Paper ID #48551BOARD # 389: Leveraging ACCESS for Student Success: An NSF-SponsoredInitiative to Support Low-Income, Academically Talented Engineering TechnologyStudentsDr. Brenton K Wilburn, Pennsylvania Western University (formerly California University of Pennsylvania) Dr. Brenton Wilburn is an Associate Professor in the Department of Computing and Engineering Technology at PennWest California. With a Ph.D. in Mechanical Engineering from West Virginia University and ten years of teaching experience, Dr. Wilburn teaches courses in Machine Design, Properties and Strength of Materials, Fluid Power, Statics, Manufacturing
. 48–54, Mar. 2014, doi: 10.2505/4/jcst14_043_04_48.[5] G. D. Saenz, L. Geraci, and R. Tirso, “Improving metacognition: A comparison of interventions,” Applied Cognitive Psychology, vol. 33, no. 5, pp. 918–929, Sep. 2019, doi: 10.1002/acp.3556.[6] “Analyze Exam Errors - University of Guelph Mclaughlin Library.” [Online]. Available: https://guides.lib.uoguelph.ca/c.php?g=697429&p=5011754[7] K. VanLehn, S. Siler, C. Murray, T. Yamauchi, and W. B. Baggett, “Why Do Only Some Events Cause Learning During Human Tutoring?,” Cognition and Instruction, vol. 21, no. 3, pp. 209–249, Sep. 2003, doi: 10.1207/S1532690XCI2103_01.
measurements which then informefforts to improve processes and operations. From the basic assumption that quality is definable,measurable, and can be improved, CQM systems incorporate a series of other hypotheses andassumptions [40] and which are subtly instantiated into educational systems that follow thismodel: a) CQM systems are based on top-down management which then involve all employees in pursuit of quality; changes come from top-down to create an environment for quality. b) Production is accomplished through processes, processes have variation, and excessive variation leads to wastage and rework. CQM systems prioritize adherence to standards. Models based upon ‘conformance to requirements’ in turn imply that the
56.8The following are select responses from our university faculty mentors and students: a. Excellent idea in theory. There is certainly potential somewhere for this, but it is logistically very challenging and very risky in a senior capstone project. b. International Cooperation can be very difficult when it comes to scheduling, budgeting, and deciding where physical supplies are going to go. c. Set clear plans and logistics with the international colleges before starting the collaboration and d. There needs to be a true leader from either student team (preferably one on each) who is willing to take charge and overcome the communication challenges.Whereas the survey was sent to George Mason students at the end of fall
responsibility and empathy in future engineers.References[1] B. Reynante, “Learning to design for social justice in community-engaged engineering,” J. Eng. Educ., vol. 111, no. 2, pp. 338–356, 2022, doi: 10.1002/jee.20444.[2] F. Bilow and J. DeWaters, “Using Thematic Analysis to Characterize the Connection Between Sociotechnical Engineering Courses and Students’ Sense of Belonging and Engineering Identity,” Piscataway: IEEE, 2023, pp. 1–9. doi: 10.1109/FIE58773.2023.10342901.[3] A. Mazzurco and S. Daniel, “Socio‐technical thinking of students and practitioners in the context of humanitarian engineering,” J. Eng. Educ. Wash. DC, vol. 109, no. 2, pp. 243– 261, 2020, doi: 10.1002/jee.20307.[4] E. A. Mosyjowski, J. E. von
. (2011). Place-based education: Making the case for an investigation of historical precedents. Curriculum History, 1, 1-15. 15.Collins, M. A., Totino, J., Hartry, A., Romero, V. F., Pedroso, R., & Nava, R. (2020). Service-learning as a lever to support STEM engagement for underrepresented youth. Journal of Experiential Education, 43(1), 55-70. https://doi.org/10.1177/105382591988740716.Young, J. L., Young, J. R., & Ford, D. Y. (2019). Culturally relevant STEM out-of-school time: A rationale to support gifted girls of color. Roeper Review, 41(1), 8-19. https://doi.org/10.1080/02783193.2018.155321517.Gray, D. L., McElveen, T. L., Green, B. P., & Bryant, L. H. (2020). Engaging Black and Latinx
