Differences: The Miville-Guzman Universality-Diversity Scale,” J. Couns. Psychol., vol. 46, no. 3, pp. 291-307, 1999.[14] MU’s Core Competencies Initiative, “The Miville-Guzman Universality-Diversity Scale- Short Form (MGUDS-S),” Carnegie Mellon University. [Online]. Available:https://www.cmu.edu/corecompetencies/globalculturaldei/resources-and-tools/miville-guzman-universality-diversity-scale/index.html?utm_source=chatgpt.com. [Accessed: Jan. 6,2025].[15] B. K. Jesiek, Y. Shen, and Y. Haller, “Cross-Cultural Competence: A Comparative Assessment of Engineering Students,” Int. J. Eng. Educ., vol. 28, no. 1, pp. 144–155, 2012.[16] X. Wang, B. K. Jesiek, and Q. Zhu, “Investigating attitudes toward diversity amongengineering and management students
Paper ID #47364Early Discovery: Evolving a Program to Prepare Freshman and SophomoreStudents for Graduate School and Research (Experience)Nia A. Keith, Purdue University College of Engineering Nia Keith is a Master’s student in Electrical Engineering and a Graduate Assistant in the College of Engineering at Purdue University. With a B.S. in Electrical Engineering from Southern Illinois University - Carbondale, Nia brings valuable industry experience from her positions at Ford Motor Company and GE Aerospace. Her research focuses on enhancing minority engineer retention programs and mentoring underrepresented students in
Superintendent of the United States Military Academy," Apr. 25,1921, File Number 351.051, Aerodynamics Course (1918-1925), United States Military AcademyPermanent Records.[12] D. MacArthur, "Memorandum to the Chief of the Army Air Service," Apr. 19, 1921, File Number351.051, Aerodynamics Course (1918-1925), United States Military Academy Permanent Records.[13] S. Braddom, B. Crawford, R. Melnyk, and B. Stringer, "The United States Military Academy FlightLaboratory Program: A Hands-On Approach to Engineering Education," in 2005 American Society forEngineering Education Annual Convention, Portland, OR, Jun. 12-15, 2005.[14] U.S. News & World Report, "United States Military Academy," [Online]. Available:https://www.usnews.com/best-colleges/west-point
Paper ID #46386Reflecting on Ten Years of Building a Community of Practice for TeachingInnovations in Fundamental Mechanics CoursesWayne L Chang, University of Illinois Urbana-Champaign Dr. Wayne Chang is an assistant teaching professor in the Aerospace Engineering Department at the University of Illinois at Urbana-Champaign. He received his BS, MS, and Ph.D. in Mechanical and Aerospace Engineering from the University of California, Irvine.Mikayla R Hoyle, University of Illinois at Urbana - Champaign Mikayla R. Hoyle is a PhD student in the Dept. of Mechanical Sciences and Engineering at the University of illinois Urbana
Impact of Artificial Intelligence on Students in Higher Education,” Int J Educ Method, 2024, doi: 10.12973/ijem.10.2.997.[12] V. V. Singh, “Assessment of Artificial Intelligence-Based Digital Learning Systems in Higher Education Amid the Pandemic Using Analytic Hierarchy,” 2024, doi: 10.21203/rs.3.rs- 3828524/v1.[13] B. Anuyahong, “Analyzing the Impact of Artificial Intelligence in Personalized Learning and Adaptive Assessment in Higher Education,” International Journal of Research and Scientific Innovation, 2023, doi: 10.51244/ijrsi.2023.10412.[14] A. Rai, “Explainable AI: from black box to glass box,” J Acad Mark Sci, vol. 48, no. 1, pp. 137– 141, Jan. 2020, doi: 10.1007/s11747-019-00710-5.[15
shown here for illustrative purposes, but theinstructor can provide more cycles in the assignment at their discretion) are constructed such thatthey exchange heat with only two isothermal energy reservoirs 𝑅𝑅𝐻𝐻 and 𝑅𝑅𝐿𝐿 at temperatures 𝑇𝑇𝐻𝐻 >𝑇𝑇𝐿𝐿 , and 𝑇𝑇𝐿𝐿 , respectively, as required by the Clausius statement. Furthermore, the system is takento be 1 kg of an ideal gas operating in a piston-cylinder assembly.Analyze each cycle process-by-process to determine if (a) the cycle is even possible or not.(NOTE: If even a single process is not possible, the cycle will be impossible to design/construct.)(b) If all processes are possible, then the cycle is possible, and your next step is to assess whetherthe cycle violates the
