situations and make informed judgments, (b) consider the impact of engineering solutions in global, economic, environmental, and societal contexts. 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies. The 4th outcome has been split into section (a) and (b) to address ethics separately fromsocietal impacts of engineers. Any redesign would have to retain these aspects of the course withassessment metrics and rubrics adapted for the new format. Outcome 4 will be evaluated throughthe ethics lessons and ethics quizzes in the course. But for outcomes 3 and 7, a semester longengineering project can easily address both topics and provide opportunities to assess them.[10,11] The
Paper ID #48364What Makes a Leader? Conceptualizations of Leadership and Implicationsfor Teamwork in First Year DesignVictoria Kerr, University of TorontoBrandon Aldo Lista, University of TorontoMs. Patricia Kristine Sheridan, University of Toronto Professor Sheridan is an Assistant Professor, Teaching Stream at the Troost Institute for Leadership Education in Engineering (ILead) and the Institute for Transdisciplinary Studies in Engineering Education and Practice (ISTEP) at the University of Toronto. Prof. Sheridan teaches teamwork and leadership in the first-year cornerstone design courses and oversees the integration of
the student-teacher relationship in clinical settings,” Nurse Educ Today, vol. 49, pp. 174–179, Feb. 2017, doi: 10.1016/j.nedt.2016.11.026.[20] H. A. Davis, “Conceptualizing the role and influence of student-teacher relationships on children’s social and cognitive development,” Educ Psychol, vol. 38, no. 4, pp. 207–234, Sep. 2003, doi: 10.1207/S15326985EP3804_2.[21] R. Tormey, “Rethinking student-teacher relationships in higher education: a multidimensional approach,” High Educ (Dordr), vol. 82, no. 5, pp. 993–1011, Nov. 2021, doi: 10.1007/s10734-021-00711-w.[22] B. Hooks, Teaching to transgress: Education as the practice of freedom. New York, NY: Routledge, 1993.[23] G. Sidky, “The power game
total of eighty-eight students were enrolled in the MAE 3 course. Between thetwo course sections, A and B, each led by a different instructor, much of the class was comprisedof sophomores (44.3%) and junior (38.6%) students, followed by seniors (17%) and freshmen(10.2%). See Table 1, below, for a breakdown of student enrollment by class standing.Table 1. Student enrollment (N = 88) in spring 2024 by section and class standing. Section Freshmen Sophomore Junior Senior A (n = 33) 0 11 15 7 B (n = 55) 9 28 10 8 Total Percent 10.2 % 44.3
responses to the homework problem. Each step of the problem, from problem definition to self-assessment needs to be presented for students to receive full credit for the problem. However, the course comprises many real world problems, which may be less abstract than other problems in the course. As a result, this study aims to rate the information given in the problem to the student, particularly in relation to the “PRO” elements of the PROCESS rubric. These rubrics are shown in Figure 3. (b) Flipped “PRO” portion of the PROCESS (a) PROCESS rubric used to provide rubric used by the research team to rate formative feedback to
, vol. 51, pp. 10–14,2022.[5] L. Williams and M. Reddish, “Integrating primary research into the teaching lab: benefits andimpacts of a one-semester cure for physical chemistry,” Journal of Chemical Education, vol. 95,pp. 928–938, 2018.[6] L. Haw, S. Sharif, and C. Han, “Predictors of student engagement in science learning: the roleof science laboratory learning environment and science learning motivation,” Asia PacificJournal of Educators and Education, vol. 37, pp. 225–245, 2022.[7] B. DeKorver and M. Towns, “General chemistry students’ goals for chemistry laboratorycoursework,” Journal of Chemical Education, vol. 92, pp. 2031–2037, 2015.[8] R. Felder, “Learning and teaching styles in engineering education,” Journal of EngineeringEducation