," Qualitative Research in Psychology, vol. 16, no. 2, pp. 305–324, 2019.[15] J. P. Carpenter, "Weaving students into engineering, not weeding them out," presented at the 2023 Collaborative Network for Computing and Engineering Diversity (CoNECD), New Orleans, LA, Feb. 2023.[16] A. Godwin, H. Perkins, L. DeAngelo, E. McChesney, K. Kaufman-Ortiz, G. Dorvé-Lewis, and B. Conrique, "Belonging in engineering for Black, Latinx, and Indigenous students: Promising results from an educational intervention in an introductory programming course," IEEE Trans. Educ., vol. 67, no. 1, pp. 56–64, 2023.[17] T. Gilbert, "Listening harder for the student voice," UCL Centre for Teaching and Learning, Dec. 11, 2023. [Online]. Available: https
Journal of Engineering Education, vol. 29, no. 2, pp. 1-28, 2024, doi: 10.1080/22054952.2024.2372154.[3] R. P. Uhlig, S. Jawad, B. Sinha, P. P. Dey, and M. N. Amin, "Student use of artificial intelligence to write technical engineering papers – Cheating or a tool to augment learning," presented at the 2023 American Society for Engineering Education (ASEE) Annual Conference & Exposition, Baltimore, MD, Jun 25-28, 2023. [Online]. Available: https://peer.asee.org/44330.[4] M. Bearman, J. Tai, P. Dawson, D. Boud, and R. Ajjawi, "Developing evaluative judgement for a time of generative artificial intelligence," Assessment & Evaluation in Higher Education, vol. 49, no. 6, pp. 893-905, 2024, doi
Junior 36% Male 34% 64% Senior 61% Female Male Sophomore Junior Senior (a) (b) 40.0
, VentureWell, 2024.16. J. Omotade, J. King, and R. A. Kahn, "Imposter syndrome and diversity graduate students," Minority Affairs, vol. 16, no. 2, pp. 22-24, 2017.17. H. E. Tajfel, Differentiation between social groups: Studies in the social psychology of intergroup relations, Academic Press, 1978.18. H. Tajfel and J. C. Turner, "An Integrative Theory of Intergroup Conflict," in The Social Psychology of Intergroup Relations, W. G. Austin and S. Worchel, Eds., pp. 33-37, Monterey, CA: Brooks/Cole, 1979.19. H. Thiry, T. J. Weston, S. L. Laursen, and A. B. Hunter, "The benefits of multi-year research experiences: Differences in novice and experienced students’ reported gains from undergraduate research," CBE—Life Sciences
Paper ID #48016PEER HELPER (Peer Engagement for Effective Reflection, Holistic EngineeringLearning, Planning, and Encouraging Reflection) Automated Discourse AnalysisFrameworkyilin zhang, University of FloridaDr. Bruce F. Carroll, University of Florida Dr. Carroll is an Associate Professor of Mechanical and Aerospace Engineering at the University of Florida. He holds an affiliate appointment in Engineering Education. His research interests include engineering identity, self-efficacy, and matriculation of Latine/x/a/o students to graduate school. He works with survey methods and overlaps with machine learning using
Paper ID #47122Shaping Spatial Minds: How School Type, Physics Achievement, and StudentMotivation Influence Spatial ReasoningTaiwo Raphael Feyijimi, University of Georgia Taiwo is a highly skilled AI Engineer, Researcher, and Doctoral Student at the University of Georgia who completed his MS in Electrical and Computer Engineering in the College of Engineering. He is currently leveraging AI to tackle simple and longstanding problems in engineering education. With over a decade of industry experience as a Technology Strategist and Technical Lead, he has established himself as a forward-thinking innovator in AI and EdTech
. https://www.wgu.edu/about/annual-report.html[10] “Distance/Online Students | College of Engineering & Mines,” Und.edu, 2025.https://engineering.und.edu/current-students/distance[11] N. E. Rupprecht, D. B. Sleeman, and T. F. Kurtzberg, “Designing and implementing a fullyremote capstone project during the COVID-19 pandemic,” in Proc. 2020 ASEE Virtual AnnualConf., Jun. 2020, pp. 1–13.[12] F. Znidi, M. N. Uddin, and M. Morsy, “Evolving engineering education: online vs. in-person capstone projects compared (EEE-OIPC),” Frontiers in Education, vol. 9, p. 1403781,Apr. 2024. doi: 10.3389/feduc.2024.1403781.[13] S. W. Howe and L. S. Goldberg, “Engineering Capstone Design Education: CurrentPractices, Emerging Trends, and Successful Strategies,” in
