Paper ID #41175The Effects of Length of Participation on Student Mental Health, ProfessionalIdentity, and Perceptions of Inclusion in Project-Based Engineering ProgramsDr. Lin Chase, Minnesota State University, Mankato Lin Chase is an experienced executive with an extensive track record in the successful application of artificial intelligence technologies in complex business environments. She has spent thirty years developing emerging software and telecommunications technologies in the commercial world. Lin earned a B.S. in Physics and an M.S. and Ph.D. in Robotics at Carnegie Mellon University. She was then awarded the
Paper ID #42439Board 73: AI Skills-based Assessment Tool for Identifying Partial and Full-Masterywithin Large Engineering ClassroomsMr. Amirreza Mehrabi, Purdue University I am Amirreza Mehrabi, a Ph.D. student in Engineering Education at Purdue University, West Lafayette. Now I am working in computer adaptive testing (CAT) enhancement with AI and analyzing big data with machine learning (ML) under Prof. J. W. Morphew at the ENE department. My master’s was in engineering education at UNESCO chair on Engineering Education at the University of Tehran. I pursue Human adaptation to technology and modeling human behavior(with
they educate.In engineering education, scholars have increasingly called for educators to center the criticalrole engineers will play in addressing sustainability problems [8], and many scholars argue thatsustainability learning is particularly important for engineers. For example, noting that“engineers play a key role in the development of infrastructure, bringing products and services tomarket, developing information and communications technologies, and the development of newtechnologies in science and medicine,” Kerr [9] argued that the application of sustainabilityprinciples and practices is particularly important for future engineers and is thus a critical need inengineering education.The purpose of this research is to examine the types
in engineering [2].ChatGPT, developed by Open AI and launched in November 2022 [3], is one of the most popularand accessible LLM chatbots on the market today. ChatGPT in its current state is particularlygood at providing context-based answers to questions, writing, editing, and coding [4], [5].However, some of its limitations include potential bias in its training data, a lack of up-to-dateknowledge, and generating made-up or “hallucinated” information including source citations [6].Due to the accessibility and usefulness of GenAI products, engineering students need to acquireliteracy in AI technology, which includes (a) understanding basic functions of AI, (b) using andapplying AI in a variety of contexts, (c) evaluating and creating AI
as Research Engineer at Korea Electronics Technology Institute (KETI) from 1993 to 1997. He received the NSF CAREER award in 2004 and was given the WCU (World Class University) Visiting Professorship under the Ministry of Education, Science and Technology, Korea in 2009. He is currently leading the NSF-supported HSI Implementation and Evaluation Project: Enhancing Student Success in Engineering Curriculum through Active e-Learning and High Impact Teaching Practices (ESSEnCe).Michelle Taub, University of Central Florida Michelle Taub, Ph.D., is an Assistant Professor of Learning Sciences and Educational Research and Core Faculty of the Faculty Cluster Initiative’s Learning Sciences Cluster at the University of
Paper ID #43369A Novel Research Design: Using Multilevel Discrete-Time Survival Analysisto Investigate the Effect of Calculus I on Engineering Student PersistenceHayaam Osman, Purdue University Hayaam Osman is a Ph.D. candidate in Engineering Education at Purdue University. She earned her M.S. in Electrical and Computer Engineering Technology from Purdue University and her Bachelor’s degree in Electrical Engineering from United Arab Emirates University. Hayaam’s research focuses on investigating student success in Engineering programs, employing quantitative methods. She utilizes multi-institutional datasets to explore
Paper ID #39008Design thinking in collaboration with students to identify and addresslearning challenges in two science and engineering coursesDr. Andrea Hemmerich, McMaster University Dr. Andrea Hemmerich is an Adjunct Assistant Professor in the W Booth School of Engineering Prac- tice and Technology at McMaster University where she teaches graduate courses in Design Thinking and conducts research in engineering education. She is also an Adjunct Assistant Professor in the Faculty of Engineering at Queen’s University and continues to collaborate on investigations into the benefits of upright maternal positioning in
. His current research interests are focused in educational innovation and educational technologies. ©American Society for Engineering Education, 2023 Impact of the flipped classroom methodology on the development of argumentative skills and academic performance of engineering studentsAbstractAt the Tecnologico de Monterrey, we face two great challenges: working under a new student-centered educational model, which focuses on the development of skills and competencies; andon the other hand, the return to face-to-face learning after preventive isolation to which we weresubjected due to the Covid-19 contingency. In the classrooms we observed problems in theteaching-learning process such as lack of
