novel capstonedesign projects derived from a summer clinical immersion experience [2], [3]. Przestrzelski, B.,et al., paired a clinical needs-finding immersion rotation with an internship at a technologytransfer office [4]. Pal, S., et al., reported on a program focused on Rehabilitation Engineeringand incorporated a Summer Immersion term for students between their 3rd and 4th years [5]. Byfar the most common method of connecting to engineering practice was the exercise of “needsfinding.” This function is an essential part of the Biodesign and innovation cycle, and we electedto focus our program development here, as well.In an effort to improve the impact of the “needs finding” exercise during clinical immersion,programs take a variety of
program educational objectives as well as ABET student learning outcomes [6]. These progressions also connect to the Kern Family Foundation (KEEN)’s entrepreneurial mindset [13], which proposes a set of attitudes, dispositions, habits, and behaviors that shape a unique, desirable engineering problem-solving approach. Learning Progressions Framework Development In previous work, we piloted the development of program-level learning progressions that connect directly to program educational objectives and ABET student learning outcomes [14]. This included developing a framework that identifies a set of pertinent competencies and breaks them into naive, intermediate, and informed stages through which students
Zhejiang Provincial Natural Science Foundation of China under Grant No.LZ22G030004. Any opinions, findings, conclusions or recommendations expressed in this material arethose of the author(s) and do not necessarily reflect the views of the Natural Science Foundation of Chinaor the Zhejiang Provincial Natural Science Foundation of China.REFERENCES[1] Xu L D, Xu E L, Li L. Industry 4.0: state of the art and future trends[J]. International journal of production research, 2018, 56(8): 2941-2962.[2] Zhao S, Zhang H, Wang J. Cognition and system construction of civil engineering innovation and entrepreneurship system in emerging engineering education[J]. Cognitive Systems Research, 2018, 52: 1020-1028.[3] Gallagher S E, Savage T. Challenge
for New Race and Ethnicity Categories.” 2024. IPEDS. 2024. https://nces.ed.gov/ipeds/report-your-data/race-ethnicity-definitions.Archer, Deborah N. 2020. “‘White Men’s Roads Through Black Men’s Homes’: Advancing Racial Equity Through Highway Reconstruction.” SSRN Scholarly Paper. Rochester, NY. https://papers.ssrn.com/abstract=3539889.Barkley, Elizabeth F., and Claire Howell Major. 2016. Learning Assessment Techniques: A Handbook for College Faculty. San Francisco, CA: Jossey-Bass, a Wiley brand.Biskjaer, M. M., Kamari, A., Jensen, S. R., & Kirkegaard, P. H. (2021). Exploring blind spots in collaborative value creation in building design: A creativity perspective. CoDesign, 17 (4), 374–391. https
rapidly evolving field. Asthe platform continues to evolve, it is expected to play an increasingly important role inpreparing the next generation of robotics professionals.AcknowledgmentsThis work was supported by the National Science Foundation (NSF) under Federal Award#DUE-2142360. The authors would like to thank the students and instructors who par-ticipated in the development and testing of the FORE platform, as well as the Universityof Nevada, Reno, for providing the necessary resources and support.References [1] Shill, P. C., Wu, R., Jamali, H., Hutchins, B., Dascalu, S., Harris, F. C., & Feil- Seifer, D. (2023). WIP: Development of a student-centered personalized learning framework to advance undergraduate robotics education
perception that should be addressed.Regarding the free response questions, pre-survey question 1-3 asked about their interest in thecamp, prior coding experience, and whether they knew if there was a class at their school. 10 of16 campers indicated there was class at school, 11 indicated prior coding experience, rangingfrom game scripting and “drag-and-drop” IDEs (e.g. Scratch) and 9 expressed a genuine interestin the camp and only 1 indicated s/he was made to attend camp by a parent. Game developmentwas the most popular motivation but there were a variety of responses, with a couple includingAI. The word association question (Q13/Q11) largely did not yield valuable insights; manyrespondents did not follow the instructions and wrote complete
, website portfolios consistent with manypre-college design programs like Silvestri et al.’s work [3] and incorporating elements ofempathy and ethics as recommended by Povinelli [4].This program, first offered in 2022 at Duke University, was an outcome of a standingdepartmental committee focused on the dissemination and broader impact of mechanicalengineering and materials science. One goal was to establish outreach programs that wouldprovide meaningful, active learning for the student, in a collaborative and cooperativecommunity indicative of an engineering design company. We anticipated that these immersiveexperiences would increase interest, awareness, and retention in engineering education andcareers.2. Pedagogical approachThe pedagogical
