may aggravate stress, distress, and traumatic experiences that inordinately impact BLstudents.References[1] K. J. Jensen and K. J. Cross, “Engineering stress culture: Relationships among mental health, engineering identity, and sense of inclusion,” Journal of Engineering Education, vol. 110, no. 2, pp. 371–392, 2021, doi: 10.1002/jee.20391.[2] M. Asghar, A. Minichiello, and S. Ahmed, “Mental health and wellbeing of undergraduate students in engineering: A systematic literature review,” Journal of Engineering Education, vol. 113, no. 4, pp. 1046–1075, 2024, doi: 10.1002/jee.20574.[3] H. Perkins et al., “Holistic Wellbeing and Belonging: Attempting to Untangle Stress and Wellness in Their Impact on Sense of Community in
, orresearch competency development among engineering graduate students.Main and Wang [3] are two of the only researchers to date who have conducted interculturalcompetency research among engineering doctoral students, and the results demonstrate that femaleengineering doctoral students are more likely to score higher on the MGUDS-S than maleengineering doctoral students. Proficiency in multiple languages is positively associated withdoctoral students’ intercultural competency.Several additional papers assessing the current status of graduate students [3], [4] recommendhaving work/volunteer-related international experience due to the positive correlation ofinternational experiences to the development of intercultural/global competencies in their
feedback and suggestions. Every newacademic year, teachers had access to an improved version of the curriculum, materials and guideas compared to the prior year. As previously noted, the results focus on the latest teacher feedbackfrom 2023-24, offering the most current insights.CurriculumFig. 1 shows curriculum rating by the teachers. With the v5.0 in 2024 the largest percentage ofteachers rated the curriculum as “very good” (43.3% in 2024, 31.7% in 2023, and 38.2% in 2022).That same year the percentage of teachers who rated the curriculum “excellent” dropped slightlybut both 2024 and 2023 were significantly higher than 2022’s rating (33.3% in 2024 vs. 34.1% in2023 vs. 20.6% in 2022). While the percentage rating for “fair” remained fairly
Paper ID #49227Exploring changes in metacognition, time management, and wellbeing amonggen Z first-year undergraduate engineering students.Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at the University at Buffalo – SUNY where she leads the Diversity Assessment Research in Engineering to Catalyze the Advancement of Respect and Equity (DAREtoCARE) Lab. Her research focuses on developing cultures of care and well-being in engineering education spaces, assessing gains in institutional efforts to advance equity and
: Critical Latinx Indigeneities and Education. Equity & Excellence in Education, 52(2–3), 219–238. https://doi.org/10.1080/10665684.2019.1672591Campbell-Montalvo, R. (2021). Linguistic Re-Formation in Florida Heartland Schools: School Erasures of Indigenous Latino Languages. American Educational Research Journal, 58(1), 32–67.Casanova, S. (2023). The “Other” Mexicans: Indigenous Yucatec-Maya Students’ Experiences with Perceived Discrimination. Journal of Latinos and Education, 22(5), 2178–2199. https://doi.org/10.1080/15348431.2022.2102496Casanova, S., Mesinas, M., & Martinez-Ortega, S. (2021). Cultural knowledge as opportunities for empowerment: Learning and development for Mexican Indigenous
University at Buffalo (UB), The State University of New York. She is also an Affiliated Faculty in the Department of Engineering Education, Department of Biomedical Engineering, Department of Pharmaceutical Sciences, and the Institute for Artificial Intelligence and Data Science.Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at the University at Buffalo – SUNY where she leads the Diversity Assessment Research in Engineering to Catalyze the Advancement of Respect and Equity (DAREtoCARE) Lab. Her research focuses on developing cultures of care and well-being in engineering education spaces, assessing gains in