challenges in education: Computational and ethical perspectives," Education Sciences, vol. 14, pp. 814, 2024.[15] B. Memarian and T. Doleck, "Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI), and higher education: A systematic review," Computers and Education: Artificial Intelligence, pp. 100152, 2023.[16] O. Bulut, M. Beiting-Parrish, J.M. Casabianca, S.C. Slater, H. Jiao, D. Song, C.M. Ormerod, D.G. Fabiyi, R. Ivan and C. Walsh, "The rise of artificial intelligence in educational measurement: Opportunities and ethical challenges," arXiv Preprint arXiv:2406.18900, 2024.[17] S. Grassini, "Development and validation of the AI attitude scale (AIAS-4): a brief measure of general attitude
non-normative solutions leading to positive change.Finally, we reacknowledge that the privileged/afflicted binary allows room for a more nuancedunderstanding of interpersonal dynamics with intersectional identities. We encourage furtherdiscourse and research on this topic.Citations[1] B. Mitchneck, J. L. Smith, and M. Latimer, “A recipe for change: Creating a more inclusive academy,” Science, vol. 352, no. 6282, pp. 148–149, Apr. 2016, doi: 10.1126/science.aad8493.[2] “Opening Doors: How Selective Colleges and Universities Are Expanding Access for High-Achieving, Low-Income Students - Jack Kent Cooke Foundation.” Accessed: Dec. 17, 2024
NACA 4412 and 4421 produce lift more efficiently at lowerangles. Thickness also varies, with the NACA 4421 being the thickest at 21%, offering superiorstructural strength but slightly higher drag. In contrast, the NACA 65-210 is optimized forlaminar flow, reducing drag and enhancing efficiency in high-speed conditions. Thesedifferences determine their suitability for various wind turbine designs, from low-speed, high-liftapplications to high-speed, low-drag configurations.RhinocerosRhinoceros, or Rhino, is a versatile 3D modeling software developed by Robert McNeel &Associates, widely used across engineering, architecture, and design industries. Specializing inNon-Uniform Rational B-Splines (NURBS) geometry, Rhino excels at modeling
Paper ID #46613Overseas Team Building for Student Leaders in Academic MakerspacesDr. Chun Kit Chui, University of Hong Kong Dr. Chun Kit Chui serves as the Director of the Tam Wing Fan Innovation Wing in the Faculty of Engineering at the University of Hong Kong (HKU). The Innovation Wing aims to unleash students’ creativity by entrusting them to spearhead ambitious innovation and technology projects that will shape the future. This iconic facility is situated at the heart of the campus, offering 2400m2 of space with state-of-the-art resources and a supportive environment to enhance hands-on and experiential learning for
dialogue is critical to fosteringmutual understanding and respect, ensuring that the rights and contributions of artists aresafeguarded in an era of rapid technological advancement.Through this collaborative effort, we aim to inspire the development of ethical frameworks andbest practices in AI, centering the needs and concerns of artists in future innovations. Byprioritizing fairness, transparency, and accountability, this project contributes to a vision of AIdevelopment that respects human creativity and actively enhances and supports it, paving theway for a more inclusive and artist-centered technological landscape.references[1] B. Thompson, M. Atkinson, A. Whalen, and S. Kirby, “Complex cognitive algorithms preserved by selectivesocial
