Paper ID #41730Microelectronics Research and Global Competencies: Unpacking ResearchAbroad Experiences of Engineering StudentsChibuzor Joseph Okocha, University of Florida Okocha Chibuzor Joseph is an ambitious Ph.D. student at the University of Florida, specializing in the integration of Artificial Intelligence (AI) in engineering Education and computer science education with a significant focus on global competence. His pioneering research, guided by Professor Gloria Kim, is at the forefront of educational innovation and aims to transform the landscape of learning in these technologically advanced fields. Chibuzor
Mathematics, 7(3), 403–411. https://doi.org/10.2140/involve.2014.7.403[4] Graham, M. J., Frederick, J., Byars-Winston, A., Hunter, A.-B., & Handelsman, J. (2013). Science education. Increasing persistence of college students in STEM. Science (New York, N.Y.), 341(6153), 1455–1456. https://doi.org/10.1126/science.1240487[5] Hernandez, P. R., Woodcock, A., Estrada, M., & Schultz, P. W. (2018). Undergraduate Research Experiences Broaden Diversity in the Scientific Workforce. BioScience, 68(3), 204–211. https://doi.org/10.1093/biosci/bix163[6] REU – For Students / NSF – National Science Foundation. (n.d.) Retrieved April 19, 2021 from https://www. Nsf.gov/crssprgm/reu[7] Bangera, G., & Brownell, S. E. (2014) Course
.[5] A. Bandura, “On the Functional Properties of Perceived Self-Efficacy Revisited,” Journal of Management, vol. 38, no. 1, pp. 9-44, 2012.[6] D. R. Krathwohl, B. Bloom and B. Masia, Taxonomy of Educational Objectives: the classification of educational goals (Affective domain, handbook II), vol. II, D. McKay, Ed., New York, 1964.[7] H. Khan, “Teaching To Design, Build, And Test In Senior Projects: Learning Outcomes In The Cognitive, Affective And Psychomotor Domains,” in ASEE Annual Conference, Montreal, 2002.[8] E. Stapleton-Corcoran, “Bloom’s Taxonomy of Educational Objectives,” University of Illinois Chicago, Center for the Advancement of Teaching Excellence, 25 January 2023. [Online]. Available: https
Paper ID #41933Board 261: Engineering Technology, Anthropology, and Business: Reflectionsof Graduate Student Researchers in the Pursuit of Transdisciplinary LearningDeana Lucas, Purdue University, West LafayetteRebecca Martinez, Purdue Polytechnic Graduate Programs ©American Society for Engineering Education, 2024 Engineering Technology, Anthropology, and Business: Reflections of Graduate Student Researchers in the Pursuit of Transdisciplinary LearningAbstract Two graduate student researchers, with specializations in engineering and technologyeducation and anthropology, collaborated on a National Science Foundation (NSF
Paper ID #41778Educational Expertise: Faculty Insights on Preparing Computing Studentsto Navigate Technical InterviewsStephanie Jill Lunn, Florida International University Stephanie Lunn is an Assistant Professor in the School of Universal Computing, Construction, and Engineering Education (SUCCEED) and the STEM Transformation Institute at Florida International University (FIU). She also has a secondary appointment in the Knight Foundation School of Computing and Information Sciences (KFSCIS). Previously, Dr. Lunn earned her doctorate in computer science from the KFSCIS at FIU, with a focus on computing education. She also
, curricula materials,professional learning, management, and research.References 1. B. Nelson, “Biologically inspired design: A unique multidisciplinary design model,” ASEE Annual Conference and Exposition, Conference Proceedings, 2008. 2. M. Eggermont and R. Paul, “Developing holistic engineering competencies in a bio- inspired design course,” Proceedings of the Canadian Engineering Education Association (CEEA), 2020. 3. S. Vattam, M. Helms and A. Goel, “Compound analogical design: Interaction between problem decomposition and analogical transfer in biologically inspired design,” Third International Conference on Design Computing and Cognition, June 2008. 4. K. Fu, D. Moreno, M. Yang, and K. L. Wood, "Bio