Research & Social Science, vol. 113, 2024, doi: 10.1016/j.erss.2024.103541.[11] K. Vogel. "Nebraska experts weigh highway safety and electric vehicles." https://engineering.unl.edu/news/240131/mwrsf_evs_safety/ (accessed January 22, 2025).[12] S. Krügel and M. Uhl, "The risk ethics of autonomous vehicles: an empirical approach," Scientific Reports, vol. 14, no. 1, 2024, doi: 10.1038/s41598-024-51313-2.[13] D. Bairaktarova and A. Woodcock, "Engineering Student’s Ethical Awareness and Behavior: A New Motivational Model," Science and Engineering Ethics, vol. 23, no. 4, pp. 1129-1157, 2016, doi: 10.1007/s11948-016-9814-x.[14] E. K. Bucholz, C. M. Kim, J. R. Chan, and C. P. Ferney, "The Snail Progression of
steps outlined in Borrego et al.’s [9] paper.Multiple databases were examined using the Utah State’s database directory. The author selectedthree databases for the paper selection phase: Scopus, ASEE Peer Directory, and Google Scholar.Autumn Cuellar selected these databases because they were the only ones that produced validpaper entries when using specialized keywords. Other databases did not produce any papers thatmatched the inclusion criteria outlined below. Most articles came from Scopus and the ASEEPeer Directory. A few articles were discovered on Google Scholar.The first author used multiple keywords in conjunction with each other for the search. Thekeywords used were UDL, universal design for learning, stem, engineering, students
navigate environmental obstacles autonomously as a part of this goal.II. DEFINITION OF TERMSTo prevent confusion, unless otherwise specified, the following terms are used according to thesedefinitions throughout this document. All monetary values are in United States Dollars (USD),unless otherwise specified.Limb – a complete, fully constructed arm segment or joint, which contains modular attachmentpoint(s) for expansion, and consists of one or more modules.Module – an organizational concept comprised of purpose-built hardware containing one or moreneurons.Nerve, neuron, or node – a software or mathematical construct, representing a single node in anartificial neural network (ANN). When referring to the biological concept, the term
consider how ourfindings might be used in this tool to support students and their teammates with self-advocacyand mutual understanding.AcknowledgementsWe would like to thank Piper Fraker for her help cleaning and preparing the transcripts used inthis study.References[1] Shmulsky, S., Gobbo, K., Donahue, A., and Klucken, F, “Do Neurodivergent CollegeStudents Forge a Disability Identity? A Snapshot and Implications,” Journal of postsecondaryeducation and disability (Print), vol. 34, no. 1, pp. 53-, 2021.[2] J. M. Hanson, T. L. Trolian, M. B. Paulsen, and E. T. Pascarella, “Evaluating theinfluence of peer learning on psychological well-being,” Teaching in Higher Education, vol. 21,no. 2, pp. 191–206, Feb. 2016, doi: 10.1080
growing body of scholarship on transformative engineering education byoffering empirically grounded insights into how students engage with issues of EJ, sustainability,and societal impact in engineering contexts.1.2 BackgroundIt is well-established that communities of color experience higher levels of exposure to and harmfrom environmental hazards and undue environmental justice challenges. In fact, in our currentstate within the U.S., an individual’s zip code remains one of the strongest indicators of theirhealth and overall well-being [1]. Since the rise of the EJ movement in the 1960’s, theEnvironmental Protection Agency’s creation of Office of Environmental Equity (later renamedOffice of Environmental Justice) in the 1990’s, and soon after
having trouble figuring out meeting times and schedules. Certain member(s)skipped lab sessions due to one reason or another, which could contribute to the decreased scorein sharing ideas and equal workload.Figure 3: Tandem teamwork response (team average) for Team ‘8fad’: “needs support”. Bestviewed in color.Figure 4: Tandem teamwork response (team score spread) for Team ‘8fad’: “needs support”. Bestviewed in color.Interestingly, we observed that even for this group, the team confidence went up from an initiallow 2.0 to a final 7.0 out of 9, which is a significant improvement. In class, the team did showimproved performance in some of the later projects and they were able to accomplish all majortasks with decent performance (group score average
have contributedtheir initial post, please review all of the posts shared by your classmates. Select two posts ofyour choice, then indicate whether you agree or disagree with each post (this is done through twoseparate replies). You may either agree with a classmate’s idea(s) by bringing in new evidence(supporting view/opinion) or provide different perspectives.Expectations: The initial post is due before class time on Thursday. A 25% reduction in grade will be applied for late submissions (missing this deadline). The length of your initial post should be between one and three pages (12-point, single spacing). Be ready to discuss your initial post in class. The subsequent post is due by class time on Thursday. A
