work will expand toregression problems and incorporate local interpretability techniques like LIME and Eli5.References [1] O. Scheuer and B. M. McLaren, “Educational data mining,” in Encyclopedia of the Sciences of Learning, Boston, MA: Springer US, 2012, pp. 1075–1079. [2] F. Alshareef, H. Alhakami, T. Alsubait, and A. Baz, “Educational Data Mining Applications and Techniques,” International Journal of Advanced Computer Science and Applications, vol. 11, 2020. [3] T. Zarsky, “Transparency in data mining: From theory to practice,” in Studies in Applied Philosophy, Epistemology and Rational Ethics, Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 301–324. [4] S. Roy and A. Garg, “Predicting academic performance of
project has set the stage for lasting cultural transformation. Sustaining these gainswill require ongoing commitment despite leadership transitions and funding shifts. Futureresearch should examine long-term student outcomes and faculty engagement, while broaderadoption of this model could promote systemic change in engineering education.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 reflect the views of the National ScienceFoundation. References[1] S. M. Lord et al, "Talking about a revolution
., & Gannon, P. (2024). Technology-rich engineering experiences in Indigenous and rural schools. International Journal of Education in Mathematics, Science and Technology, 12(4), 1090-1108.Bryan, L., & Guzey, S. S. (2020). K-12 STEM education: An overview of perspectives and considerations. Hellenic Journal of STEM Education, 1(1), 5-15. https://doi.org/10.51724/hjstemed.v1i1.5Calabrese Barton, A., Schenkel, K., & Tan, E. (2021). Collaboratively engineering for justice in sixth grade STEM. Journal of Research in Science Teaching, 58(7), 1010-1040. https://doi.org/10.1002/tea.21691Caratozzolo, P., Alvarez-Delgado, A., & Hosseini, S. (2020, October). Perspectives on the use of serious
Personnel), and Dr. Michael Ibrahim (Leadership Team), Dr.Jane Dong (Past Co-PI), Dr. Silvia Heubach (Past Co-PI), Dr. Jose Mijares-Palacios (Past SeniorPersonnel), Dr. Christina Restrepo Nazar (Past Senior Personnel), for their invaluablecontributions and support.Referencesi National Academies of Sciences, Engineering, and Medicine, Minority Serving Institutions: America’sUnderutilized Resource for Strengthening the STEM Workforce. Washington, DC: The National Academies Press,2019. DOI: 10.17226/25257.ii G. B. Menezes, E. L. Allen, G. Ragusa, E. Schiorring, and P. S. Nerenberg, “Quantitative and QualitativeAssessment of Large-scale Interventions in a First-year Experience Program,” in Proc. 2019 ASEE AnnualConference & Exposition, Tampa
the project, two teachers in different schools implemented the unit across their 5science classes, with a total of 85 sixth-grade students.Analysis of the classroom data from year 1 will help us understand the key opportunities andchallenges presented by this critical climate tech journalism approach to middle schoolengineering. We have begun to study the relationships between engineering design activities,communication practices, and climate change education within linguistically and culturallydiverse classrooms. Below, we summarize current areas of research based on this year 1 data.Study 1: Enacting Critical Science and Engineering AgencyIn this study, we extend Basu et al.’s work [12] on critical science agency to include engineering.We
," in Proceedings of the 2001 AmericanSociety for Engineering Education Annual Conference & Exposition, Albuquerque, NM, 2001.[5] C. Greco, J. D. Reasoner, D. Bullock, C. L. Castillo, P. S. Buford and G. G. Richards,"Efficacy of Lab Reports for Electric Circuits Laboratory Assessment," in Proceedings of the2011 American Society of Engineering Education Annual Conference, Vancouver, BritishColumbia, 2011.[6] L. Feisel and G. Peterson, "A Colloquy on Learning Objectives For Engineering EducationLaboratories," in Proceedings of the 2002 American Society for Engineering Education AnnualConference, Montreal, Canada, 2002.[7] J. Parkinson, "The Student Laboratory Report Genre: A Genre Analysis," English for SpecificPurposes, vol. 45, pp. 1-13
