aprocess, develop a process map and apply the concepts of value B. AI-Powered Risk Identification in Projectand waste to that process. The peer rating allows students to Managementsee how others have solved the problem and rate themselves Risk identification is a fundamental component ofrelative to their peers.) successful project execution. In this assignment, students would use AI-driven risk analysis tools to identify andF. Activity: Process Improvement of Paper Airplane categorize potential risks for a given project. They would then Manufacturing Process
," European Journal of Engineering Education, vol. 39, no. 1, pp. 55-67, 2014, doi: 10.1080/03043797.2013.833170.[4] A. M. Y. Radhya Yusri, Azlin Sharina, "A systematic literature review of project-based learning: research trends, methods, elements, and frameworks," International Journal of Evaluation and Research in Education, vol. 13, no. 5, pp. 3345-3359, 2024, doi: 10.11591/ijere.v13i5.27875.[5] R. Shpeizer, "Towards a Successful Integration of Project-based Learning in Higher Education: Challenges, Technologies and Methods of Implementation," Universal Journal of Educational Research, vol. 7, no. 8, pp. 1765-1771, 2019, doi: 10.13189/ujer.2019.070815.[6] B. E. Katie Leanne Basinger, Sean R
. D. Lapitan, A. L. A. Chan, N.S. Sabarillo, D. A. G. Sumalinog, and J. M. S. Diaz, “Design,Implementation, and Evaluation of an Online Flipped Classroom with Collaborative Learning Model in anUndergraduate Chemical Engineering Course. Education for Chemical Engineers 2023, 43, 58–72.[9] V. Braun and V. Clarke, “Using thematic analysis in psychology,” Qualitative Research in Psychology,3(2), 2006 Pages 77–101. https://doi.org/10.1191/1478088706qp063oa[10] B. Sharma, B. Steward, S. K. Ong, and F.E. Miguez, “Evaluation of Teaching Approach and StudentLearning in a Multidisciplinary Sustainable Engineering Course,” Journal of Cleaner Production, 2017, 142, Pages4032–4040. https://doi.org/10.1016/j.jclepro.2016.10.046.[11] https
groups highly valued communication skills, teamwork, and problemsolving & critical thinking, consistent with other reports in the literature[3], [9].Figure 2: Word cloud for industry hiring managers and academic advisor survey. a.)What arethe 3 most important professional skills you are looking for in a new hire at your company? b.)What are the 3 most important skills you are looking for in recruiting a new PhD student intoyour research group?One survey question asked about hiring managers’ awareness of the BME degree characteristicscompared to other engineering majors. While 50% responded favorably, 33% felt that there waslimited understanding and 17% felt that their hiring managers did not fully appreciate thenuances of a BME curriculum
, “A descriptive study of race and gender differences in how instructional style and perceived professor care influence decisions to major in STEM”, International Journal of STEM Education, vol. 6, no. 1, p. 1– 13, 2019.[6] C. T. Clotfelter, H. F. Ladd, and J. L. Vigdor, How and why do teacher credentials matter for student achievement? (No. w12828). Cambridge: National Bureau of Economic Research, 2007.[7] S. G. Rivkin, E. A. Hanushek, and J. F. Kain, “Teachers, schools, and academic achievement”. Econometrica, vol. 73, no. 2, p. 417–458, 2005.[8] G. Nugent, B. Barker, G. Welch, N. Grandgenett, C. Wu, and C. Nelson, “A model of factors contributing to STEM learning and career orientation”, International Journal of Science
activated. b) Auditory AdjustmentsFrom a health and safety perspective, all site audits indicated measures to protect against furtherdamage to hearing loss through protective requirements. However, worksites lacked warning andsignal systems that can accommodate workers with auditory concerns. If an impairment existsamong the workforce, those workers will rely on other employees to signal them in anemergency tied to an auditory signal. This is also the case for some workers wearing earprotection that will muffle alarms and potentially increase response time in an emergency. c) Visual ImpairmentThe site audits revealed a lack of consideration for individuals with visual impairments, with afew notable exceptions. Onsite signage did meet
/03085140701760841.[5] D. A. Cook and A. R. Artino, “Motivation to learn: an overview of contemporary theories,” Med. Educ., vol. 50, no. 10, pp. 997–1014, 2016, doi: https://doi.org/10.1111/medu.13074.[6] H. M. Matusovich, R. A. Streveler, and R. L. Miller, “Why Do Students Choose Engineering? A Qualitative, Longitudinal Investigation of Students’ Motivational Values,” J. Eng. Educ., vol. 99, no. 4, pp. 289–303, 2010, doi: https://doi.org/10.1002/j.2168- 9830.2010.tb01064.x.[7] Q. Li, D. B. McCoach, H. Swaminathan, and J. Tang, “Development of an Instrument to Measure Perspectives of Engineering Education Among College Students,” J. Eng. Educ., vol. 97, no. 1, pp. 47–56, 2008, doi: https://doi.org/10.1002/j.2168-9830.2008.tb00953.x.[8] B
