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Displaying results 511 - 540 of 2556 in total
Conference Session
DSAI Technical Session 5: Educational Technology and Innovative Tools
Collection
2025 ASEE Annual Conference & Exposition
Authors
Brainerd Prince, Plaksha University; Siddharth Siddharth, Plaksha University; Subham Jalan; Hibah Ihsan Muhammad, Plaksha University, Punjab; Chaitanya Modi
Tagged Divisions
Data Science and Artificial Intelligence (DSAI) Constituent Committee
focuson training a unified model to combine head pose, emotion, and transcript data for feedback,enhancing the system’s generalization and impact. Additionally, more modalities such as voicemodulation and tone will be incorporated.References[1] S. Schneider, F. Krieglstein, M. Beege and G. D. Rey, "The impact of video lecturers’ nonverbal communication on learning – An experiment on gestures and facial expressions of pedagogical agents," vol. 176, p. 104350, 1 January 2022.[2] N. Aburumman, M. Gillies, J. A. Ward and A. F. d. C. Hamilton, "Nonverbal communication in virtual reality: Nodding as a social signal in virtual interactions," vol. 164, p. 102819, 2022.[3] R. Buck and C. A. VanLear, "Verbal and Nonverbal Communication
Conference Session
Faculty Development Works in Progress Session 2
Collection
2025 ASEE Annual Conference & Exposition
Authors
Shaylin N Williams, University of Virginia
Tagged Divisions
Faculty Development Division (FDD)
from the engineering educators’ surveys,quantitative methods. 1. Next, students’ survey responses will be linked and compared to the responses of the educators whose summer engineering course(s) they took. 2. Descriptive statistics and qualitative findings will be aggregated to determine if trends and/or correlations are present between educators’ self-determination in the context of teaching and their work environments and students’ performance and learning experiences within the educator’s class. 3. The data analyses will be followed by a deeper dive toward interpreting and discussing how the results, along with the guiding framework, may serve as a foundation for creating intentional strategies and
Conference Session
Minorities in Engineering Division(MIND) Technical Session 15
Collection
2025 ASEE Annual Conference & Exposition
Authors
Azadeh Bolhari, University of Colorado Boulder; Angela R Bielefeldt, University of Colorado Boulder; Caroline Steely, University of Colorado Boulder
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering Division(MIND)
Engineering. At the beginning and endof the semester, students were invited to participate in the research study and given surveyswhere they identified their gender identity, race, and whether or not they identified asneurodivergent (ND). If the students answered either Yes or Maybe ND, they were given theoption to list which type(s) of ND they identified with. Within the course, 41 studentsparticipated in the pre and/or post-survey (91% responded; only 35 completed both surveys).Only the 7 teams where every participant consented to participate were examined in the research(out of a total of 11 teams).A key activity in the course designed to foster innovation skills was a 10-week long open-ended,team-based project to design an activity for K-12
Conference Session
WiP: Student Identity, Support, and Success
Collection
2025 ASEE Annual Conference & Exposition
Authors
May Lim, The University of New South Wales; Sumiko Iida, UNSW Sydney; Ghislain Bournival
Tagged Divisions
Chemical Engineering Division (ChED)
feasible and scalable. She achieves this by providing educators with essential opportunities for professional development, notably through the organization of conferences and symposia. Additionally, Dr. Lim is an active member of various working and advisory groups, where she contributes her expertise to areas such as innovation, e-Portfolio, artificial intelligence, and SCI-ENG first year students experience.Sumiko Iida, UNSW Sydney Sumiko Iida is a Senior Lecturer at UNSW Sydney, Australia. She teaches general Japanese language courses, Japanese Popular Culture (in English), and an advanced Japanese language course using manga and anime (in Japanese). Her research with William S. Armour focuses on the impact of
Conference Session
International Division (INTL): Inclusive Global Engagement
Collection