. (1970). The servant as leader. Indianapolis, IN: The Greenleaf Center for Servant Leadership. 2. McClellan, Jeffrey L. (2013). Contributing to the development of student leadership through academic advising. Journal of Leadership Education, 12(1), 207-233. 3. Darroch, B. (2023). The impact of COVID-19 on student engagement in STEM disciplines: A critical analysis. Journal of Higher Education, 94(1), 112-138. 4. Douglas, H. M., Settles, I. H., Cech, E. A., Montgomery, G. M., Nadolsky, L. R., Hawkins, A. K., Ma, G., Davis, T. M., Elliott, K. C., Cheruvelil, K. S., & Grundy, Q. (2022). Disproportionate impacts of COVID-19 on marginalized and minoritized early- career academic scientists. PloS One, 17(9
Leave: Understanding Student Attrition from Engineering Majors," Interntational Journal of Engineering Education, pp. 914-925, 2013.[2] N. Honken and P. Ralston, "Freshman Engineering Retention: A Holistic Look," Journal of STEM Education, vol. 14, no. 2, pp. 29-37, 2013.[3] E. Seymour and N. M. Hewitt, Talking About Leaving: Why Undergraduates Leave the Sciences, Boulder, CO: Westview Press, 1997.[4] S. Sheppard, A. Colby, K. Macatangay and W. Sullivan, "What is Engineering Practice?," International Journal of Engineering Education, vol. 22, no. 3, pp. 429-438, 2006.[5] J. E. Froyd, P. C. Wankat and K. A. Smith, "Five major shifts in 100 years of engineering education," Proceedings of the IEEE, vol. 100, no. Special Centennial
, analysiswill be run via established methods [16], inconjunction with initial trial data. Other datacollected includes gender, age, and race, and witha larger data pool it may be possible toincorporate assessment on STEAM interest and Figure 8: Milk Paint Creation by Study Participantengagement with more population specificvariables.AcknowledgementsThe team would like to recognize and give thanks to Monica Keszler, the artist behind “MilkPaint is Chemical Engineering” [18] and “Hair Dye is Chemical Engineering” [15], whoprovided insightful artistic feedback and brought this work to life. For whom without, this studywould not be possible.References[1] S. Belbase, B. R. Mainali, W. Kasemsukpipat, H. Tairab, M. Gochoo, and A. Jarrah, "At
evaluations are a very standard part of monitoring the efficacy of university instructorsand provide instructors with valuable feedback for improving their own performance and theexperience of students.1 The instruments to evaluate standard academic courses, however welldesigned and validated they may be for that task, do not typically serve well to evaluate how theadvisors of senior design (capstone) project teams perform their duties. Yet the same courseevaluation instrument is often applied to capstone project advisors by default, since capstone istypically listed and registered as an academic course.The idea of the modern capstone project largely emerged in the 1980’s, rapidly accelerating inadoption through the end of the millennium and reaching
received full-time employment offers after graduation. Additionally, four otherUTRGV students have received internship offers for the summer of 2025, and eight new studentsare being hired to join in Fall 2025.REFERENCES[1] S Hurtado, K Eagan, T Figueroa, B Hughes. Reversing Underrepresentation: The Impact ofUndergraduate Research Programs on Enrollment in STEM Graduate Programs. Los Angeles:Higher Education Research Institute, 2014.[2] Petrella, John K and Alan P Jung. “Undergraduate Research: Importance, Benefits, andChallenges” International journal of exercise science vol. 1,3 91-95. 15 Jul. 2008.[3] Carter, F. D., Mandell, M., & Maton, K. I. (2009). The Influence of On-Campus, AcademicYear Undergraduate Research on STEM Ph. D. Outcomes
…use effective communication and Application of Communication & 7 collaboration skills in professional contexts. Collaboration Skills …exhibit professional skills and ethical Professional Skills & 8 responsibilities in design practices. ResponsibilitiesThe team then interviewed faculty about the required course(s) they recently taught or currentlyteach to understand which ABET student outcomes are met by the courses and how they areassessed. The interview protocol is provided in the appendix; all interviews were recorded