, or full text. Initially, the articles were screenedbased on keywords in the title and abstract. Then the selected articles were screened furtherby reviewing the full text to ensure their relevance. The criteria for inclusion in the reviewwere as follows: (1) publication type- the publication was a journal article or conferencepaper, (2) empirical- the study reported empirical findings, (3) participants- K-12 and STEMstudents, (4) articles published after Carraher et al.’s [1], (5) language- the study was writtenin English. Studies were excluded if they did not answer the research questions. We chose tosynthesize the eighteen relevant articles based on the inclusion and exclusion criteria andrelevance based on the research questions. The
Foundation (NSF) CAREERAward. Phase 1 featured qualitative interviews of selected high school teachers, which informeda statewide survey in Phase 2 targeting all high school science teachers in Nebraska.Findings from this statewide study [25] revealed key deficiencies in the infrastructure, with 57%of teachers feeling unprepared to teach energy STEM topics due to limited professionaldevelopment, resources, and hands-on activity guidance aligned with Nebraska College andCareer Ready Science Standards (NCCRS-S) and the Next Generation Science Standards(NGSS) [26],[27]. Financial and travel constraints further limited access to in-person training,particularly for remote schools, emphasizing the need for alternative engagement modes. Thisstudy
-based evaluation, Student engagement in the group project, Face-to-face/Online global project-based learning, Miville-Guzman Universality-Diversity Scale(MGUDS-S), Group activity analysis, Accurate grading1. Introduction1.1 Research ObjectivesThis study aims to experimentally introduce peer assessment as a complementary method toaddress the limitations of Slack-based engagement evaluation in face-to-face group work, andto examine its effectiveness. In particular, the study investigates whether combining activityscores derived from Slack posts with peer-assessed scores can enable objective evaluation ofstudent engagement, even in a face-to-face setting. In this context, "Slack-based evaluation"refers to a method of assessing student engagement
while considering students’gender, specifically male versus female students, the results have been inconclusive orcontradictory (see [36]). Findings from Struck et al.’s review suggest that when considering livedexperiences tied to social positions, the deeply held beliefs surrounding AGT do not hold [22]. Additionally, studies that have used AGT in diverse cultural settings, primarily in EastAsian countries, refute many widely accepted beliefs about AGT [36]-[38]. For example, thesestudies have found a positive correlation between performance-avoidance goals and academicachievement with samples of Asian/East Asian students, a goal orientation that consistently showsa negative relationship with achievement when looking at samples of U.S
fostering durable skills,ensuring ethical AI practices, and equipping educators with the necessary tools, GenAI has thepotential to redefine engineering education and prepare students to thrive in an AI-integratedworld. References[1] J. Hutson and J. Ceballos, “Rethinking Education in the Age of AI: The Importance of Developing Durable Skills in the Industry 4.0,” J. Inf. Econ., vol. 1, no. 2, pp. 26–35, Jul. 2023, doi: 10.58567/jie01020002.[2] P. P. Ray, “ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope,” Internet Things Cyber-Phys. Syst., vol. 3, pp. 121–154, 2023, doi: 10.1016/j.iotcps.2023.04.003.[3] I. Celik, E. Gedrimiene, S. Siklander
Paper ID #48970Characterizing STEM Education in Latin America: A Literature Review onActive Learning and CompetenciesProf. Juan Sebasti´an S´anchez-G´omez, Universidad El BosqueMaria Catalina RamirezPedro Guillermo Feij´oo-Garc´ıa, Georgia Institute of TechnologyFidel Mauricio Ram´ırez Aristiz´abal, Universidad el BosqueLiliana Ahumada, Universidad el Bosque ©American Society for Engineering Education, 2025Characterizing STEM Education in Latin America: A Literature Review on Active Learning and CompetenciesJuan Sebastián Sánchez-Gómez1, María Catalina Ramirez Cajiao2, Pedro Guillermo Feijóo-García3