the factor analysis has improved the interpretability of the results. Aneigenvalue threshold (>1) and the shape of the resulting scree plot determined the number offactors to retain in the analysis. A one-factor solution for the first factor is found to besubstantially more significant than others. The authors conducted a Principal ComponentAnalysis (PCA) with Varimax rotation to explore the factor structure of the survey items [16].The Varimax rotated matrix was finally used to obtain the factor structure. More details of thissurvey development and its statistical reliability analysis are available in Hang [8].B. Intervention group The sophomore and junior mechanical engineering students at Tuskegee Universityparticipated in this study
frameworks from the domains of engineering education and technical and professional communication to implement this research into a classroom intervention aimed at reducing the gendered disparity in these communication challenges. To help resolve these issues, this methodological paper presents a new research method called, "infrastructural rhetorical analysis" derived from the field of rhetoric and communication. The paper then applies this method to an educational intervention case study involving the experiences of women in the first-year engineering classroom to determine a concrete classroom intervention that aims to make the most difference with the least amount of resources needed to implement it. Keywords: Intersectional feminism
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Means –Visualizing Learner Activity and Outcomes for Online Instructors,” in Association forEngineering Education - Engineering Library Division Papers, Atlanta: American Society forEngineering Education-ASEE, 2019.[6] J. T. Abbitt and W. J. Boone, “Gaining insight from survey data: an analysis of thecommunity of inquiry survey using Rasch measurement techniques,” Journal of computing inhigher education, vol. 33, no. 2, pp. 367–397, 2021.[7] J. B. Arbaugh et al., “Developing a community of inquiry instrument: Testing a measure ofthe Community of Inquiry framework using a multiinstitutional sample,” The Internet and highereducation, vol. 11, no. 3, pp. 133–136, 2008.[8] D. Randy. Garrison, T. Anderson, and W. Archer, “Critical Inquiry in a Text
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continuously scalable for comfortable use on a variety of displays, the app supportsmultiple color schemes for usage in a variety of lighting conditions, and icons are usedthroughout the application to visually indicate the actions that UI elements will have. (a) The hardware editor view in Iron Coder (b) The code editor view in Iron Coder Figure 1: The two main modes of Iron Coder, showcasing the user interface design.Current GUI features include a “system editor” view as seen in Figure 1a, in which boards,represented as 2D images with interactable pins, can be added to the system. Similar to aschematic editor, virtual wires can be used to connect boards together. This mode offers anoverview of the hardware layout, along with
insights. This preliminary analysis serves as a foundation for deeper investigationsinto spatial skills within the MET program. While the data shows promising trends, furtherexamination and collaboration are essential to unlock the full potential of spatial skills assessmentand its impact on education and interdisciplinary cooperation.REFERENCESDuffy, G., Power, J., Sorby, S., Bowe, B. (2018). Differentiating between Spatial Ability as aSpecific Rather than General Factor of Intelligence in Performance on Simple, Non-routineProblems in Mathematics. Engineering Design Graphics Journal, 82(1), 43-46.http://edgj.org/index.php/EDGJ/article/view/682Lubinski, D. (2010). Spatial ability and STEM: A sleeping giant for talent identification anddevelopment