of Conferences, EDP Sciences, Sep. 2023. doi: 10.1051/e3sconf/202342601102.[7] M. Perkins and J. Roe, “The use of Generative AI in qualitative analysis: Inductive thematic analysis with ChatGPT,” Journal of Applied Learning and Teaching, vol. 7, no. 1, Jan. 2024, doi: 10.37074/jalt.2024.7.1.22.[8] P. Y. Lubis and B. Shahri, “Human-Centered Design as a Qualitative Research Methodology in the Area of Public Health,” in – The European Conference on Arts, Design and Education 2022 Official Conference Proceedings, The International Academic Forum(IAFOR), Sep. 2022, pp. 101–109. doi: 10.22492/issn.2758-0989.2022.8.[9] U.S General Services Administration, “Human-Centered Design Discovery Stage Field Guide.” Accessed: Jan
for equity described in the Handbook on Measuring Equity in Education[8]. The handbook identifies five categories of impartiality measures to gauge equity in learning:(a) the gap or difference in selected values between groups; (b) the ratio of representation inlearning to the general population; (c)the covariance or correlation between membership in a groupand some outcome; (d) the concentration index comparing strata of the population to educationaloutcomes; and (e) comparisons of group-level cumulative information. UNESCO posits that themost equitable outcome would be one in which all identifiable groups are indistinguishable in theireducational hurdles and outcomes. This paper's analysis is based on the difference in the averagetuition
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underrepresented students in STEM,” J. Res. Sci. Teach., vol. 54, no. 2, pp. 169–194, Feb. 2017, doi: 10.1002/tea.21341.[8] M. J. Graham, J. Frederick, A. Byars-Winston, A.-B. Hunter, and J. Handelsman, “Increasing Persistence of College Students in STEM,” Science, vol. 341, no. 6153, pp. 1455–1456, Sep. 2013, doi: 10.1126/science.1240487.[9] Z. S. Wilson et al., “Hierarchical Mentoring: A Transformative Strategy for Improving Diversity and Retention in Undergraduate STEM Disciplines,” J. Sci. Educ. Technol., vol. 21, no. 1, pp. 148–156, 2012, Accessed: Jan. 17, 2025. [Online]. Available: https://www.jstor.org/stable/41413293[10] E. C. Cline et al., “Institutional Practices to Close the Equity Gap,” presented at the 2024 ASEE Annual
) Beginning in a large group, students began Whole-Class Video Appendix B Explore students categorized discussing the attributes of images of wind Recording - Imagine & information and formed new turbines displayed on the screen, discussing Explore understandings based on the geometry the recognized. Next, students provided information participated in the "Mini Windmill" lesson from the elementary KidWind Curriculum. Finally, students participated in a
academic achievement and social transformation,” Science Education, 101(6), 1034–1060, 2017.[6] L. S. Vygotsky, The collected works of L.S. Vygostky, Vol. 4: The history of the development of higher mental functions (R.W. Rieber, Vol Ed; Hall, Trans) New York: Plenum Press, 1997. (Original work published 1941).[7] M. Fullan, The new meaning of educational change, New York: Teachers College Press, 2016.[8] M. Windschitl, J. Thompson, & M. Braaten, M. Ambitious science teaching. Harvard Education Press, 2018.[9] B. Glaser & A. Strauss, The discovery of grounded theory: Strategies for qualitative research. New York: Aldine de Gruyter, 1967.[10] C. Giroux, “How do youth engage in engineering literacies?: A
Eng. Mgmt., Vol. EM-32. No. 1. pp. 3 – 9. Feb. 1985 G.K. Koulinas, O.E.Demesouka, K.A. Sidas and D.E. Koulouriotis, “A TOPSIS – Risk Matrix and Monte Carolo Expert System for Risk Assessment in Engineering Projects. Sustainability, 2021 Vol. 13, pp. 11277. https://doi.org/10.3390/su132011277 J.M. Kouzes, B.Z. Posner, The Leadership Challenge: How To Make Extraordinary Things Happen in Organizations. Sixth Edition. Hoboken, NJ. John Wiley and Sons, Inc., 2017 A. Mazak and B. Kratzwald, “The Weighted Decision Matrix: Tracking Design Decisions in Service Compositions”, 2014 IEEE 7th Intl. Conf. on Service-Oriented Comp. and Appl. November 17-19, 2014. C.S. Carlson, Effective FMEA’s: Achieving Safe, Reliable, and Economical