static int sumSkipDuplicates(Stack data) { return 0; } /** * Puts all of the digits of an integer into a stack, with the first * digit of the integer at the bottom of the stack and the last digit * of the integer at the top of the stack. */ public static Stack integerToStack(int n) { return null; } /** * Reverses a given stack, so that the top of the stack becomes the bottom * and the bottom becomes the top. */ public static void reverseStack(Stack s) { }}Below is a sample of the code that ChatGPT-4 generated for reversing a Stack. /** * Reverses a given stack, so that the top of the stack becomes the bottom ,→ and * the bottom becomes the top
to teach accessibility.Despite the wide implementation of accessibility education in higher education, limited effortsemphasized mobile accessibility. To our knowledge, Bhatia et al.’s mobile app developmentcourse was among the few reported efforts to teach mobile accessibility awareness, technicalknowledge, and empathy [15]. They used a combination of guest lectures, lectures, programmingassignments, and experiential activities to achieve these learning goals. El-Glaly et al. developedmobile apps for accessibility education [16]. However, they can be used only for experienced CSstudents and developers since they rely on technical knowledge of mobile app programming andparticularly as they require the installation of Android Studio. The
) Course Description Occurrence CAD course(s) 9 Machine design 6 Introductory engineering course 5 Mechatronics 4 Circuits 2 1The electrical engineering students did not show any repetition of classes, with two of themincluding the responses of “none” and one stating that they did not remember due to taking a lotof classes in a short period of time. Their responses included the Circuits 2 course mentioned byone dual major, a digital controls course, a course in PCBs, an electronics course, and a CADcourse. Of the two
ProjectsThough research in intrusion detection has been around for several years, applications are alwayschanging and morphing. Current intrusion detection processes suffer from several limitationswhen focusing on highly vulnerable network intrusions. First, with the increasing volume ofnetwork traffic -- existing intrusion detection processes fail to analyze the vulnerabilities in timeto predict possible network intrusion(s) from the chain of actions of an intruder. Second, currentintrusion detection systems produce a high volume of false positive alerts. And third, currentapproaches consider every sequence of network vulnerability to predict future intrusions ratherthan analyzing the comparatively significant sequences. Instead of teaching
083–12 121, 2022. [4] C. Guzm´an-Valenzuela, C. G´omez-Gonz´alez, A. Rojas-Murphy Tagle, and A. Lorca-Vyhmeister, “Learning analytics in higher education: a preponderance of analytics but very little learning?” International Journal of Educational Technology in Higher Education, vol. 18, pp. 1–19, 2021. [5] B. Rienties, Q. Nguyen, W. Holmes, and K. Reedy, “A review of ten years of implementation and research in aligning learning design with learning analytics at the open university uk,” Interaction Design and Architecture (s), vol. 33, pp. 134–154, 2017. [6] A. S. Alzahrani, Y.-S. Tsai, S. Iqbal, P. M. M. Marcos, M. Scheffel, H. Drachsler, C. D. Kloos, N. Aljohani, and D. Gasevic, “Untangling connections between challenges
allowed to use generative AI tools (e.g., ChatGPT) during anystage of the writing process or they could choose not to use them. If AI assistance was used,students were asked to include the following information in the Appendix of their reports: theprompt(s) used, and other details on how the AI-assisted content was incorporated or revised.This information was collected to ensure the accuracy of the report content and the authenticityof references.2.2 Instructor’s AssessmentA total of 48 draft reports (i.e., first submission) were evaluated for this study. Reports in whichstudents self-reported the Checklist were analyzed further for this study.3. Results and DiscussionAs mentioned earlier, the primary goal of this study was to evaluate the