2025 ASEE Annual Conference & Exposition
Authors
Jemal Bedane Halkiyo, Arizona State University; Sultan Bedane Halkiyu
Tagged Topics
Diversity
Tagged Divisions
International Division (INTL)
; Sassi, K. (2019) justice: Creating culturally relevant, collective, Narrative Against intergenerational, co-created spaces Deficit PerspectivesOnwuachi-Robinson, S. (2023) Exploring the Implementation of Culturally Relevant Pedagogy to Support Black Male Middle School Students’ Success in MathWu, Y. L. (2016) Applying Culturally Responsive Pedagogy to the Vocational Training of Immigrants.Kim, H. J. (2024
Conference Session
Liberal Education/Engineering & Society Division (LEES) Technical Session 7: Interdisciplinarity
Collection
2025 ASEE Annual Conference & Exposition
Authors
Vanessa Tran, Utah State University; Cassandra J McCall, Utah State University; Maimuna Begum Kali, Florida International University
Tagged Topics
Diversity
Tagged Divisions
Liberal Education/Engineering & Society Division (LEES)
catastrophe living: Using the wisdom of your body and mind to face stress, pain, and illness, 15th anniversary ed. in Full catastrophe living: Using the wisdom of your body and mind to face stress, pain, and illness, 15th anniversary ed. New York, NY, US: Delta Trade Paperback/Bantam Dell, 2005, pp. xxxiii, 471.[10] A. Martin-Erro, M. Dominguez Somonte, and M. D. M. Espinosa Escudero, “The Role of Sketching in Engineering Design and its Presence on Engineering Education,” presented at the International Technology, Education and Development Conference, Valencia, Spain, Mar. 2016, pp. 3465–3471. doi: 10.21125/inted.2016.1822.[11] C. Xuemei, N. Binti Hashim, and S. Binti Kamarudin, “Situational Theory of Problem Solving (STOPS): A
Conference Session
ERM Technical Session: Equity & Accessibility in Engineering Education
Collection
2025 ASEE Annual Conference & Exposition
Authors
Oluwafemi Johnson Sunday, Washington State University; Oluwafemi Johnson Ajeigbe, Texas A&M University; Olusola Adesope, Washington State University; Bernard J. Van Wie, Washington State University; Prashanta Dutta, Washington State University
Tagged Divisions
Educational Research and Methods Division (ERM)
. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational psychologist, 49(4), 219-243. https://doi.org/10.1080/00461520.2014.965823[3] Crawley, E., Malmqvist, J., Ostlund, S., Brodeur, D., & Edstrom, K. (2007). Rethinking engineering education. The CDIO approach, 302(2), 60-62.[4] Curtis, H., Gartner, J., Dutta, P., Adesope, O., Van Wie, B., & Watson, C. (2022, August). Teacher Impact on Student Learning Using LC-DLM Implementations in the Classroom. In 2022 ASEE Annual Conference & Exposition[5] Durak, Z. E., Thiessen, D. B., Ajeigbe, O. J., Adesope, O. O., & Van Wie, B. J. (2025). Hands-on fluidized bed classroom implementation and assessment
Conference Session
ME Division 6: Innovative Simulation and Extended Reality Techniques
Collection
2025 ASEE Annual Conference & Exposition
Authors
Armin Eilaghi, Northern Arizona University
Tagged Divisions
Mechanical Engineering Division (MECH)
’ opinions were collected using a survey approved by theuniversity ethics review board. 47 out of 72 students participated voluntarily in the study, whichwas completely blind to the instructor. Three example projects are explained, and outcomes arepresented.XR educational content development: Documents, videos, and training sessions were prepared toteach students how to translate their final designs from SolidWorks to other platforms that can beused for virtual reality (VR), augmented reality (AR), and mixed reality (MR). XRdemonstration and rubric: The XR demonstration was designed as a team assignment in whichstudents were required to demonstrate the function(s) of their final design concept using an XR-developed prototype/environment.An extended
Conference Session
Emerging Technologies and AI Integration in ECE Education
Collection
2025 ASEE Annual Conference & Exposition
Authors
Ismail Uysal, University of South Florida; Rifatul Islam, University of South Florida; Paul E Spector, University of South Florida
Tagged Divisions
Electrical and Computer Engineering Division (ECE)
