated, as in the creationof deep-fake images and videos that mislead viewers [6]. Disinformation might also entail (a)manipulating data on which important decisions are made or (b) sharing ostensibly trueinformation at strategically nefarious times to manipulate individual or collective decisionmaking. Taken together, the distinction between misinformation and disinformation lies in themotives, intentions, and degree of manipulation of the information itself [2]. Whereasmisinformation entails good-faith efforts to inform, disinformation entails intentional