Paper ID #43931Investigating Undergraduate Engineering Students’ Understanding and Perceptionsof Affective Domain of LearningMs. Anna Li Coffman, University of OklahomaDr. Javeed Kittur, University of Oklahoma Dr. Kittur is an Assistant Professor in the Gallogly College of Engineering at The University of Oklahoma. He completed his Ph.D. in Engineering Education Systems and Design program from Arizona State University, 2022. He received a bachelor’s degree in Electrical and Electronics Engineering and a Master’s in Power Systems from India in 2011 and 2014, respectively. He has worked with Tata Consultancy Services as an
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first semester, and teameffectiveness, which was assessed using a scale comprising four factors: interdependency,learning, goal setting, and potency. The teamwork predisposition items (Table 1) containresponses on a 6-point Likert scale (1 = Strongly Disagree, 6 = Strongly Agree), and the teameffectiveness scale (Table 2) responses contain a 7-point Likert scale (0 = Strongly Disagree, 6 =Strongly Agree). The team effectiveness scale contains 26 items, including two reverse-codeditems to validate students' responses. B. Table of survey questionsTable 1 TEAMWORK PREDISPOSITION ITEMS. RESPONSES ON 6-POINT LIKERT SCALE (1 = STRONGLYDISAGREE, 6 = STRONGLY AGREE) Item. Statement 1 In a
designand fabrication in upper-division mechanical design courses.AcknowledgmentsWe gratefully acknowledge Christopher Lee for collaborations on project advising in the pilotcourses and Steven Santana for insights on framing the design process stages.References[1] S. B. Shooter, “A systems engineering design experience for the machine design curriculum,” in Proceedings Frontiers in Education 1997 27th Annual Conference. Teaching and Learning in an Era of Change, Pittsburgh, PA, USA: Stipes Publishing, 1997, pp. 1588– 1593. doi: 10.1109/FIE.1997.632756.[2] H. R. Börklü, N. Yüksel, K. Çavdar, and H. K. Sezer, “A practical application for machine design education,” J. Adv. Mech. Des. Syst. Manuf., vol. 12, no. 2, pp. JAMDSM0036
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departments,” Journal ofEngineering Education, vol. 99, no. 3, pp. 185-207, Jul. 2010.[13] B. B. McIntyre, K. R. Maxey, D. Verdin, and A. Godwin, “A Review of AgenticFrameworks in Engineering Education,” presented at the 2020 ASEE Virtual Annual ConferenceContent Access, Jun. 2020. Accessed: Apr. 03, 2024. [Online]. Available: https://peer.asee.org/a-review-of-agentic-frameworks-in-engineering-education[14] A. Coso Strong, C. J. Faber, W. C. Lee, C. A. Bodnar, C. Smith-Orr, and E. McCave, “Inpursuit of impact: Toward a contextualized theory of professional agency of engineeringeducation scholars,” Journal of Engineering Education, vol. 112, no. 1, pp. 195–220, 2023, doi:10.1002/jee.20496.[15] C. M. Campbell and K. O’Meara, “Faculty Agency
,” 2022.[10] E. E. Miskioğlu et al., “Situating intuition in engineering practice,” J. Eng. Educ., vol. 112, no. 2, pp. 418–444, 2023, doi: 10.1002/jee.20521.[11] J. Fülöp, “Introduction to Decision Making Methods,” 2005.[12] C. Aaron, E. Miskioglu, K. M. Martin, B. Shannon, and A. Carberry, “Nurses, Managers, and Engineers – Oh My! Disciplinary Perceptions of Intuition and Its Role in Expertise Development,” in 2020 IEEE Frontiers in Education Conference (FIE), Uppsala, Sweden: IEEE, Oct. 2020, pp. 1–6. doi: 10.1109/FIE44824.2020.9274026.[13] M. Roth, E. Miskioglu, A. R. Carberry, and K. M. Martin, “Characterizing Perceptions of Engineering Intuition Based on Experience and Gender: 2023 ASEE Annual