continue to collect survey data from electrical engineering students(sophomore to senior) and study how the feature rankings change after students go through in-class or Canvas interventions with mini-courses on acquiring better study habits founded uponthe theory of action-state orientation. Our next hypothesis will focus on whether low GPAstudents’ survey responses become more robust predictors of their academic success (asindicated by SHAP summary plots) as they go through such trainings.References Bakoban, R., & Aljarallah, S. (2015). Extracurricular Activities and Their Effect on the Student's Grade Point Average: Statistical Study. Educational Research and Reviews, 10(20), 2737-2744. Borup, D., Christensen, B. J., Mühlbach
Conference Session
WIP Poster Session: Emerging Research and Practices in Pre-College Engineering Education
Collection
2025 ASEE Annual Conference & Exposition
Authors
Wesley Lawson, University of Maryland, College Park; Hamza Shaikh, University of Maryland College Park; Jennifer Kouo, The Johns Hopkins University
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education Division (PCEE)
List[1] T. Swartz, A. Palermo, S. Masur, J. Aberg, “The Science and Value of Diversity: Closing the Gaps in Our Understanding of Inclusion and Diversity,” The Journal of Infectious Diseases, vol. 220, Issue Supplement_2, pp. S33–S41, Sep 2019. https://doi.org/10.1093/infdis/jiz174[2] M. Haddad, T. Jenkins, B. Solivan, A. Williams, “Enhancing Diversity in STEMM,” in Frontiers in Education, Lincoln, Nebraska, vol. 6, 2021. https://www.frontiersin.org/articles/10.3389/feduc.2021.755758 DOI=10.3389/feduc.2021.755758.[3] Whitehouse, “Best Practices for Diversity and Inclusion in STEM Education and Research: A Guide by and for Federal Agencies,” Biden White House Archives. Accessed: Mar. 22
Conference Session
Biomedical Engineering Division (BED) Poster Session
Collection
2025 ASEE Annual Conference & Exposition
Authors
AraOluwa Adaramola, Cornell University; Alexandra Werth, Cornell University; Campbell James McColley, Cornell University
Tagged Divisions
Biomedical Engineering Division (BED)
. 3REFERENCESBailey, S. F., Jenkins, J. S., & Barber, L. K. (2016). Students’ Reactions to Course Policy Decisions. Teaching of Psychology, 43(1), 22–31. https://doi.org/10.1177/0098628315620065Credé, M., Roch, S. G., & Kieszczynka, U. M. (2010). Class Attendance in College: A Meta- Analytic Review of the Relationship of Class Attendance With Grades and Student Characteristics. Review of Educational Research, 80(2), 272–295. https://doi.org/10.3102/0034654310362998Creswell, J. W., & Poth, C. N. (2023). Qualitative Inquiry and Research Design: Choosing Among Five Approaches (5th ed.). SAGE Publication,Inc.Kipp, A. L., & Clark, J. S. (2022). Student absenteeism and
Conference Session
WIP Poster Session: Emerging Research and Practices in Pre-College Engineering Education
Collection
2025 ASEE Annual Conference & Exposition
Authors
Luis E Montero-Moguel, The University of Texas at San Antonio; Guadalupe Carmona, The University of Texas at San Antonio
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education Division (PCEE)
Center for EducationResearch. Any opinions, findings, conclusions, or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of these institutions. References[1] T. J. Moore, A. C. Johnston, and A. W. Glancy, “STEM Integration,” in Handbook of Research on STEM Education, 1st ed., C. C. Johnson, M. J. Mohr-Schroeder, T. J. Moore, and L. D. English, Eds., New York: Routledge, 2020, pp. 3–16. doi: 10.4324/9780429021381-2.[2] K. E. Dugan, E. A. Mosyjowski, S. R. Daly, and L. R. Lattuca, “Systems thinking assessments in engineering: A systematic literature review,” Syst Res Behav Sci, vol. 39, no. 4, pp. 840–866, Jul. 2022, doi: 10.1002/sres
Collection
2025 Rocky Mountain Section Conference
Authors
Rachel Cloud; Spencer MacLaughlin; Adam Lynch; Ridge Towner
̅ = 𝑆 ̅ −1𝑆̅ is the transformed compliance matrix relative to the x-y axis, A the transformation matrix, R isReuter’s matrix, and S is the compliance matrix of the material. For partial differential calculations there are different equations for different things.There is the equation for Linear Elasticity (a), Plane Stress (b), convection-diffusion (c), and thechain rule equations (d) [14]: 𝑎) ∫ 𝛿𝑢 ∗ 𝐹𝑣 𝑑𝑉 + ∫ 𝑓 ∗ 𝛿𝑢𝑑𝑆 , 𝑏) 𝑝 (𝑛𝑥𝛿𝑢 + 𝑛𝑦 𝛿𝑣 + 𝑛𝑧 𝛿𝑤), Ω S 𝑐) 0 = ∫ (−∇𝑣 ∙ (𝑐∇𝑢) − 𝑣 𝛽 ∙ ∇𝑢)𝑑𝑉 + ∫ 𝑔𝑣𝑑𝑆 + ∫ 𝑓𝑣𝑑𝑉 , Ω S Ω
Conference Session
Computers in Education Division (COED) Track 6.C
Collection