. Cummins, T. Yamashita, R. J. Millar, and S. Sahoo. Problem-solving skills of the US workforce and preparedness for job automation, Adult Learning, 2019, vol. 30 no. 3, pp. 111-120.[21] B. A. Nagda, S. R. Gregerman, J. Jonides, W. von Hippel, and J. Lerner. Undergraduate student faculty research partnerships affect student retention, Review of Higher Education, 1998, vol. 22, no. 1, pp. 55–72.[22] C. J. Ward, K. Ohde, J. S. Rose, C. Critchlow, J. Park, and A. L. Vaughan. First-Year Seminars: Supporting STEM College Student Academic Success and Persistence, Journal of The First-Year Experience & Students in Transition, 2020, Vol. 32, no. 2, pp. 45-58.[23] P. Dyjur and G. Lindstrom. Perceptions and Uses of Digital Badges
Paper ID #46439Beyond the Binary: Interdisciplinary Approaches to Trans ContextsCole Thompson, Purdue University at West Lafayette (COE) Cole is currently a PhD student at Purdue University in the School of Engineering Education. Their research interests include assessing the education experiences of nonbinary students and the intricacies of nonbinary and engineering identity.Stephanie Masta, Purdue University at West Lafayette (PPI) Member of the Sault Ste Marie Tribe of Chippewa Indians and educational researcher focused on issues of equity in Black and Brown education in the United States
. Zaghi, "Evaluating the capability of large language models to personalize science texts for diverse middle-school-age learners," [arXiv Pre-print], 2024, doi: 10.48550/arXiv.2408.05204.[23] S. Filippi and B. Motyl, "Large Language Models (LLMs) in Engineering Education: A Systematic Review and Suggestions for Practical Adoption," Information, vol. 15, no. 6, p. 345, 2024, doi: 10.3390/info15060345.[24] M. Menekse, "Envisioning the future of learning and teaching engineering in the artificial intelligence era: Opportunities and challenges," The Research Journal for Engineering Education, vol. 112, no. 3, pp. 578-582, 2023, doi: 10.1002/jee.20539.[25] J. Qadir, "Engineering Education in the Era of ChatGPT: Promise and
, and how to most effectively reach out to and engage with them, b) identify specific questions we should ask stakeholders, including to capture contextualized needs, concerns, and future outlooks that will assist in guiding ethics- related learning and training goals, content, pedagogy, assessment, etc., and c) identify specific opportunities for future “ethics R&D” efforts that may be worthy of further exploration.To help prepare for the event and seed initial lines of discussion, a survey was developed by theleadership team and deployed to all invitees. More detailed information about our approach tosurvey data collection and analysis is presented below, followed by a summary of the findings.The HEEE event itself
. Minichiello, R. Welch, J. Dahlberg, D. Feinauer, B. Crawford, S. Shaw, “Faculty and Staff Perceptions of Student Veterans Pursuing a Degree in Engineering,” Proceedings of the 2024 ASEE Annual Conference on Engineering Education, Portland, OR, June 23-26, 2024.[10] D.J. Edelman, “2016 veterans well-being survey,” Daniel J. Edelman Holdings, Inc., Jul. 2016. [Online]. Available: https://www.slideshare.net/slideshow/2016-veterans-wellbeing- survey/63810675[11] K. Haun, “A qualitative study on how the utilization of the veterans resource center impacts long-term student veteran success,” California State Polytechnic University - Pomona, Pomona, CA, USA, 2021. [Online]. Available: https
: https://doi.org/10.1038/s41467-021-23898-z.[6] C. J. Yeh, S. Stanley, C. A. Ramirez, and N. E. Borrero, “Navigating the ‘Dual Pandemics’: The Cumulative Impact of the COVID-19 Pandemic and Rise in Awareness of Racial Injustices among High School Students of Color in Urban Schools,” Urban Education, p. 004208592210978, Apr. 2022, doi: https://doi.org/10.1177/00420859221097884.[7] Cochran, G. L., Troncone, B., Evangelista, B. R., Vera, P. J. C., Tajudeen, G. O., Mosley, N., ... and C. Ptak, “Understanding the Impact of Inequity on Student Learning Experiences During a Time of Multiple Crises,” In 2021 ASEE Virtual Annual Conference Content Access, Jul. 2021.[8] B. Hartsell, “Teaching Toward