philosophical, theoretical, and methodologicalfoundations needed to ethically render trustworthy accounts of human experience. The field ofengineering education can, perhaps, benefit most from the promise of narrative research througha community approach to innovate new narrative methodologies and methods that cohere withbroader narrative research traditions while, at the same time, uniquely support inquiries ofexperience in the engineering education context.AcknowledgementsThis material is based on work supported by the National Science Foundation (NSF) under Grant2045634. All findings, opinions, conclusions, and recommendations are those of the authors anddo not necessarily reflect the views of the NSF.References[1] S. E. Chase. “Narrative inquiry
humanities approach, to help our students succeed in school, in work, and in life.AcknowledgmentThis material is based upon work supported by the National Science Foundation under grantnumber DUE #2147320. Any opinions, findings, and conclusions or recommendations expressedare those of the authors and do not necessarily reflect the views of the NSF.Bibliography[1] E. Davishahl, A. F. Booker and P. S. M.-I. a. P. Burnett, "Board 351: Preparing Early Engineers Through Context, Connections, and Community," in 2024 ASEE Annual Conference & Exposition, Portland, 2024.[2] E. A. Reddy, M. S. Kleine, M. Parsons and D. Nieusma, "Sociotechnical Integration: What Is It? Why Do We Need It? How Do We Do It?," in ASEE Annual Conference &
experience and provides keyevidence for continuing and expanding opportunities for co-teaching and real-worldinterdisciplinary problem solving.References[1] A. W. Glancy and T. J. Moore, "Theoretical foundations for effective STEM learningenvironments," School of Engineering Education Working Papers, Paper1, 2013.http://docs.lib.purdue.edu/enewp/1[2] National Academies of Sciences, Engineering, and Medicine, Graduate STEM Education forthe 21st Century. Washington, DC: The National Academies Press, 2018. doi:https://doi.org/10.17226/25038.[3] L. Sunra, N. Aeni, and F. H. S. Sally, "A Comprehensive Exploration of Outcome-BasedEducation Principles and Practices," Asian Journal of Education and Social Studies, vol. 50, no.1, pp. 1-9, 2024.[4] H. E
first prompt asks Gemini 1.5 Flash to identifyand categorize entrepreneurial concepts appearing in university mechanical engineeringcurricula. The second requests associated keywords, and the third requires identification ofmotivations for incorporation of entrepreneurship. All prompts constrain Gemini to use peerreviewed sources. Unedited AI output appears in supplemental material (See Appendix A). Thissection summarizes Gemini 1.5’s primary responses and closes with commentary on thecredibility of the AI output.According to Gemini 1.5, entrepreneurial ideas appear in the mechanical engineering curriculumas project-based design courses, courses on creativity and design thinking, and dedicatedbusiness skills courses tailored to technologists
. Communications in Computer and Information Science, H. Florez and H. Astudillo, Eds. Springer, Cham, 2025, vol. 2237, accessed: 21-Oct-2024. [Online]. Available: https://doi.org/10.1007/978-3-031-75147-9 4 [3] K. Shah, P. Lee, D. Barretto, and S. N. Liao, “A qualitative study on how students interact with quizzes and estimate confidence on their answers,” in Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1, ser. ITiCSE ’21. New York, NY, USA: Association for Computing Machinery, 2021, p. 32–38. [Online]. Available: https://doi.org/10.1145/3430665.3456377 [4] S. N. Liao, “Early identification of at-risk students and understanding their behaviors,” Ph.D. dissertation, UC San
Association. [Online]. Available: http://https://search.ebscohost.com/login.aspx?direct=truedb=pdhAN=2002-17916-014[17] A. P. Hill, S. H. Mallinson-Howard, and G. E. Jowett, “Multidimensional perfectionism in sport: A meta-analytical review.” Sport, Exercise, and Performance Psychology, vol. 7, no. 3, pp. 235–270, Aug. 2018. [Online]. Available: https://doi.apa.org/doi/10.1037/spy0000125[18] M. M. Smith and D. H. Saklofske, “The Structure of Multidimensional Perfectionism: Support for a Bifactor Model With a Dominant General Factor,” Journal of Personality Assessment, vol. 99, no. 3, pp. 297–303, May 2017, publisher: Routledge eprint: https://doi.org/10.1080/00223891.2016.1208209. [Online]. Available: https://doi.org