2025 ASEE Annual Conference & Exposition
Authors
Jiaen Yu, University of California, San Diego; Anshul Shah, University of California, San Diego; John Driscoll, University of California, San Diego; Yandong Xiang; Xingyin Xu, New York University; Sophia Krause-Levy, University of San Diego; Soohyun Nam Liao, University of California, San Diego
Tagged Divisions
Computers in Education Division (COED)
prompt. They are noted as STQuiz vs. LTQuiz (30 vs. 60 users), STP lan vs.LTP lan (35 vs. 3 users), and STRef lect vs. LTRef lect (26 vs. 6 users). The user data regarding theevaluation prompt feature is dropped for the analysis due to its small sample size (see Section 5.2for details).LT s and ST s are compared with respect to four different measures: midterm 1 and 2 scores,first-try correctness, the number of unique quiz questions solved for each week, and reflectionrate. Midterm 1 and 2 scores are normalized in percentage (%) as each of their maximum possiblescores are different. A two-sample t-test was conducted as well to confirm the statisticaldifference in the midterm scores between STQuiz and LTQuiz , because their sample sizes werelarge
Conference Session
Computers in Education Division (COED) Track 2.B
Collection
2025 ASEE Annual Conference & Exposition
Authors
Venkata Alekhya Kusam, University of Michigan - Dearborn; Zheng Song, University of Michigan - Dearborn; Khalid Kattan, University of Michigan - Dearborn; Bruce R Maxim, University of Michigan - Dearborn
Tagged Divisions
Computers in Education Division (COED)
,” in ICERI2023 Proceedings, pp. 4658–4664, IATED, 2023. [2] K. E. Dunn and S. W. Mulvenon, “A critical review of research on formative assessments: The limited scientific evidence of the impact of formative assessments in education,” Practical assessment, research, and evaluation, vol. 14, no. 1, p. 7, 2019. [3] K. Martens, D. Niemann, and J. Teltemann, “Effects of international assessments in education–a multidisciplinary review,” European Educational Research Journal, vol. 15, no. 5, pp. 516–522, 2016. [4] D. P. Collins, D. Rasco, and V. A. Benassi, “Test-enhanced learning: Does deeper processing on quizzes benefit exam performance?,” Teaching of Psychology, vol. 45, no. 3, pp. 235–238, 2018. [5] B. W. Kennedy, “The value
Conference Session
Games & Competitions for Civil Engineering Education
Collection
2025 ASEE Annual Conference & Exposition
Authors
Benjamin Z. Dymond, Northern Arizona University; Matthew K Swenty P.E., Virginia Military Institute
Tagged Divisions
Civil Engineering Division (CIVIL)
Paper ID #45926One Path to Inspiration: Student Competitions in EngineeringDr. Benjamin Z. Dymond, Northern Arizona University Ben Dymond obtained his B.S. and M.S. degrees in Civil Engineering at Virginia Tech before obtaining his Ph.D. in Civil Engineering at the University of Minnesota Twin Cities. Ben is currently an associate professor of structural engineering at Northern Arizona University.Dr. Matthew K Swenty P.E., Virginia Military Institute Matthew (Matt) Swenty obtained his bachelor’s and master’s degrees in Civil Engineering from Missouri S&T and then worked as a bridge designer at the Missouri Department
Collection
2025 ASEE -GSW Annual Conference
Authors
Chinedu Okonkwo, The University of Texas at San Antonio; Roy Uzoma Lan; Ibukun Gabriel Awolusi, The University of Texas at San Antonio; Jiannan Cai
Tagged Topics
Diversity
The University of Texas at Arlington, Arlington, TX Copyright © 2025, American Society for Engineering Education 10 AcknowledgmentWe would like to acknowledge the Klesse College of Engineering and Integrated Design (KCEID)and the Office of Sustainability at The University of Texas at San Antonio (UTSA) for supportingthis project through the KCEID Incentive Opportunity Award. Any opinions, findings, conclusions,or recommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of UTSA. ReferencesAbioye, S. O., Oyedele, L
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)
not necessarily reflect the views of the Natural ScienceFoundation of China.REFERENCES[1] C. K. Y. Chan and K. K. W. Lee, “Constructive alignment between holistic competency developmentand assessment in Hong Kong engineering education,” Journal of Engineering Education, vol. 110, no. 2,pp.437-457, 2021.[2] N. D. Q. Nguyen, “The essential skills and attributes of an engineer: A comparative study ofacademics, industry personnel and engineering students,” Global J. of Engng. Educ, vol. 2, no. 1, pp.65-75, 1998.[3] E. Krylov and S. Devyaterikov, “Developing students’ cognitive skills in MMS classes,” STEMEducation, vol. 3, no. 1, pp. 28-42, 2023.[4] M. Pinho-Lopez, M. and J. Macedo, “ Project-based learning to promote higher order thinking