inputs that remain constantduring their individual testing. In our example a function, get_temperature in Appendix B,was created to generate permutations of input vectors for different sets of students.The final challenge of creating a dynamic question behavior is to sync the input data between thereference solution and the student solution. The external library Matlab-Grader-Utils provides afunction get_str_value_from_learner in the RandomParameters.m file. Thisfunction will open the student submission and extract the values of a specific variable. In ourexample problem, we extract the student ID variable MNumber and use that identical seed topopulate the input vectors of the reference solution. The code to perform this synchronizationcan be
, SD = 2.83 years) participated in the study (see Figure 16a). Participants wereengineering students with no or varied levels of prior VR experience (see Figure 16b). The studywas approved by the University of Louisville Institutional Review Board (IRB) #22.1089.Participants worked in the virtual factory in groups of three. Participants were provided with abrief introduction about the study, the VR environment, the use of VR headsets and controllers,the eye tracker, and wearable sensors. Participants read and signed an informed consent form andfilled out the demographic survey and pre-experiment surveys. a) b) Figure 16. a) Age distribution of participants and b) distribution of VR familiarity
standardized Sustainability LiteracyTest (Sulitest). A t-test analysis was applied. The results show statistically significant differencesof sustainability knowledge scores between engineering students, reporting generation Z(M=53.8, SD=5.01) scored higher than generation Y (M=44.3, SD=0.27, t (92) = -4.1964, p =.01374. The findings provide (a) meaningful insights to foster EDS, (b) a better understanding ofmeasuring sustainability knowledge among engineering students from generation Z andgeneration Y, and (c) recommendations to incorporate sustainability curriculum developmentinitiatives for future sustainable global engineering courses.IntroductionHigher Education Institutions (HEIs) are crucial in fostering sustainability awareness, which
change, it is clear that we need to develop a deeper understanding of the experiences andsupport systems that enable women to thrive in CE.This study sought to address the ongoing gender gap in CE by examining the essence of the livedexperiences of four women during their first year in a CE program, with a focus on the sourcesof their self-efficacy. Self-efficacy is an essential construct in understanding women’s success inCE, as it directly affects their motivation, resilience, and performance. Drawing from Bandura’stheory [1], self-efficacy is shaped by four main sources: a) mastery experiences that buildconfidence through achievements, b) vicarious experiences that strengthen confidence byobserving others' success, c) social persuasion, such
answer?" Austral. J. Eng. Educ., vol. 3, no. 2, pp. 2-16, 2003.[7] J. D. Reyes, A. O. Insorio, M. L. V. Ingreso, F. F. Hilario, and C. R. Gutierrez, "Conceptionand application of contextualization in mathematics education," Int. J. Educ. Stud. Math., vol. 6,no. 1, pp. 1–18, 2019.[8] D. Jonassen, J. Strobel, and C. B. Lee, "Everyday problem solving in engineering: Lessonsfor engineering educators," J. Eng. Educ., vol. 95, no. 2, pp. 139-151, 2013.[9] S. S. Sazhin, "Teaching mathematics to engineering students," Int. J. Eng. Educ., vol. 14, no.2, pp. 145-152, 1998.[10] H. H. Chng, V. Tan, and Y. Von Bing, "SoTL tales: Lessons and reflections from themathematics classroom," Teach. Learn. Inq., vol. 4, no. 1, pp. 115-120, 2016.[11] X. Du, L. Su, and
: 120 7: 127 8: 140 TABLE II SHANGHAI CONSULTANCY RANKING OF DATA SCIENCE PROGRAMS IN CHINA Ranking 2021 2022 2023 A+ 14 17 18 A 59 72 79 B+ 65 91 189 B 211 263 194 Total 309 352 3702.2 ACM Data Science CompetenciesResults from the earlier