, vol. 22, no. 3, 2016.[8] C. Carrigan et al., "Active agents and fictive kin: Learning from Pell-eligible engineering students' class standpoint," Journal of Women and Minorities in Science and Engineering, vol. 25, no. 2, 2019.[9] K. G. Wilkins-Yel, A. Simpson, and P. D. Sparks, "Persisting despite the odds: Resilience and coping among women in engineering," Journal of Women and Minorities in Science and Engineering, vol. 25, no. 4, 2019.[10] C. B. Buschor, S. Berweger, A. Keck Frei, and C. Kappler, "Majoring in STEM— What accounts for women's career decision making? A mixed methods study," Journal of Educational Research, vol. 107, no. 3, pp. 167–176, 2014.[11] J. S. Eccles, "Understanding women's
stakeholders for their participation in the inUniversity of Waterloo Biomedical Stakeholder Café in Fall 2023 and Fall 2024. Additionalacknowledgement is also extended to funders of the Biomedical Stakeholder Café, including theUniversity of Waterloo Faculty of Engineering Dean’s Office, the Department of Systems DesignEngineering, the Library, and the LITE Grant.References[1] M. H. Yip, R. Phaal, and D. R. Probert, “Integrating Multiple Stakeholder Interests into Conceptual Design,” Engineering Management Journal, vol. 31, no. 3, pp. 142–157, Jul. 2019, doi: 10.1080/10429247.2019.1570456.[2] I. S. Khayal, “Designing Technology and Healthcare Delivery Systems to Support Clinician and Patient Care Experiences: A Multi-Stakeholder Systems
questions thatstudents can answer with no constraint on the number of characters, but then are summarized oraddressed during class. The structure of the form is concrete and is as follows: Element Type Lecture Semester and Number Label Form’s Topic Label Question(s) Field (text/image/multiple choice - several combined) Table 1: Elements of the Course Interaction ToolsComponent B. Multimedia Material (ClassTranscribe). Online multimedia tools likeClassTranscribe provide inclusive, accessible, and flexible learning opportunities. Byautomatically generating transcripts from lecture videos, ClassTranscribe ensures multiple meansof
Paper ID #48388BOARD # 188: WIP Enhancing STEM Degree Completion: Progress of theCivil and Mechanical Engineering (CAM) Scholarship ProgramDr. Sean Stephen Tolman, Utah Valley University Sean S. Tolman is an Associate Professor in the Mechanical Engineering Program at Utah Valley University in Orem, UT. He earned his BSME degree at Brigham Young University in 2002 and a MSME degree from the University of Utah in 2008 before returning toDr. Matthew J Jensen, Utah Valley University Dr. Matthew J. Jensen received his bachelor’s degree in Mechanical Engineering from Rose-Hulman Institute of Technology in 2006. Matthew received
students without requiring significantadditional workload. These findings point toward the key role of instructor mindset in buildingmore neuroinclusive environments. Future efforts may explore the role of AI technology inproviding personalized learning tools and supporting neuroinclusive practices more efficiently sothat educators can maintain these practices without burnout. Longitudinal studies are needed toassess their long-term impact on student success and retention in engineering programs.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1920761. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily
Technology and Science (CloudCom), Dec. 2016, pp. 633–638. [Online]. Available: https://doi.org/10.1109/CloudCom.2016.0109 [6] N. Nellore and M. Zimmer, “Towards a Systematic Review of Data Science Programs: Themes, Courses, and Ethics,” in Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2, ser. SIGCSE 2023. New York, NY, USA: Association for Computing Machinery, Mar. 2023, p. 1413. [Online]. Available: https://doi.org/10.1145/3545947.3576356 [7] A. Badir, S. Tsegaye, and L. D. Nguyen, “Data Science in the Civil Engineering Curriculum,” Jun. 2023. [Online]. Available: https://doi.org/10.18260/1-2--42870 [8] D. Asamoah, D. Doran, and S. Schiller, “Teaching the Foundations of Data Science: An
(n=60) 7The GAI tools’ compatibility with human assessor assessment results depends on rubric structureand language. We used MECH 309’s Fall 2022 samples to investigate discrepancies betweenhuman assessor scores and GAI-generated scores within the lab using one rubric. The lab’srubric, shown in Table A.2, had four criteria: 1) technical background, 2) tables and figures, 3)data analysis and comparisons, and 4) structure and conventions. Table 2 presents average scoresand % difference for each rubric criterion. The smallest % difference was observed in Criterion1) technical background, as this criterion requires evaluating consistent
as academic performance and retention. ethodsMThis particular study is part of a larger project investigating “chosen family” in engineering education [9],[22]. Authors [22] describechosenfamilyas“person[s]outsideofthe[student’s] traditional family with individual or institutional power who genuinely and empathetically support and uplift [students] disrupting the [student’s] place amongst the structure- agency dialectic,andinturn,instillingastrongsenseofbelonging”(p.2-3).Inshort,chosenfamiliesare families students choose, who help the student enact agency in light of