Experimentation in the Engineering Ethics Classroom,” Sci. Eng. Ethics, vol. 21, no. 6, pp. 1637–1656, 2015.[3] R. W. Berne and J. Schummer, “Teaching societal and ethical implications of nanotechnology to engineering students through science fiction,” Bull. Sci. Technol. Soc., vol. 25, no. 6, pp. 459–468, 2005.[4] E. McQueeney, “Making ethics come alive,” Business Communication Quarterly, vol. 69, no. 2. pp. 158–171, 2006.[5] J. P. Johnston, “Value Added : A Communications Assignment That Develops Ethical Perception,” Bus. Commun. Q., vol. 61, pp. 121–123, 1995.[6] B. J. Brummel, C. K. Gunsalus, K. L. Anderson, and M. C. Loui, “Development of Role- Play Scenarios for Teaching Responsible Conduct of Research,” Sci
Interdisciplinary Science Course for Non-Science Majors.," Journal of General Education, vol. 51, no. 4, pp. 272- 281, 2002.[3] J. L. Abrantes, C. Seabra and L. F. Lages, "Pedagogical affect, student interest, and learning performance," Journal of Business Research, vol. 60, no. 9, pp. 960-964, 2007.[4] J. Harackiewicz, J. Smith and S. Priniski, "Interest Matters: The Importance of Promoting Interest in Education," Policy Insights from the Behavioral and Brain Sciences, vol. 3, no. 2, 2016.[5] D. B. Thoman, E. R. Brown, A. Z. Mason, A. G. Harmsen and J. L. Smith, "The Role of Altruistic Values in Motivating Underrepresented Minority Students for Biomedicine," BioScience, vol. 65, no. 2, pp. 183-188, 2014.[6] K. Sauer, "The Impact of
building strong support systems within the organization toprevent b urnout. A Call to ActionReiterate the importance of rest, engagement, and intentional leadership.Invite administrators to commit to these practices for the benefit of their programs andpersonal we ll-being.CoNECD Presentation 2025 Acker Coley Johnson Sims Page 13 of 24 INCLUSIVE PEDAGOGIES & CURRICULAR INNOVATION What does research tell us? We need... Culturally relevant curriculum Active learning strategies Critical pedagogy Intersectional assessment practices Mentorship and support Inclusive language & communication Training These approaches
Engineering) to develop a Web Application, PhD Dissertation, Auburn University. 715. Shanbhogue, RD, Beena, BM. Survey of data mining (DM) and machine learning (ML) methods on cyber security. Ind J Sci Technol 2017; 10: 1153–1176.16. Kwon, D, Kim, H, Kim, J, et al. A survey of deep learning-based network anomaly detection. Cluster Comput 2017; 22: 949–961.17. Ye, Y, Li, T, Adjeroh, D, et al. A survey on malware detection using data mining techniques. ACM Comput Surv 2017; 50: 41:1–41:40.18. Barriga, J, Yoo, SG. Malware detection and evasion with machine learning techniques: a survey. Int J Appl Eng Res 2017; 12: 7207–7214.19. T. Atkison, S. Ponomarev, R. Smith, and B. Chen, “Feature Extraction
://doi.org/10.1177/25151274198794692. Zappe, S. E., Cutler, S. L., & Gase, L. (2023). A systematic review of the impacts of entrepreneurial support programs in science, technology, engineering, and math fields. Entrepreneurship Education and Pedagogy. (1), 3- 31. https://doi.org/10.1177/251512742110404223. Curiosity: What do we mean? (n.d.). Engineering Unleashed. https://engineeringunleashed.com/card/1493.4. Creating Value: A component of entrepreneurial mindset (n.d.). Engineering Unleashed https://engineeringunleashed.com/creating-value5. Walden, D. D., Shortell, T. M., Roedler, G. J., Delicado, B. A., Mornas, O., Yip, Y. S., & Endler, D. (Eds.). (2023). INCOSE systems engineering handbook (5th ed.). John Wiley
as projectsproceed from planning to design to manufacturing. Engineers often work with otherprofessionals to offer project economic information and opinions of project costs. Engineers mayalso help evaluate life-cycle costs [1]. b. Project ManagementNSPE uses the Project Management Institute’s (PMI) definition of a project as “a temporaryendeavor undertaken to create a unique product, service, or result.” Examples of projects includecreating or modifying a process to make a product, manufacturing a product, and construction.Similarly, project management is “the application of knowledge, skills, tools, and techniquesto meet the project requirements.” Project management is the process by which engineeringorganizations provide products and