Conference Session
Computers in Education Division (COED) Track 6.A
Collection
2025 ASEE Annual Conference & Exposition
Authors
Abdulrahman AlRabah, University of Illinois at Urbana - Champaign; Zepei Li, University of Illinois at Urbana Champaign; Meredith Blumthal, University of Illinois at Urbana - Champaign; Sotiria Koloutsou-Vakakis, University of Illinois Urbana-Champaign; Volodymyr Kindratenko, University of Illinois Urbana-Champaign; Tomasz Kozlowski, University of Illinois Urbana-Champaign; Abdussalam Alawini, University of Illinois Urbana - Champaign
Tagged Divisions
Computers in Education Division (COED)
violations in real-timecould promote more ethical and effective use of the AI-bot.References [1] S. Feuerriegel, J. Hartmann, C. Janiesch, and P. Zschech, “Generative AI,” Business & Information Systems Engineering, vol. 66, no. 1, pp. 111–126, 2024. [2] A. Yusuf, N. Pervin, M. Rom´an-Gonz´alez, and N. M. Noor, “Generative AI in Education and Research: A Systematic Mapping Review,” Review of Education, vol. 12, no. 2, p. e3489, 2024. [3] U. Mittal, S. Sai, V. Chamola et al., “A Comprehensive Review on Generative AI for Education,” IEEE Access, 2024. [4] R. Liu, C. Zenke, C. Liu, A. Holmes, P. Thornton, and D. J. Malan, “Teaching CS50 with AI: Leveraging Generative Artificial Intelligence in Computer Science Education,” in
Conference Session
Design in Engineering Education Division (DEED) - AI and Digital Futures in Design Education
Collection
2025 ASEE Annual Conference & Exposition
Authors
Maulik C Kotecha, Pennsylvania State University; Tikyna M. Dandridge, The Pennsylvania State University; Tahira Reid Smith, Pennsylvania State University
Tagged Topics
Diversity
Tagged Divisions
Design in Engineering Education Division (DEED)
focus on evaluatingthe effectiveness of digital twins in improving learning outcomes and career readiness, as well asexploring ways to make technology more accessible to institutions of all sizes. As digital twin technologybecomes more prevalent in industry, its integration into engineering education will not only equipstudents with cutting-edge skills but also prepare them to drive innovation in the future of engineeringdesign and technology.References[1] M. Grieves and J. Vickers, “Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems,” in Transdisciplinary Perspectives on Complex Systems: New Findings and Approaches, F.-J. Kahlen, S. Flumerfelt, and A. Alves, Eds., Cham: Springer
Conference Session
Curriculum Development and Pedagogical Innovations
Collection
2025 ASEE Annual Conference & Exposition
Authors
Kate Manion, Northwestern University; Jordan Denzler, Northwestern University; Tyson Matthew Strong, Northwestern University; David P O'Neill, Northwestern University
Tagged Topics
Diversity
Tagged Divisions
Biomedical Engineering Division (BED)
categories: academic (blue), social/psychological (purple), and logistical(green). Legend identifies specific codes. Largest node represents 57 student responses; thickest connecting line represents 20student responses containing both connected codes.Coding scheme of Hsu et al.Results for applying the codes generated by Hsu et al. [4] to the pre-course survey data of thisstudy are presented in Tables 3a and 3b. Results are reported as percentages for ease of comparisonwith Hsu et al.’s data.Table 3a: Codebook developed by Hsu et al. [4] for motivation data. Percentages of responses reported by Hsu et al.and for the data from this study using this codebook. Code name (Hsu et al.) Percent of student Percent of responses
Conference Session
ERM Technical Session: Developing Engineering Competencies III
Collection
2025 ASEE Annual Conference & Exposition
Authors
Kelley E Dugan, Rose-Hulman Institute of Technology; Heather Chenette, Rose-Hulman Institute of Technology
Tagged Divisions
Educational Research and Methods Division (ERM)