programs can be foundin Appendix A. Visit sites included residential townships in lower socioeconomic areas, localclinics and district hospitals in the public sector, the University of Cape Town, and a medicaldevice startup venture. The timeline presented in Figure 1 details how the recruitmentprocedures, travel experience, and capstone design project occurred for students who traveledbefore (Figure 1A) and after (Figure 1B) their senior design experience.Figure 1. (A) The three rising seniors in the 2022 cohort and two rising seniors in the 2024cohort traveled before their senior design experience, as is detailed in this timeline. (B) The 5recent graduates in the 2024 cohort followed this timeline, which includes travel after projectconclusion
would allow studentsto be even more comfortable with their classmates in terms of discussion and with the jigsawprocedure. a) b)Figure 2: Examples of student work from jigsaw activities with a) an “expert” group page and b) a decision group page from the wastewater jigsaw.SurveyThe analysis of the descriptive statistics identified three themes in the data. First, 12 of the 28items provided support for the assertion that positive change occurred from pre- to post-surveys(items 2, 4, 5, 7, 10, 11, 12, 13, 15, 16, 18, and 21; Table 3). These items showed that thepercentage of students who responded with “Strongly agree” or “Somewhat agree” increasedfrom pre-survey to post-survey, with
started their engineering program below aCalculus I level were less than half as likely to complete their engineering degrees than studentswho started at a Calculus I level. And, regardless of the course they started in, getting high marks(A or B) in that course made them 6.5 times more likely to complete their degree than studentswith low marks (D, F, or W) [7].While much of the work aimed at improving student success and persistence in math courseworkconsiders the math course design itself [2, 5, 11], this study attempts to consider thisphenomenon instead from the student’s experience through the lens of self-efficacy. Forexample, the self-efficacy of students who, from the start, feel behind in their math courseworkmay be reduced due to how
a change in behavior (Standard B) • presenting an important topic (i.e. sustainability) that should be applied across all professions and subjects (Standard C) • engaging participants in providing feedback on how the activity could be made more effective for various age groups and how it should be integrated into curriculum (Standard D) • providing participants with an active-learning activity proven to be effective in engineering education (Standard E).The activity is aligned with the three dimensions of science learning as defined by NextGeneration Science Standards (NGSS) [14]. The activity is focused on 1. Science andEngineering Practices by introducing the movement to go beyond traditional
minutes were dedicated to gathering experimental data and engaging in a discussion.Demo 1 took place on the second day of class, effectively generating excitement among students.They were particularly impressed by how closely their experimental results aligned with theirpredicted values. This immediate validation fostered enthusiasm and a sense of accomplishment,solidifying their understanding of ultimate tensile strength (UTS) early in the course.Experimental ProcedureTo begin, the instructor secures a 0.020” wire to the force gauge by twisting it approximately 15-20 times, as shown in Figure 1(a). Once secured, the force gauge is held in place with one handand the wire is pulled with the other hand until it breaks, as depicted in Figure 1(b
]. Available: https://dl.acm.org/doi/10.1145/3408877.3432363[16] J. Prather, B. A. Becker, M. Craig, P. Denny, D. Loksa, and L. Margulieux, “What Do We Think We Think We Are Doing? Metacognition and Self-Regulation in Programming,” in Proceedings of the 2020 ACM Conference on International Computing Education Research, ser. ICER ’20. New York, NY, USA: Association for Computing Machinery, Aug. 2020, pp. 2–13. [Online]. Available: https://dl.acm.org/doi/10.1145/3372782.3406263 15[17] D. Loksa, L. Margulieux, B. A. Becker, M. Craig, P. Denny, R. Pettit, and J. Prather, “Metacognition and Self-Regulation in Programming Education: Theories and Exemplars of Use,” ACM Trans
-Year Institution[2] Maccariella, J., Pribesh, S., & Williams, M. R. (2019). An Engineering Learning Community to Promote Retention and Graduation for Community College Students. Journal of Professional Issues in Engineering Education and Practice, 145(4), 4019013–. https://doi.org/10.1061/(ASCE)EI.1943-5541.0000424[3] Conner, S., & Hubbarth, S., & Boyer, D. M. (2024, June), Impacts of Near-Peer Mentoring Between Graduate Students and Undergraduate Transfer Students in Engineering and Computing Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--47569[4] Hirst, R. A., Bolduc, G., Liotta, L., & Wai-Ling Packard, B. (2014). Cultivating the STEM
to report mental health concerns,” https://www.apa.org. Accessed: Nov. 07, 2022. [Online]. Available: https://www.apa.org/monitor/2019/01/gen-z[4] A. A. Adams-Clark and J. J. Freyd, “COVID-19-related institutional betrayal associated with trauma symptoms among undergraduate students,” PLOS ONE, vol. 16, no. 10, p. e0258294, Oct. 2021, doi: 10.1371/journal.pone.0258294.[5] D. Courtney, P. Watson, M. Battaglia, B. H. Mulsant, and P. Szatmari, “COVID-19 Impacts on Child and Youth Anxiety and Depression: Challenges and Opportunities,” Can. J. Psychiatry, vol. 65, no. 10, pp. 688–691, Oct. 2020, doi: 10.1177/0706743720935646.[6] “Part 1 of 5: COVID-19 Impact on College Student Mental Health.” Accessed: Nov. 07, 2022. [Online