Future. Procedia CIRP. 104. 1728-1733.[3] Shan Wang, Fang Wang, Zhen Zhu, Jingxuan Wang, Tam Tran, Zhao Du. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, Volume 252, Part A, 124167. https://doi.org/10.1016/j.eswa.2024.124167.[4] Frey, C. B., & Osborne, M. A. (2017). "The future of employment: How susceptible are jobs to computerization?" Technological Forecasting & Social Change, 114, 254–280.[5] Jonassen, D., Strobel, J., & Lee, C. B. (2006). "Everyday problem solving in engineering: Lessons for engineering educators." Journal of Engineering Education, 95(2), 139–151.[6] Jordan, M. I., & Mitchell, T. M. (2015). "Machine learning: Trends
, vol. 44, no. 1, pp. 6-15, 2012.[5] E. Gratz and L. Looney, "Faculty Resistance to Change: An Examination of Motivators and Barriers to Teaching Online in Higher Education," International Journal of Online Pedagogy and Course Design (IJOPCD), vol. 10, no. 1, 2020.[6] K. Schwaber and J. Sutherland, "The Scrum Guide," 2020.[7] T. B. Hilburn and M. Towhidnejad, "Chapter 10: Using the Scrum Development Process," in Software Engineering Practice: A Case Study Approach, New York, Chapman & Hall, 2020.[8] K. M. MacQueen, E. McLellan, K. Kay and B. Milstein, "Codebook Development for Team-Based Qualitative Analsyis," Field Methods, vol. 10, no. 2, 1998.[9] M. Paasivaara, S. Durasiewicz and C. Lassenius, "Using scrum in a globally
to foster a sense of autonomy, encouraging the girls to critically engage with their aspi-rations and envision the possibilities they seek to realize. By integrating these components into a cohesive project,the Affirmation Wheel activity, aims to ignite a sustained sense of inspiration—motivating participants to envisionambitious futures and pursue their goals with confidence, agency, and determination. (a) Examples of easy everyday affirmations (b) Quotes from (and pictures of) inspirational women of color (c) Digital diagrams of step-by-step procedures (d) Dimensional sketch of components of the wheel Fig. 2: Presentation highlights For our young girls of color
Paper ID #48134Extra Credit, Extra Security: Lessons Learned from a Bonus-Based IoTSecurity ClassDerin Cayir, Florida International University Derin Cayir is pursuing her Ph.D. at Florida International University, Miami, FL USA, where she is currently a graduate research assistant in the Cyber-Physical Systems Security Lab. Her research interests include privacy/security systems for extended reality devices. Cayir received her bachelor’s degree in electrical electronics engineering from Bilkent University, Ankara, Turkey. She also worked as a Machine Learning Researcher in Meta, Redmond WA.Dr. Mark Allen Weiss, Florida
; Imperatives for Upskilling—A Review,” Architecture,vol. 4, no. 4, Art. no. 4, Dec. 2024, doi: 10.3390/architecture4040046.[6] S. Strain, A. B. Watson, and M. Hale, “Generative AI as an educational resource,”presented at the 2024 South East Section Meeting, Mar. 2024. Accessed: Jan. 14, 2025. [Online].Available: https://peer.asee.org/generative-ai-as-an-educational-resource[7] J. L. Alberd, M. K. Pallikonda, and R. C. Manimaran, “The Future of Learning:Harnessing Generative AI for Enhanced Engineering Technology Education,” presented at the2024 ASEE Annual Conference & Exposition, Jun. 2024. Accessed: Jan. 14, 2025. [Online].Available: https://peer.asee.org/the-future-of-learning-harnessing-generative-ai-for-enhanced-engineering-technology
design process. The study analyses reflection journals from14 third-year material science and engineering students using a qualitative, inductive approach.Results identify four key aspects of problem scoping: (a) gathering information about clients,problem context, and the designers themselves; (b) setting goals based on gathered data; (c)developing solutions using divergent, convergent, and logical thinking; and (d) evaluating andmanaging design outcomes by reflecting on solutions by envisioning outcomes or creatingbackup plans. Both male and female students show similar approaches. Findings contribute tounderstanding students’ problem-scoping processes and highlight opportunities for futureresearch into engineering design education.Keywords