selectingmaterial(s), students’ descriptions of their experience, and how the experience will shape futureaction simultaneously. For example, Kampe’s paper focused on describing a method forcalculating the environmental load of a specific material [20]. Ruzycki’s study explored howmuch students learned of various course topics and what key aspects of the course the studentswere still using in their current coursework a year later, based on a survey [22]. Findings weresummarized in bar chart and word cloud form, respectively. Surveyed and reported topicsincluded life cycle assessment, material selection, and material databases (e.g., CES EduPack).Ruzycki did share one student quote for the final survey question that focused on why studentsthink they should
Conference Session
Two-Year College Division (TYCD) Technical Session 4: Curriculum and Assessment
Collection
2025 ASEE Annual Conference & Exposition
Authors
Stephanie Laughton, The Citadel; Timothy Aaron Wood P.E., The Citadel
Tagged Topics
Diversity
Tagged Divisions
Two-Year College Division (TYCD)
scan(s) or photo(s) of your HW. do not take up all of the provided space in You should keep all of your original HW pages in order to your Pre-Read as you may want to add complete the HW Correction assignment at the end of the Unit. content to the space in class. Grading: • 1 point overall for quality organization and legibility of Deliverable: Upload a legible scan or photo your homework upload. This includes boxing your final of your notes page(s) for the lecture listed answers on the page and clearly numbering your problems. above. • Even Problems: 1 point for showing quality work Grading: Complete/Incomplete • Odd Problems: 1 point for showing quality work + 1
Conference Session
Student Success and Support Mechanisms in Engineering Education
Collection
2025 ASEE Annual Conference & Exposition
Authors
Max Wu-Blouin, McGill University; Kennedy Grace Olsen, McGill University; Manish Malik, Canterbury Christ Church University; Lawrence R Chen, McGill University
Tagged Divisions
Student Division (STDT)
criteria.Table 1. Boolean search clause terms categorized into PICO and SPIDER frameworks. P/S O/PI (Population/ Sample) (Outcome/ Phenomenon of Interest)Search engineering student* fail* AND perception* AND learn*Clause engineering undergraduate* perspective* engag*Terms engineering major* attitude* motivat* shame reaction* mindset* response* persistence
Conference Session
ERM Technical Session: Examining Identity
Collection
2025 ASEE Annual Conference & Exposition
Authors
Kelsey Scalaro, Cornell University ; Indira Chatterjee, University of Nevada, Reno; Ann-Marie Vollstedt, University of Nevada, Reno; Adam Kirn, University of Nevada, Reno
Tagged Divisions
Educational Research and Methods Division (ERM)
across their entire 8-semester undergraduate engineeringprogram to support a change and time-oriented understanding of the phenomenon. Data wasanalyzed using iterative rounds of content coding, open coding, and thematic analysis toward thedistillation into the essence of what the phenomenon looks and feels like [28], [30], [31]. Allauthors contributed to the running of the cohort program, with the first, second, and fourthauthors playing a significant role in this study’s data collection and analysis.3.1 Location and ParticipantsThis study was conducted at a large, western land-grant, R1 university and focused on the lived-experiences of 14 undergraduate engineering students participating in a four-year S-STEMcohort [32], [33], [34], [35
Conference Session
DASI Technical Session 2: Artificial Intelligence in Higher Education
Collection
2025 ASEE Annual Conference & Exposition
Authors
Ibukun Samuel Osunbunmi, Pennsylvania State University; Taiwo Raphael Feyijimi, University of Georgia; Lexy Chiwete Arinze, Purdue University at West Lafayette (COE); Viyon Dansu, Florida International University; Bolaji Ruth Bamidele, Utah State University; Yashin Brijmohan, Utah State University; Stephanie Cutler, The Pennsylvania State University
Tagged Topics
Diversity
Tagged Divisions
Data Science and Artificial Intelligence (DSAI) Constituent Committee