Annual Conference, 2016.[4] S. L. Rodriguez, C. Lu, and M. Bartlett, "Engineering Identity Development: A Review of Higher Education Literature,"International journal of education in mathematics, science and technology, vol. 6, no. 3, p. 254, 2018, doi:10.18404/ijemst.428182.[5] L. Perez-Felkner, C. Shore, T. Dickens, and M. D. Yang, "Engineering Resilience through Research Mentorship:Manufacturing Pathways to Careers," in American Society for Engineering Education, Virtual On-line, 2020: Papers onEngineering Education Repository (PEER), pp. 1-15, doi: 10.18260/1-2--34557. [Online]. Available: https://peer.asee.org/34557[6] A. O. Hinton et al., "Patching the Leaks: Revitalizing and Reimagining the STEM Pipeline," Cell, vol. 183
. A global engineer and researcher, Tahsin is an advocate and ally for better inclusion in STEM and beyond.Dr. Dayoung Kim, Virginia Polytechnic Institute and State University Dayoung Kim is an Assistant Professor in the Department of Engineering Education at Virginia Tech. She is broadly interested in engineering practice (e.g., practices and experiences of engineers in various employment settings, such as business organizations), engineering ethics (e.g., social responsibility of engineering professionals), and related policy concerns. Through her research, she aims to identify how best to support innovative and ethical practice of engineers in business settings through education and science & technology
engineering courses also has a positive effect on students’ spatial ability[17]. Beyond academia, spatial ability has also been linked to success in professional STEMfields [18].Spatial skills are malleable meaning that they can be taught and enhanced through targetedinterventions [19]. Such interventions that can be integrated into academic coursework includeactivities in engineering design, technological literacy, scientific inquiry, and mathematicalthinking [20]. The format of spatial interventions ranges from the implementation of entirecourses [21], [22] to physical manipulatives intended to teach specific concepts. Furthermore,once learned, spatial skills can be maintained over time [19].In order to effectively measure gains in spatial ability
] Santiago, L. & Hensel, R., “Engineering attrition and university retention,” ASEE Annual Conference & Exposition, 2012, pp. 25-538.[4] Moor, S., “Engaging Spaces For First Year Engineering: A Tale Of Two Classrooms,” ASEE Annual Conference & Exposition, 2010, pp. 15-47.[5] Concannon, J. & Barrow, L., “A cross-sectional study of engineering students’ self-efficacy by gender, ethnicity, year, and transfer status” Journal of Science Education and Technology, 18, 2009, pp 163-172.[6] Hutchison, M., Follman, D., Sumpter, M., & Bodner, G., “Factors influencing the self‐efficacy beliefs of first‐year engineering students,” Journal of Engineering Education, 95(1), 2006, pp. 39-447.[7
currently an assistant professor at Purdue University in Engineering Education and Morphew is affiliated with the INSPIRE research institute for Pre-College Engineering and the Center for Advancing the Teaching and Learning of STEM. Dr. Morphew’s research focuses on the application of principles of learning derived from cognitive science and the learning sciences to the design and evaluation of learning environments and technologies that enhance learning, interest, and engagement in STEM.Li Tan, Arizona State University Li Tan is an Assistant Professor of Engineering Education Systems and Design in the Polytechnic School at Arizona State University. ©American Society for Engineering Education
team disagreements in the formation of engineering identity among diverse students.Dr. Xiaorong Zhang, San Francisco State University Xiaorong Zhang received the B.S. degree in computer science from Huazhong University of Science and Technology, China, in 2006, the M.S. and the Ph.D. degrees in computer engineering from University of Rhode Island, Kingston, in 2009 and 2013 respectivelAna Karen BivianoDr. Yiyi Wang, San Francisco State University Yiyi Wang is an assistant professor of civil engineering at San Francisco State University. In addition to engineering education, her research also focuses on the nexus between mapping, information technology, and transportation and has published in Accident Analysis &
. Building on the conceptual framework that hands-on learning mayenhance cognitive engagement, we examined how the type of instructional approach —specifically, a hands-on method versus a traditional control approach — influences students'ICAP scores. The ICAP framework suggests that deeper cognitive engagement throughinteractive and active activities leads to more effective learning outcomes. Furthermore, weassessed the impact of educational technology by investigating the effects of different Low-CostDesktop Learning Modules (LCDLMs) on students' post-test scores. These modules represent anintersection of affordability and practicality in educational tools, yet their influence on learningEnhancing Engineering Educationretention and comprehension