Paper ID #47030BOARD # 323: An S-STEM Program for Commuters at a Regional, PublicUniversityProf. Joan Remski, University of Michigan - Dearborn Joan Remski is the Associate Provost for Faculty Development and Digital Education and a Professor of Mathematics at the University of Michigan-Dearborn. ©American Society for Engineering Education, 2025 Retaining Students in STEM on a Commuter Campus: Early Results from an S-STEM Program at a Regional, Public University Affiliation: University of Michigan-DearbornIntroductionRetention
–72, 2014.[3] J. A. Leydens, J. C. Lucena, and D. M. Riley, “Engineering education and social justice,” in Oxford Research Encyclopedia of Education, 2022.[4] J. A. Leydens and J. C. Lucena, “Social Justice is Often Invisible in Engineering Education and Practice,” in Engineering Justice: Transforming Engineering Education and Practice, 2018, pp. 45–66. doi: 10.1002/9781118757369.ch1.[5] D. A. Martin, E. Conlon, and B. Bowe, “A multi-level review of engineering ethics education: Towards a socio-technical orientation of engineering education for ethics,” Sci. Eng. Ethics, vol. 27, no. 5, p. 60, 2021.[6] B. Stappenbelt, “Ethics in engineering: student perceptions and their professional identity,” JOTSE J. Technol. Sci
tackle the interconnected challenges of the21st century with solutions that are equitable, inclusive, and attuned to human needs. Thecontinued evolution of HCE offers an opportunity to transform the engineering profession,making it more responsive to societal complexities and more effective in improving the humancondition.References[1] G. A. Boy, “A human-centered design approach,” in The handbook of human-machine interaction, CRC Press, 2017, pp. 1–20.[2] C. B. Zoltowski, W. C. Oakes, and A. E. Cardella, “Students’ ways of experiencing human-centered design,” Journal of Engineering Education, vol. 101, no. 1, pp. 28–59, 2012, doi: 10.1002/j.2168-9830.2012.tb00040.x.[3] K. Kotis and G. A. Vouros
Engineering Co-Design Methodology,” in 2019 IEEE International Symposium on Technology and Society (ISTAS), Nov. 2019, pp. 1–6. doi: 10.1109/ISTAS48451.2019.8937932.[3] R. Li, W. J. C. Verhagen, and R. Curran, “Stakeholder-oriented systematic design methodology for prognostic and health management system: Stakeholder expectation definition,” Advanced Engineering Informatics, vol. 43, p. 101041, Jan. 2020, doi: 10.1016/j.aei.2020.101041.[4] A. E. Coso and A. R. Pritchett, “Role of Design Teams in the Integration of Stakeholder Considerations,” Journal of Aircraft, vol. 52, no. 4, pp. 1136–1145, Jul. 2015, doi: 10.2514/1.C032796.[5] B. Ku and E. Lupton, Health Design Thinking: Creating Products and Services for Better
the institution.The GROW Model of coaching was used to structure the coaching sessions. The steps of theGROW Model include: a) establishing a goal; b) evaluating the current reality (what ishappening now and what are the effects or results?); c) exploring options and obstacles (whatelse could you do? What are the advantages and disadvantages of each option?); and d)establishing a will or a way to move forward.Each coach met with a student in one-on-one sessions 4 to 5 times during the semester. Duringeach coaching session, the student completed a form detailing the challenges faced and theprogress made in seeking academic improvements. Each student established a SMART academicgoal, which was tracked throughout the semester.This presentation
society-relatedresults criteria at 10% each. The study employed quantitative method for results or performancemetrics and qualitative method for enablers. The quantitative method included hypothesis testingof target vs performance metrics using paired t-test. The qualitative method included theRADAR (Results, Approach, Deployment, Assessment, and Review) framework forperformance assessment and continuous improvement. Data were collected from XXX SteelPlant located in Iran with 13,000 employees and analyzed using SPSS and MS Excel. This studyconcentrated on customer-related data (sub-criteria 5.e and 6.b) to illustrate the effectiveness ofthe overall methods. The findings reveal a gap between the performance metrics and the target.The research