.[6] K. C. S. Ang, F. Afzal, and L. H. Crawford, “Transitioning from passive to active learning: Preparing future project leaders,” Proj. Leadersh. Soc., vol. 2, pp. 1–11, 2021, doi: 10.1016/j.plas.2021.100016.[7] T. F. Remington, P. Chou, and B. Topa, “Experiential learning through STEM: Recent initiatives in the United States,” Int. J. Train. Dev., vol. 27, no. 3–4, pp. 327–359, Dec. 2023, doi: 10.1111/ijtd.12302.[8] B. I. Adeika et al., “Increasing Student Motivation and Learning by Adopting the Experiment-Centric Pedagogy: A Case of Undergraduates in Biology,” ASEE Annu. Conf. Expo. Conf. Proc., 2023.[9] Nancy Mohd Al Hamad, Ololade Elizabeth Adewusi, Chika Chioma Unachukwu, Blessing
contributions to the societal tapestry.References[1] International Labour Organization, “World Employment and Social Outlook: Trends 2024,” [Online]. Available: http://www.ilo.org/global/research/global- reports/weso/WCMS_908142/lang--en/index.htm.[2] X. Wang, L. Zhang, X. Yang, and L. Chen, “Persistence or Dropout? Intentional Persistence in Senior Engineering Students and Its Influencing Factors,” Res. Higher Educ. Eng., vol. 32, no. 5, pp. 96–101, 2014.[3] A. Powell, A. Dainty, and B. Bagilhole, “Gender stereotypes among women engineering and technology students in the UK: lessons from career choice narratives,” Eur. J. Eng. Educ., vol. 37, no. 6, pp. 541–556, 2012.[4] H. Mishkin, N. Wangrowicz, D. Dori and Y. J. Dori
Paper ID #44356Effective Strategies for New Faculty from the Perspective of an AssistantProfessor in the Early-Career StageDr. Yuzhang Zang, Western Washington University Yuzhang Zang is currently an assistant professor in the department of Engineering and Design at Western Washington University since Fall 2022. She was a visiting assistant professor at Valparaiso University from Aug 2021 to May 2022. Yuzhang received her Bachelor of Engineering (B. Eng.) in Electromagnetic Field & Wireless Technology Harbin Institute of Technology (HIT) in 2014, Master of Science (M.Sc.) in Electrical and Computer Engineering at
-0037.[9] B. A. Mohler, “Citation Analysis as an Assessment Tool,” Sci. Technol. Libr., vol. 25, no. 4, pp. 57–64, May 2005, doi: 10.1300/J122v25n04_05.[10] D. Denick, J. Bhatt, and B. Layton, “Citation Analysis Of Engineering Design Reports For Information Literacy Assessment,” presented at the 2010 Annual Conference & Exposition, Jun. 2010, p. 15.278.1-15.278.17. Accessed: Jan. 25, 2024. [Online]. Available: https://peer.asee.org/citation-analysis-of-engineering-design-reports-for-information-literacy- assessment[11] N. N. Edzan, “Tracing Information Literacy of Computer Science Undergraduates: A Content Analysis of Students’ Academic Exercise,” Malays. J. Libr. Inf. Sci., vol. 12, no. 1, pp. 97–109, Jul. 2007.[12] F
Engineering at California Polytechnic State University, San Luis ObispoJohn Galisky, University of California, Santa BarbaraDr. Brian P. Self, California Polytechnic State University, San Luis Obispo Brian Self obtained his B.S. and M.S. degrees in Engineering Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for sev ©American Society for Engineering Education, 2024 WIP: Instructors’ Framing of their Instructional PracticeIntroductionThis WIP study stems from a larger project focused on the propagation of educationaltechnology in diverse instructional settings
nickel-cadmium (Ni-cd) batteries which have values in the range of 10-25 volts and 10-50 Ah values.However, lithium-ion (Li-ion) or lithium-polymer (LiPo) batteries can have values of 200V to600V or more. The ampere-hour (Ah) rating of these batteries can vary from a few tens toseveral hundred Ah. The values can vary from one aircraft to another depending on the aircraft'srequirements. These higher voltages require additional personal protection equipment to handlethe equipment. OSHA 1910 includes requirements for those working with high voltages [11].These requirements include the following: a. 1910.269: If the voltage is more than 600v there should be at least two employees present. b. 1910.269: The technician