software design components.The Missouri University of Science and Technology’s (S&T) Electrical and ComputerEngineering (ECE) Cooperative Engineering Program (CEP) serves as a testbed for the project-based instruction implementation in multiple sequential courses.KeywordsElectrical and Computer Engineering, Project-Based Instruction.IntroductionCourse projects allow students to gain valuable engineering design and analysis skills that aim toprepare them for their chosen career path [1-4]. Past research has repeatedly demonstrated theneed for active project-based learning, which involves significant hands-on projects for deeperlearning and knowledge retention [3-4]. The goal of this paper is to suggest a basic framework toimplement project
retaining autistic talent in STEMM,” iScience, vol. 27, no. 3, p. 109080, Mar. 2024.[6] A. Cuellar, B. Webster, S. Solanki, C. Spence, and M. Tsugawa, “Examination of Ableist Educational Systems and Structures that Limit Access to Engineering Education through Narratives,” in 2022 ASEE Annual Conference & Exposition, peer.asee.org, 2022. [Online]. Available: https://peer.asee.org/41800.pdf[7] A. Cuellar, S. Principato, S. Solanki, C. Spence, and M. Tsugawa, “Work in Progress: Transferability of a Neurodivergent Codebook Developed from TikTok to Neurodivergent Engineers,” in 2023 ASEE Annual Conference & Exposition Proceedings, ASEE Conferences, 2024. doi: 10.18260/1-2--44378.[8] C. C. Wang and S. K. Geale
-Spencer, and K. Frias, “The Role of Mentorship in StudentPreparation for Impactful Internships,” in 2022 ASEE Annual Conference and Exposition, Aug.2022.[2] A. Lozano-Nieto, “Internship Experiences in Biomedical Engineering Technology: AnOverview of Students and Prospective Employers Perceptions,” in 1998 ASEE AnnualConference and Exposition, Jun. 1998.[3] E. Kramer-Simpson, “Moving from Student to Professional: Industry Mentors and AcademicInternship Coordinators Supporting Intern Learning in the Workplace,” Journal of TechnicalWriting and Communication, vol. 48, no. 1, pp. 81–103, May 2016.[4] M. F. Cox, O. Cekic, and S. G. Adams, “Developing Leadership Skills of UndergraduateEngineering Students: Perspectives from Engineering Faculty,” Journal
fairness indecision-making. By bridging predictive modeling with real-world applications, this researchlays the foundation for a transformative AI-driven educational ecosystem.7. References [1] S. Lopes, G. Rocha, and L. Guimarães-Pereira, "Artificial intelligence and its clinical application in Anesthesiology: a systematic review," J. Clin. Monit. Comput., vol. 38, no. 2, pp. 247–259, 2024. [2] A. Konya and P. Nematzadeh, "Recent applications of AI to environmental disciplines: A review," Sci. Total Environ., vol. 906, p. 167705, 2024. [3] R. Thakur, "Introduction to artificial intelligence and its importance in modern business management," in Leveraging AI and Emotional Intelligence in Contemporary Business
? (i.e., why did you do it this way? How would you have responded if xyz happened instead today?) 8. What class content was particularly interesting/engaging? 9. Other comments or questions.References [1] Resources for teaching evaluation guides. https://tinyurl.com/5ah3ehc3, 2021. Accessed on June 3, 2024. [2] American Sociological Association. Statement on student evaluations of teaching. www. asanet.org/studentevaluations, 2020. Accessed on February 9, 2025. [3] T. C. Andrews, P. Brickman, E. L. Dolan, and P. P. Lemons. Every tool in the toolbox: Pursuing multilevel institutional change in the DeLTA project. Change: The Magazine of Higher Learning, 53(2):25–32, 2021. [4] O. R. Arag´ on, E. S. Pietri, and B. A. Powell
Science Foundation underGrant 2306239. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] S. Basir and E. Burkholder, “Investigating faculty perspectives on written qualifying examsin physics,” Phys. Rev. Phys. Educ. Res., vol. 20, no. 1, pp. 010139-1 - 010139-17, May 2024,doi: 10.1103/PhysRevPhysEducRes.20.010139.[2] R. Liera, A. J. Rodgers, L. N. Irwin, and J. R. Posselt, “Rethinking doctoral qualifying examsand candidacy in the physical sciences: Learning toward scientific legitimacy,” Phys. Rev. Phys.Educ. Res., vol. 19, no. 2, pp. 020110-1 - 020110-15, Aug. 2023, doi:10.1103/PhysRevPhysEducRes