that theory-driven professionaldevelopment efforts can lead to a meaningful increase in students’ AI competencies. These findingshighlight the necessity for ongoing professional development initiatives that not only equipstudents with technical AI competencies but also foster ethical awareness and responsible use ofAI technologies. As the landscape of AI continues to evolve, such educational efforts are essentialin preparing students to meet the challenges and opportunities presented by artificial intelligence.This work lays the groundwork for scaling such professional development efforts and provides areplicable model that can inform national and global efforts to increase AI literacy in highereducation.References[1] S. J. Russell and P
Conference Session
Liberal Education/Engineering & Society Division (LEES) Technical Session 2: Identity, Professionalization, and Belonging I
Collection
2025 ASEE Annual Conference & Exposition
Authors
Brooks Michael Leftwich, Purdue University at West Lafayette (COE)
Tagged Divisions
Liberal Education/Engineering & Society Division (LEES)
Bureau’s American Community Survey highlight similardiscrepancies between science and engineering (S&E) graduates and STEM workers. Among 50million employed college graduates aged 25–64, 37% reported a bachelor’s degree in S&E whileonly 14% reported holding a STEM job. Further, 52% of workers who majored in engineeringwork in STEM [9]. These statistics do not show directionality, whether it is the person leavingengineering or engineering not receiving the person, but the large number of engineeringgraduates not working in STEM leaves room for further study.Other factors than the salary expectations quoted above may be influencing engineering studentsto take jobs outside of engineering. In a sample of 450 engineering graduates, Bielefeldt
Conference Session
Minorities in Engineering Division(MIND) Technical Session 15
Collection
2025 ASEE Annual Conference & Exposition
Authors
Syed Ali Kamal, University at Buffalo, The State University of New York; Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York; Nichole Ramirez, University of Texas at El Paso; Douglas B Samuel
Tagged Divisions
Minorities in Engineering Division(MIND)
Paper ID #47297Exploring changes in mental health conditions’ stigma levels and help-seekingattitudes among engineering studentsMr. Syed Ali Kamal, University at Buffalo, The State University of New York Syed Ali Kamal is a doctoral student at the Department of Engineering Education at University at Buffalo. He is working as a graduate research assistant at the DARE to CARE lab. His research interests lie in the area of social justice and issues related to diversity, equity and Inclusion.Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of
Conference Session
Minorities in Engineering Division(MIND) Technical Session 3
Collection
2025 ASEE Annual Conference & Exposition
Authors
Micheal Oketunde Okegbola, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Olushola V. Emiola-Owolabi, Morgan State University; Julius Ogaga Etuke, Morgan State University
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering Division(MIND)
both teams,adapting validated instruments such as the Global Diversity and Inclusion Benchmarks (GDIB),the Team Innovation Implementation (TII) [50], [51], [52], and the Social Capital instruments[53]. These tools were targeted at assessing various aspects of team diversity, communication,trust, collaboration, and innovation. The responses were collected using a 5-point likert scale,ranging from 1 to 5 (i.e. Strongly Disagree to Strongly Agree) [54]. See table 1Table 1. Sample questions from the questionnaire. S/No Question Strongly Agree Neutral Strongly Disagree Agree (A) (N) Disagree (D
Conference Session
The Real World-Project-Based & Experiential Learning
Collection
2025 ASEE Annual Conference & Exposition
Authors
Mojtaba Naseri, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University
Tagged Divisions
Civil Engineering Division (CIVIL)
, 2012.[2] V. Albino, U. Berardi and R. M. Dangelico, "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, vol. 22, no. 1, pp. 3-21, 2015.[3] H. T. S. Alrikabi and N. A. Jasim, "Design and Implementation of Smart City Applications Based on the Internet of Things," Int. J. Interact. Mob. Technol, vol. 15, no. 13, pp. 4-15, July 2021.[4] O. Andrisano, I. Bartolini, P. Bellavista, A. Boeri, L. Bononi and A. Borghetti, "The Need of Multidisciplinary Approaches and Engineering Tools for the Development and Implementation of the Smart City Paradigm," Proceedings of the IEEE, vol. 106, no. 4, pp. 738-760, 2018.[5] D. Kim, D. Kwon, L. Park, J. Kim and S. Cho, "Multiscale LSTM-Based Deep