, M., Swindell, G. S., Kokkinos, N. C., & Willhite, G. P. The Impact of the Energy Transition on Petroleum Engineering Departments: The Faculty Perspective. Presented at the SPE 2023 Annual Technical Conference and Exhibition. https://doi.org/10.2118/215086-MS[6] Feder, J. As Industry Changes, So Does Petroleum Engineering Education, Journal of Petroleum Technology, 71(12), 44–48, 2019. https://doi.org/10.2118/1219-0044-JPT[7] Mosobalaje, O., Aku, M., Egbe, T., Ibeh, C., Aderibigbe, B., Ogbonna, J., and Olayemi,M. A Framework for Introducing Data Analytics and Machine Learning to Petroleum EngineeringUndergraduates. Presented at the 2024 SPE Nigerian Annual International Conference andExhibition. https://doi.org/10.2118
Health Help‐Seeking Instrument (UE‐MH‐HSI): Development and validity evidence.”Journal of Engineering Education, vol. 113, no. 4, pp. 1198-1225, 2024.[12] L. Ricci, J-B. Lanfranchi, F. Lemetayer, C. Rotonda, F. Guillemin, J. Coste, and E. Spitz,“Qualitative Methods Used to Generate Questionnaire Items: A Systematic Review,” QualitativeHealth Research, vol. 29, no. 1, pp.149-156, 2019. doi:10.1177/1049732318783186[13] J.H. Hammer, C.J. Wright, M.E. Miller, and Wilson, S. A., “The Undergraduate EngineeringMental Health Help-Seeking Instrument (UE-MH-HSI): Development and validity evidence,”Journal of Engineering Education, vol. 113, no. 4, pp. 1-28, 2024.https://dx.doi.org/10.1002/jee.20615[14] W.C. Lee, J.L. Hall, A. Godwin, D.B. Knight, and D
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quantum computing and explore collaborations with industry partners to further enhancelearning outcomes.Reference[1] Y. You, A. Buluc, J. Demmel. “Scaling Deep Learning on GPU and Knights Landingclusters”. 9 Aug 2017. [Online]. Distributed, Parallel, and Cluster Computing.https://arxiv.org/abs/1708.02983[2] E. A. Huerta, A. Khan, E. Davis, etc. “Convergence of Artificial Intelligence and HighPerformance Computing on NSF-supported Cyberinfrastructure”. Journal of Big Data. Vol 7,Article number: 88 (2020). https://arxiv.org/abs/2003.08394[3] Y. Zhang. "Scalable Parallel Machine Learning on High Performance Computing Systems:Clustering and Reinforcement Learning". Purdue University, 2022.[4] B. Oliveri. “Why Accelerated Data Processing Is Crucial
Paper ID #45928Work-In-Progress: Optimizing Student Mental Health Support through Biomarker-DriveMachine Learning and Large Language ModelsDr. Yuexin Liu, Texas A&M University AI/DRL in low Reynolds number hydrodynamics, Stress Management and Well-beingDr. Behbood ”Ben” Ben Zoghi P.E., Southern Methodist University Ben Zoghi is the Associate Dean, Advanced Studies and Industrial Partnerships, Executive Director, Hart Center for Engineering Leadership Bobby B. Lyle Endowed Professor of Engineering Innovation Professor of Electrical and Computer Engineering and a faculty Fellow, with Los Alamos National Laboratory. Before
, realization, relief, remorse, sadness, and surprise.Results & DiscussionThis section presents the findings for all the research questions. Section A refers to the firstresearch question about the emotions expressed by engineering students and professors to theemotion questions in UPHEME. Section B discusses the second research question on how theemotions of participants vary in terms of demographics (primary discipline, self-identified agerange, self-identified gender identity, self-identified race/ethnicity) and Section C shows thefindings for the third research question and gives a comparison of four pre-trained NLP modelsin identifying participants' emotions expressed in UPHEME.A. Emotions expressed by Engineering Students and Professors in