, University of Nebraska Lincoln Yashin Brijmohan is a registered professional engineer who is currently appointed as Chairman of Engi- neering Education Standing Technical Committee of the Federation of African Engineering Organizations, Executive committee member of the Commonwealth Engineers Council, Board Member of the UNESCO International Centre for Engineering Education, and Co-Chair of the Africa Asia Pacific Engineering Council. He was the founding Executve Dean of Business, Engineering and Technology at Monash South Africa, former Vice President of the World Federation of Engineering Organizations, and led several committees in the engineering profession. Yashin has both leadership and specialist experience
areflective practice that could lead to more effective teaching and mentoring. From a research point of view, we areworking on carrying out more interviews, transcribing, and coding them to get a better sense of what the revisedmentoring process should encompass.References[1] R. J. Burke, “Women and minorities in STEM: a primer,” in Women and Minorities in Science, Technology, Engineering, and Mathematics: Upping the Numbers, R. J. Burke and M. C. Maitis, Eds., Northampton, MA, USA: Edward Elgar Pub., Inc., 2007, pp. 3-27.[2] G. Lichtenstein, H. L. Chen, K. A. Smith, and T. A. Maldonado, “Retention and persistence of women and minorities along the engineering pathway in the United States” in Cambridge Handbook of Engineering
Technology and Society Magazine, 20(4), 13-20. https://doi.org/10.1109/44.974503Kuhn, T. S. (1962). The structure of scientific revolutions. University of Chicago Press.LaPatin, M., Roy, A., Poleacovschi, C., Padgett-Walsh, K., Feinstein, S., Rutherford, C., Nguyen, L., & Faust, K. M. (2023). Measuring ethical development of engineering students across universities and class years. International Journal of Ethics Education, 8, 49-65. https://doi.org/10.1007/s40889-022-00150-wLesage, J., Brennan, R., Eaton, S. E., Moya, B., McDermott, B., Wiens, J., & Herrero, K. (2024). Exploring natural language processing in mechanical engineering education: Implications for academic integrity. International Journal of
, “Exploring moments of agency for girls during an engineering activity,” International Journal of Education in Mathematics, Science and Technology, vol. 6, no. 3, pp. 302–319, 2018, doi: 10.18404/ijemst.428200.[9] A. M. Calabrese Barton, K. Schenkel, and E. Tan, “The ingenuity of everyday practice: A framework for justice-centered identity work in engineering in the middle grades,” Journal of Pre-College Engineering Education Research (J-PEER), vol. 11, no. 1, May 2021, doi: 10.7771/2157-9288.1278.[10] National Academies of Sciences, Engineering, and Medicine, How people learn II: Learners, contexts, and cultures. Washington, DC: National Academies Press, 2018. doi: 10.17226/24783.[11] S. A. Pattison, S. Ramos Montañez, G
educational technology. 1998;29(3):225–40.16. Cook-Sather A. Returning to the mirror: reflections on promoting constructivism in three educational contexts. Cambridge Journal of Education. 2008;38(2):231–45.17. Wu Y, Ming Z, Allen JK, Mistree F. Evaluation of Students’ Learning Through Reflection on Doing Based on Sentiment Analysis. Journal of Mechanical Design. 2023;145(3).18. Helyer R. Learning through reflection: the critical role of reflection in work-based learning (WBL). Journal of Work-Applied Management. 2015 Oct 6;7(1):15–27.19. Safoutin MJ. A methodology for empirical measurement of iteration in engineering design processes. University of Washington; 2003.20. Lewis P, Aldridge D, Swamidass PM. Assessing
Paper ID #41428Work in Progress: Design and Preliminary Results of a Survey to ExploreRelationships Between Faculty Mentoring, Engineering Doctoral Student PsychologicalSafety, and Work OutcomesDorian Bobbett, University of Michigan Dorian is a 1st-year Engineering Education Research Ph.D. student at the University of Michigan. She received her B.S. in Chemical Engineering from the University of Nebraska-Lincoln in May 2023. Dorian currently works with Dr. Karin Jensen at the University of Michigan on projects related to mental-health and well being and mentoring at the graduate student level. She was previously involved in
verbal explanations of learning activities. Students' learning outcomes are mainlymeasured by exam performance. Students' perceptions were studied through both quantitativeLikert-scale questions and free-response to open-ended questions. 1. IntroductionIn the history of Science, technology, engineering, and mathematics (STEM) education, one ofthe foundations for evidence-based pedagogy were models that derived from informationprocessing theory [1]-[2]. Although this theory had proposed active cognitive processes inmemory consolidation (e.g., elaborative rehearsal [1], central executive [2]) along with themultiple modules of memory (e.g., sensory memory, long-term memory), its implementation inclassroom settings often resulted in emphasis in