course will help the instructor to developa solution for the future iteration.Future research direction include the following: • Further longitudinal studies tracking the impact of OBA on student performance across multiple years. • Comparing student outcomes in Architectural Engineering with other engineering disciplines to assess cross-disciplinary effectiveness. • Developing a digital grading system that provides real-time performance tracking.References1. N. S. Madonsela, "Aligning Education and Workforce Training with Industry Needs: A perspective of Human Capital Development," Proceedings of the First Australian International Conference on Industrial Engineering and Operations Management, Sydney, Australia, Dec. 20
industryleaders. As the program evolves, it will continue to empower students to explore their passions,develop critical skills, and envision a future where they can make a meaningful impact in theworld of STEM.References[1] A. Qasrawi, S. Langar and T. Sulbaran, "STEM Summer Camps in the US: Knowledge andContext," in 2023 ASEE Annual Conference & Exposition, 2023.[2] C. J. Cappelli, K. L. Boice and M. Alemdar, "Evaluating University-Based Summer STEMPrograms: Challenges, Successes, and Lessons Learned.," Journal of STEM Outreach, vol. 2, p.n1, 2019.[3] E. D. Broder, K. J. Fetrow, S. M. Murphy, J. L. Hoffman and R. M. Tinghitella, "STEMSummer Camp for Girls Positively Affects Self-Efficacy," The American Biology Teacher, vol.85, p. 432–439, 2023.[4
scalablemodel for improving STEM education and addressing disparities in graduation rates andworkforce representation.AcknowledgementThe author wishes to thank Dr. Kimberly LeChasseur, Senior Research and Evaluation Associateat the WPI Morgan Teaching & Learning Center, for administering the student survey andproviding valuable support in interpreting the response data. The author also gratefullyacknowledges the generous contributions of WPI alumni donors, whose financial support made itpossible to acquire the equipment and instrumentation used in this course.References[1] R. Ram, S. Fuller, A. Panwar, J. Schulamn, K. Young, M. Ellsworth, S. Sotudeh and H. Kaur, "Aerospace and Defense Workforce Study," Ernst & Young LLP, 2022.[2] J. Marcus
PlatformThe grading platform was tested on two sets of 50 assignments graded by the GPT-4 and Qwen.AI-generated grades were compared with the human-graded benchmarks. Figure 4 shows the meanscores and variability (mean ± standard deviation) for Labs 2 and 5, with human scores serving asthe reference for comparison. In Lab 2, the human reference mean was 16.89, with Qwen scoring16.07 and GPT-4 scoring 15.72. Qwen's score was closer to the human reference, indicating betterperformance than GPT-4 in this laboratory. In Lab 5, the human reference mean was 20.44, andQwen achieved a mean score of 22.67, whereas GPT-4 scores were 21.17. Although both LLMsscore higher than the human reference, GPT-4's score is closer, suggesting that it performs betterthan
With Disabilities: An Emergent Theoretical Model,” J. Coll. Stud. Dev., vol. 56, no. 7,pp. 670–686, 2015.[2] M. Legault, J.-N. Bourdon, and P. Poirier, “From neurodiversity to neurodivergence: therole of epistemic and cognitive marginalization,” Synthese, vol. 199, no. 5/6, pp. 12843–12868,Dec. 2021, doi: 10.1007/s11229-021-03356-5.[3] L. Clouder, M. Karakus, A. Cinotti, M. V. Ferreyra, G. A. Fierros, and P. Rojo,“Neurodiversity in higher education: a narrative synthesis,” High. Educ., vol. 80, no. 4, pp. 757–778, Oct. 2020, doi: 10.1007/s10734-020-00513-6.[4] S. K. Kapp, Ed., Autistic Community and the Neurodiversity Movement: Stories from theFrontline. Singapore: Springer, 2020. doi: 10.1007/978-981-13-8437-0.[5] L. G
institutions.AcknowledgmentThe authors gratefully acknowledge the leadership and financial support of the School ofEngineering at the Universidad Andres Bello, Chile.References[1] H. C. Chu, G. H. Hwang, Y. F. Tu, and K. H. Yang, “Roles and research trends of artificial intelligence in higher education: A systematic review of the top 50 most- cited articles,” Australasian Journal of Educational Technology, vol. 38, no. 3, pp. 22–42, 2022, doi: 10.14742/ajet.7526.[2] H. Crompton and D. Burke, “Artificial intelligence in higher education: the state of the field,” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, p. 22, 2023, doi: 10.1186/s41239-023-00392-8.[3] T. Pham, T. B. Nguyen, S. Ha, and N. T. Nguyen Ngoc