course. The name “chaos” garners attentioncolloquially as well. However, the viability of the course as an elective depends on its perceivedusefulness towards fulfilling degree requirements and career goals, along with difficulty inscheduling it among the students’ other program requirements. Future offerings should beactively promoted in differential equations classes during the previous semester(s); by recruitingstudents in this context, connections will be built between their current learning and further studywithin the discipline, even if they choose not to take the course.There are several benefits of a moderate class size (10-20 students), particularly in relation to themodeling project, including: • Representation of more disciplinary
. Thesurvey included 15 statements with response options of one. These questions measuredinnovation self-efficacy (ISE) using the Very Brief Innovation Self-Efficacy scale, innovationinterest (INI) using the Innovation Interests scale, and innovative work goals using the CareerGoals: Innovative Work scale (IW), all out of 7 points (adapted from [7] and [8]). The end of thesurvey prompted students to identify their gender identity, race/ethnicity, and whether or not theyidentified as Neurodivergent (ND). If the students answered either Yes or Maybe ND, they wereasked to list which type(s) of ND they identified with. 6 consenting students identified as YesND, 5 as Maybe ND, and 25 as NT.Overall, there were 37 students who consented to participate in
continuingdiscussion regarding the future of higher education and how to best integrate different teachingsettings to optimize student engagement, success, and retention. As a result, the findings of thisstudy will enable institutions to efficiently combine face-to-face and online learning experiences,balancing flexibility with community-building to match the evolving demands of various studentbackgrounds [16].References:[1] Dulfer, N., Gowing, A., & Mitchell, J. (2024). Building belonging in online classrooms:relationships at the core. Teaching in Higher Education, 1-17.[2] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., &Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering
and beyond the classroom: Research ethics and participatory pedagogies. Area, 40(4), 500-509.Boucher, J., Smith, G., & Telliel, Y. (2024). Is Resistance Futile?: Early Career Game Developers, Generative AI, and Ethical Skepticism. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-13).Davis, M., Hildt, E., & Laas, K. (2016). Twenty-Five Years of Ethics Across the Curriculum: An Assessment. Teaching Ethics, 16(1), 55-74.Dutta, R., Pashak, T. J., McCullough, J. D., Weaver, J. S., & Heron, M. R. (2019). From consumers to producers: Three phases in the research journey with undergraduates at a regional university. Frontiers in Psychology, 9, 2770.Goldberg, D. E., & Somerville, M
, 2025The State of the Practice Integrating Security in ABET Accredited ComputerScience ProgramsAbstract:Within the computing fields, concerns related to security continue to grow. Since the early2000’s, cyberattacks against deployed software systems have grown significantly. In 2017,recognizing this concern, a modification to the program accreditation criteria for computingprograms was proposed and accepted which explicitly required topical coverage of securityaccredited programs. Since taking effect in 2019, all accredited computing programs have had todemonstrate proper coverage of the topic as part of the accreditation process. While the criteriarequire that the topic of security be covered, the implementation is left open to individualprograms
issues and wanted to see theToriginal comments from their teammates instead of the summarized comments.Implications and Discussion s this work demonstrates, generative AI is a valuable tool that can be effectively utilized inAengineering education. It can help automate instructor processes to provide students with constructive, concise, and summarized feedback, enabling them to improve their teamwork skills. Summarizing feedback is a valuable use case because it helps students develop the teamwork skills essential for engineers in the workplace[2]. Generally, students had positive perceptions of generative AI being utilized in this way; however, some students raised concerns about losing nuance in the summary and