Paper ID #43880Evaluation of LLMs and Other Machine Learning Methods in the Analysis ofQualitative Survey Responses for Accessible Engineering Education ResearchXiuhao Ding, University of Illinois at Urbana - ChampaignMeghana Gopannagari, University of Illinois at Urbana - ChampaignKang Sun, University of Illinois at Urbana - ChampaignAlan Tao, University of Illinois at Urbana - ChampaignDelu Louis ZhaoSujit Varadhan, University of Illinois at Urbana - Champaign Sujit Varadhan is a Junior at the University of Illinois at Urbana-Champaign majoring in Computer Science. He is an undergraduate research assistant as well as a frontend
Paper ID #41180Exploring the Evolution of Engineering Doctoral Students’ Academic andCareer Goals in the First Year of Graduate SchoolGabriella M. Sallai, Pennsylvania State University Gaby Sallai is currently a graduate student in the Mechanical Engineering department at Penn State. She is working under Dr. Catherine Berdanier in the Engineering Cognitive Research Laboratory (ECRL) studying the experiences of engineering graduate students. She received her Bachelor’s degree from Franklin & Marshall College in Physics and Women & Gender Studies.Catherine G. P. Berdanier, Pennsylvania State University Catherine
writing and communication; and methodological development.Dr. Julio Urbina, Pennsylvania State University JULIO V. URBINA, Ph.D. is a Professor in the School of Electrical Engineering and Computer Science at The Pennsylvania State University. Dr. Julio Urbina received his BSEE degree from Universidad Nacional de Ingenieria, Lima, Peru, in 1990, and his M.S. and Ph.D. degrees in electrical engineering from the University of Illinois at Urbana–Champaign in 1996 and 2002, respectively. He has worked at Jicamarca Radio Observatory, Arecibo Observatory, and University of Arkansas. Dr. Urbina’s research has used radio and radar technologies to study the Earth’s middle and upper atmosphere. He conducts research in RF and
through engineering. Dr. McAlister has a PhD in Education and a MS in Systems Engineering from the University of Virginia. She has a BS in Chemical Engineering from The Ohio State University.Courtney BurrisMs. Jada Vanessa Mowatt, Department of Chemical and Biological Engineering, University at Buffalo, TheState University of New York Jada Mowatt is a PhD student in the Department of Chemical and Biological Engineering at the University at Buffalo. Her research focuses on PFAS’ (”forever chemicals”) adsorption in the environment and remediation strategies. She also has interests in promoting diversity, equity, and inclusion in science, technology, engineering, and math (STEM) fields. ©American
andtechnology engineers use and how engineers use tools and technology?RQ3: How does changing camp delivery mechanisms based on year 1 data affect students in year2?theoretical and implementation frameworkThe DSMRI is a theoretical framework that explains how an individual’s roles and identities areinterconnected and can influence their behavior and cognition. The DSMRI has been utilized tomeasure change in identity formation during informal learning experiences [12,13] The DSMRIconsists of 5 components: emotions, ontological and epistemological beliefs, purpose and goals,self-perceptions and definitions, and perceived action possibilities that comprise role identity (e.g.trying on the role of an engineer). Kaplan et al. proposed an identity systems
. 8 no. 3&4, 2007[6] S. Ahmed, K. M. Wallace, and L. T. Blessing, “Understanding the differences between how novice and experienced designers approach design tasks,” Research in Engineering Design, vol. 14 no. 1, pp. 1-11, 2003, https://doi.org/10.1007/s00163-002-0023-z[7] D. P. Crismond and R. S. Adams, “The Informed Design Teaching and Learning Matrix,” Journal of Engineering Education, vol. 101, no. 4, pp. 738-797, 2012.[8] S. D. Sheppard, et. al., “Knowing To” in Educating Engineers: Designing for the future of the field, Carnegie Foundation for the Advancement of Teaching, pp. 99-107, 2008.[9] E. A. Cech, “Culture of Disengagement in Engineering Education?,” Science, Technology, & Human
Paper ID #42857Assessing Design Thinking Mindset: Using Factor Analysis to ReexamineInstrument ValidityDr. Andrew Jackson, University of Georgia Andrew Jackson is an Assistant Professor of Workforce Education at the University of Georgia. His teaching and research interests are to support design-based learning and teaching in technology and engineering contexts. His past work has bridged cutting-edge soft robotics research to develop and evaluate novel design experiences in K-12 education, followed students’ self-regulation and trajectories while designing, and produced new instruments for assessing design decision-making
mention all or most of the fiveepistemic frame elements (Knowledge, Skills, Identity, Values, and Epistemology), that theseframe elements co-occur with enough frequency to create epistemic networks, and that theseepistemic networks align with the student writing and provide insight on how students areintegrating their learning.References[1] L. A. Perry and J. S. London, ‘The Transfer of Learning Between School and Work: A New Stance in the Debate About Engineering Graduates’ Preparedness for Career Success Abstract’, in 2021 ASEE Virtual Annual Conference Content Access, 2021.[2] F. Kjærsdam, ‘Technology transfer in a globalised world: transferring between university and industry through cooperation and education’, World