. Hinings, D. Logue, and C. Zietsma, “Fields, institutional infrastructure and gov- ernance,” The Sage handbook of organizational institutionalism, pp. 163–189, 2017. [5] E. Chenoweth, Civil resistance: What everyone needs to know®. Oxford University Press, 2021. [6] A. Reuel, B. Bucknall, S. Casper, T. Fist, L. Soder, O. Aarne, L. Hammond, L. Ibrahim, A. Chan, P. Wills et al., “Open problems in technical ai governance,” arXiv preprint arXiv:2407.14981, 2024. [7] R. Søraa, AI for diversity. CRC Press, 2023. [8] T. Gebru and É. P. Torres, “The tescreal bundle: Eugenics and the promise of utopia through artificial general intelligence,” First Monday, 2024. 6
Paper ID #47276BOARD # 412: NSF RIEF: Enhancing design thinking transfer among undergraduatebioengineering students: A Dynamic Role Identity ApproachJennifer Patten, Temple UniversityDr. Avi Kaplan Avi Kaplan is an Associate Professor of Educational Psychology at Temple University in Philadelphia, PA, USA. Dr. Kaplanˆa C™s research interests focus on student and teacher motivation, self-regulation, and identity development, with a particular interestDr. Ruth Ochia, Temple University Dr. Ruth S. Ochia is a Professor of Instruction with the Bioengineering Department, Temple University, Philadelphia, Pa. Her past research
marginalizedcommunities. Through our four-year collaboration, we have demonstrated how creative, hands-on activities incorporating art and design can expand young students' perceptions of engineeringand help them envision themselves as future engineers. By leveraging the enthusiasm andexpertise of university faculty, undergraduate mentors, and elementary school teachers, we havedeveloped sustainable programming that integrates into the elementary classroom while inspiringboth students and educators alike. Through this relationship, we have documented key pragmaticlessons to help bring two educational communities together.References1. A. Master, S. Cheryan, A. Moscatelli, & A. N. Meltzoff, “Programming experience promotes higher stem motivation among
, "A literature review on immersive virtual reality in education,"eLearning and Software for Education, vol. 1, pp. 133–141, 2015.[4] C. T. Fosnot, Constructivism: Theory, Perspectives, and Practice, 2nd ed. New York, NY,USA: Teachers College Press, 2013.[5] M. Schcolnik, S. Kol, and J. Abarbanel, "Constructivism in theory and in practice," EnglishTeaching Forum, vol. 44, no. 4, pp. 12–20, 2006.[6] M. P. Driscoll, Psychology of Learning for Instruction, 2nd ed. Boston, MA, USA: Allyn &Bacon, 2000.[7] M. Langley, D. W. Carruth, and M. Denny, "Virtual reality training improves real-world taskperformance in physical therapy and rehabilitation," IEEE Trans. Neural Syst. Rehabil. Eng., vol.24, no. 9, pp. 1041–1050, 2016.[8] G. Martin, J. Clarke
confidence developed during the first year and theongoing support offered by the program. Tracking future retention and graduation rates of thestudents in this study is planned, which will provide additional insights into the long-termoutcomes of SSP participants. Further research is needed to isolate and evaluate the specificeffects of SI on performance in first math and engineering courses, as well as its contribution tooverall academic success and persistence.Acknowledgement of Support and DisclaimerThis material is based upon work supported by the National Science Foundation under Grant No.2221638.Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the
theory, these facets are a set of distinct elements, characteristics, and attributesthat classify the construct(s) of interest [24], [26]. In this work, we identified and defined fourfacets that represent empathy in combined domains of self vs. other orientation and affective vs.cognitive orientation [14], [18]. Each facet is illustrated by a quadrant in Figure A1 in theappendix and includes empathic distress/pleasure, empathic concern/joy, imagine-selfperspective taking (ISPT), and imagine-other perspective taking (IOPT).Step 3: Determine facet levels and generate descriptionsThe third step is to delineate structs, or gradations, to represent low to high ranges within eachfacet. Derive from Guttman Facet theory, these structs represent