Paper ID #47648Navigating the AI Ethics Frontier: A Cross-national Comparison of AI PolicyDocuments for Developing Responsible AI WorkforceEmad Ali, Virginia Polytechnic Institute and State University Emad Ali is a Ph.D. student in the Department of Engineering Education at Virginia Tech. His research focuses on the integration of artificial intelligence in engineering education with particular emphasis on its ethical implications. He holds a master’s degree in Electrical Engineering with specialization in Embedded Systems, from the Information Technology University (ITU Lahore), as well as a Bachelor’s degree in Avionics
transformation (r =.75). Again, these patterns suggest those elements of the frameworkviewed as important were also viewed as transformative for CEE students.Figure 3. Absolute pattern match across three rating questions. Refer to Appendix B for each ofthe statement clusters.Go-ZonesThe Go-Zone is a scatterplot picture that uses the same rating used in pattern matches to evaluatethe importance, feasibility, and transformative potential of each statement. The scatter plot isdivided into quadrants based on the average for each contrasted rating. The quadrants are thencolor-coded to easily identify the distribution of points based on two rating values. The greenarea contains ideas that are above average for both the contrasted ratings. The yellow and
-space-designAppendix A. Two ECE Design-Team-Developed Pitch Deck Drafts (Fall 2019)Team 1 – Project: 3D Printer Vending Machine Pitch DeckTeam 2 – Project: UAV Based Livestock Tagging Pitch DeckAppendix B. Example Slide Deck with Presentation and Design TipsAppendix C. General Presentation Checklist Text: • The presentation text is concise and has been thoroughly proofread, especially for major grammatical or mechanical errors. • The type size should generally be 24+. • Fonts should pair well together. (Google it or consult Fontpair!) • Use high contrast for readability (e.g., light text on a dark background or vice versa). • Don’t overcrowd your slides with text. Let your design breathe. Use only as much
), 23 – 3722. Tapola, An. & Niemivirta, M. (2008). The Role of Achievement Goal Orientations in Students’ Perceptions of and Preference of Classroom Environment. British Journal of Educational Psychology, 78 (2), 291 – 31223. Thompson, B. (2004). Exploratory and Confirmation Factor Analysis: Understanding Concepts and Applications. American Psychological Association, Washington, DC.24. Tormey, R. (2021). Rethinking student-teacher relationship in higher education: a multidimensional approach. High Education, 82, 993 – 1011 https://doi.org/10.1007/s10734-021-00711-w25. Trickett, E. J. & Moos. R. H. (1973). Social Environment of Junior High and High School Classrooms. Journal of Educational Psychology, 65 (1), 93 – 10226. Tu
Paper ID #46367How to Cultivate Digital Engineering Management Talents: A Case on the”Digital Intelligence Innovation and Management” Engineering Doctoral ProgramYuxin Xue, Zhejiang University Yuxin Xue is a Ph.D student in the School of public affairs, Zhejiang University. Her research interests include Science and Technology Management.Prof. Tuoyu Li, Zhejiang University Tuoyu Li is a associate professor of the Institute of China’s Science, Technology and Education Policy, Zhejiang University. His research interests include Engineering Education, Science Technology and Education Policy.Min Ye, Zhejiang University Min
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https://doi.org/10.1016/j.lindif.2023.102274 (2023).4. Finnie-Ansley, J., Denny, P., Becker, B. A., Luxton-Reilly, A. & Prather, J. The robots are coming: Exploring the implications of OpenAI codex on introductory programming. in ACM International Conference Proceeding Series (2022). doi:10.1145/3511861.3511863.5. Correll, S. J., Seymour, E. & Hewitt, N. M. Talking about Leaving: Why Undergraduates Leave the Sciences. Contemp Sociol 26, (1997).6. Hsu, E. & Bressoud, D. Insights and Recommendations from the MAA National Study of College Calculus. Insights and Recommendations from the MAA National Study of College Calculus (2015).7. Guo, P., Yuan, K. & Huang, Z. Develop Web-based
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