: The impact of a university makerspace. International Journal of STEM Education, 8, 1-18.Andrews, M. E., & Boklage, A. (2023, October). Spaces and Practices within University Makerspaces. In 2023 IEEE Frontiers in Education Conference (FIE) (pp. 1-5). IEEE.Barrett, T. W., Pizzico, M. C., Levy, B., Nagel, R. L., Linsey, J. S., Talley, K. G., & Newstetter, W. C. (2015, June). A review of university maker spaces. In 2015 ASEE Annual Conference & Exposition (pp. 26-101).Buckner, A., Bradshaw, J., & McGuffin-Cawley, J. (2022). Help! I Need Somebody–Not Just Anybody: Impact of Student Technician Staffing at an Academic Makerspace.Chambers, B. D., Dowell, Z. D., & Bedard, N. (2023, June). Evaluation of
or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation. We would like to express gratitude to the research groups whoparticipated in this study and for their willingness to open their meetings to us and providefeedback on the initial drafts of this paper. Finally, we would like to thank the members of theENLITE research team who gave feedback on the drafts of this paper.References[1] Van den Beemt, A., M. MacLeod, J. Van der Veen, A. Van de Ven, S. Van Baalen, R. Klaassen, and M. Boon, “Interdisciplinary engineering education: A review of vision, teaching, and support,” Journal of engineering education, vol. 109, no. 3, pp. 508-555
impact, the project identifies several short- and long-termperformance goals. These goals serve as guiding benchmarks for recruitment, training,implementation, and student outcomes. Table 2 outlines these key goals and their correspondingevaluation measures.Table 2. Proposed Framework: short- and long-term goals and suggested assessment Performance Goal(s) Key Measure(s) Recruitment of HS Number of HS teachers who express interest and willingness to Teachers participate in training and teach the aviation curriculum Professional development Number of HS teachers who achieve FAA Part 107 certification and of HS Teachers demonstrate readiness to deliver
independentlyassessed by three raters using Grohs's systems thinking assessment tool [9], and the scores weresubsequently compiled. For instance, the following is Participant 20's response to Prompt 7,where the three raters did not completely agree: “One challenge is getting the government to agree to helping this village. It may not help at all. Another challenge is figuring out who gets the $1,000 grants. One limitation is that only 50 people will get the grant.”The three raters provided the following scores for this answer, as shown in Table 1. Prompt 7: Implementation Challenges Rater Notes by rater 1 Rater Notes by rater 2 Rater Notes by rater 3 Student ID Rater 1 Rater 2
approaches, faculty development programs, and targetedsupport for First-Generation College Students. Future research should investigate specific pointsof attrition, including transfer patterns, and explore how institutional factors like curriculumdesign and advising can be leveraged to enhance student success. Diversifying STEM pathwaysand supporting underrepresented students are crucial for cultivating a skilled workforce.References[1] J. M. Braxton, W. R. Doyle, H. V. Hartley, A. S. Hirschy, W. A. Jones, and M. K. McLendon,Rethinking College Student Retention. [Online]. Available: http://ci.nii.ac.jp/ncid/BB17394375[2] S. Robbins, J. L. Bloom, and W. R. Habley, Increasing Persistence: Research-BasedStrategies for College Student Success. 2012.[3
students’ comfort levels when working on a new soft robotics project. Thisis unsurprising, as the majority of respondents were returning from the previous semester.The survey evaluated the effectiveness of the progress made during the semester in accomplishingthe LOs of the clinic (Figure 1B, C). The LOs are as follows: use 3D modeling in soft robotprototype design (3D Model), demonstrate soft robot actuation principles (Demo Actuate),integrate your actuation principle in a soft robot prototype (Proto Actuate), develop learning softrobotic activities (Learning Activity), develop soft robotic learning outcomes (Learning Outcome),explain the scientific principle(s) behind your design's actuation mechanism (Explain Actuate),and design a soft robot