alternative paths through the mountains. For instance, analyze whethercutting through the mountain with tunnels or creating switchbacks would allow for a shorter orsafer route. How do these alternative designs affect the total track length and grade?Appendix B Bo Jackson’s Hip Recovery Case StudyBo Jackson's hip injury occurred during a 1991 NFL game when a tackle caused his hip todislocate. The injury disrupted blood flow to the femoral head, leading to a condition calledavascular necrosis, where the bone tissue in the hip joint began to die. This resulted in chronicpain and joint damage, eventually requiring a hip replacement.Bo Jackson's Hip Injury and Force Recovery DesignIntroduction: Bo Jackson, a legendary two-sport athlete, suffered a severe
, "Interdisciplinary Curriculum and Learning in Higher Education". (10)Huutoniemi, K., Klein, J. T., Bruun, H. and Hukkinen, J., 2010, "Analyzing Interdisciplinarity:Typology and Indicators", Research Policy, 39(1), pp. 79~88. (11)Klapper, R. and Tegtmeier, S., 2010, "Innovating Entrepreneurial Pedagogy: Examples FromFrance and Germany", Journal of Small Business and Enterprise Development, 17(4), pp. 552~568. (12)Kong, H., 2009, "Engineering Chain:New Challenges to Engineering Education", Research inHigher Research in Higher Education of Engineering(02), pp. 23~26. (13)Lansu, A., Boon, J., Sloep, P. B. and van Dam-Mieras, R., 2013, "Changing ProfessionalDemands in Sustainable Regional Development: A Curriculum Design Process to Meet
Paper ID #46487Love and Its Attributes as a Foundation for Student Learning in EngineeringEducationDr. Mark J. Povinelli, Syracuse University Dr. Mark Povinelli was the Kenneth A. and Mary Ann Shaw Professor of Practice in Entrepreneurial Leadership at Syracuse University, where he also serves as an adjunct professor in the Ren´ee Crown University Honors Program. He has taught at the secondary level in the New Vision Engineering College Preparatory Program and at the Johns Hopkins University Center for Talented Youth. With a professional background spanning research, design, development, and management roles in advanced
.” Accessed: Dec. 02, 2024. [Online]. Available: https://www.pcb.com/sensors-for-test-measurement/pressure- transducers/blast-transducers/icp-free-field-blast[4] C. E. Anderson, W. E. Baker, D. K. Wauters, and B. L. Morris, “Quasi-static pressure, duration, and impulse for explosions (e.g. HE) in structures,” International Journal of Mechanical Sciences, vol. 25, no. 6, pp. 455–464, Jan. 1983, doi: 10.1016/0020- 7403(83)90059-0.[5] G. Mirshekari, M. Brouillette, and L. Fréchette, “Piezoelectric Pressure Microsensor Arrays for the Simultaneous Measurement of Shock Wave Amplitude, Velocity and Direction at a Point,” in 29th International Symposium on Shock Waves 1, R. Bonazza and D. Ranjan, Eds., Cham: Springer International
: 10.1016/J.CIRP.2021.05.008.[2] K. H. Tantawi, I. Fidan, and A. Tantawy, “Status of smart manufacturing in the United States,” 2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019, pp. 281–283, Mar. 2019, doi: 10.1109/CCWC.2019.8666589.[3] B. Wang, F. Tao, X. Fang, C. Liu, Y. Liu, and T. Freiheit, “Smart Manufacturing and Intelligent Manufacturing: A Comparative Review,” Engineering, vol. 7, no. 6, pp. 738– 757, Jun. 2021, doi: 10.1016/J.ENG.2020.07.017.[4] S. Sahoo and C. Y. Lo, “Smart manufacturing powered by recent technological advancements: A review,” J Manuf Syst, vol. 64, pp. 236–250, Jul. 2022, doi: 10.1016/J.JMSY.2022.06.008.[5] S. Terry et al., “The Influence of
engineers.” Transforming undergraduate education in engineering, 2017, https://tuee.asee.org/phase-ii/report/.[5] American Society for Engineering Education, “Transforming undergraduate education in engineering phase IV: Views of faculty and professional societies.” (Transforming undergraduate education in engineering, 2018. https://tuee.asee.org/phase-iv/report/.[6] J.R. Deters, M.C. Paretti, L.A. Perry, and R. Ott, “What does it mean to be “prepared for work”? Perceptions of new engineers,” Journal of Engineering Education, 113(1), 103– 123, 2024, doi: 10.1002/jee.20572.[7] A.L. Castillo, B. McIntyre, and A. Godwin, “Understanding the Influence of Work- Integrated Learning Experiences on Students’ Identity Formation in