, such as processor design, the A-line and B-line are intricate. However, through this project-based Problem analysis skills learning, I have learned to break down complex problems into multiple stages, each with its own specific focus and tasks. Through multiple verifications of the self-designed code System evaluation program, I have gained a certain level of foresight regarding the skills success of the subsequent tape-out process. We need to translate the programs in the computer into physical
Teaching and Educational Research in EngineeringAbstractThe use of generative Artificial Intelligence (genAI) in teaching and education has receivedattention and rapid growth in university engineering programs since OpenAI released ChatGPT inNovember 2022. In this paper, the authors explore the use of genAI in teaching and educationalresearch in engineering disciplines and examine potential benefits and challenges whiletransitioning to genAI implemented in engineering education. This study A) Analyzes howeducators and learners understand and identify the usage of genAI and ChatGPT in engineeringeducation; B) Explores the potential benefits, challenges, and limitations of using thesetechnologies; and C) Identifies educators' perceptions of using
responded to recent increases in research-track hires by recruiting a senior research faculty memberto serve as a mentor. While these adjustments have improved inclusivity, further refinements are neededto ensure the program continues to meet the specific needs of all faculty types.References:Beach, A. L., Sorcinelli, M. D., Austin, A. E., & Rivard, J. K. (2016). Faculty development in the age ofevidence: Current practices, future imperatives. Stylus Publishing.Bloom, J. L., Hutson, B. L., & He, Y. (2013). The Appreciative Advising Revolution. Champaign, IL:Stipes Publishing.Boice, R. (1992). The New Faculty Member: Supporting and Fostering Professional Development. SanFrancisco, CA: Jossey-Bass.Brown, B. (2018). Dare to lead: Brave work
least oncebefore. This demonstrates that almost a third of the students who responded struggle withlearning the subject matter. This initial investigation demonstrated that Project-based learningcould have real-impact to student mastery of subject matter and cognitive engagement.Anecdotes from students were varied with some not liking the additional workload. Somestudents also felt anxious about the project requirements which were quite unstructured.However, in general, students seemed to see the benefit in project work and had favorablecomments. Anecdotally, students were initially hesitant about the project but as the semesterprogressed, students seemed more engaged in the material.Cohort 2 (Spring 2025)In Spring 2025, an A-B test of project
communities do and how they function.References:[1] A. Lorde, A Burst of Light: Essays. Firebrand Books, 1988.[2] b. hooks, All About Love: New Visions, 1st Perennial ed., Harper Perennial, 2000.[3] L. Sutcher, L. Darling-Hammond, and D. Carver-Thomas, “Understanding teacher shortages: An analysis of teacher supply and demand in the United States,” Education Policy Analysis Archives, vol. 27, p. 35, Apr. 2019, doi: 10.14507/epaa.27.3696.[4] T. D. Nguyen, C. B. Lam, and P. Bruno, “Is there a national teacher shortage? A systematic examination of reports of teacher shortages in the United States,” Annenberg Institute at Brown University, EdWorkingPaper 22-631, Aug. 2022, doi: 10.26300/76eq-hj32.[5] K. P. McVey and J
and Interdisciplinary Immersion in STEM Graduate Student Training: A Qualitative Investigation into Insights from Appalachian, Cherokee, and Other Rural Contexts,” Paper presentation at the 19th Annual International Congress of Qualitative Inquiry Conference, May 28-30, 2024, Virtual conference, 2024. University of Illinois at Urbana-Champaign, Urbana, Illinois. 8. B. Bates. “Learning Theories Simplified.” 2023. Sage Publications. 9. D. Grasso and M. B. Burkins, “Holistic engineering education: Beyond technology,” 2010, New York, NY: Springer. 10. Stanford d.School, “Design Thinking Bootleg,” 2023. Retrieved from https://dschool.stanford.edu/resources/design-thinking-bootlegAcknowledgementsThe authors
2009 ASEE Annual Conference and Exposition, Austin, TX, 2009.[10] S. L. Rodriguez, C. Lu and M. Bartlett, "Engineering Identity Development: A Review of the Higher Education Literature," International Journal of Education in Mathematics, Science and Technology (IJEMST), vol. 6, no. 3, pp. 254-265, 2018.[11] M. Scheidt, A. Godwin, R. Senkpeil, S. G. Juliana, J. Chen, B. P. Self, J. Widmann and E. J. Berger, "Validity Evidence for the SUCCESS Survey: Measuring Non-Cognitive and Affective Traits of Engineering and Computing Students," in 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah, 2018.[12] L. Krest, C. Major, M. Scheidt, J. Ge, B. P. Self, J. Chen, J. Widmann, A. Godwin and E. J. Berger, "Examining
–S90, 2019. [4] S. Elsawah, A. T. L. Ho, and M. Ryan, “Teaching systems thinking in higher education,” INFORMS Transactions on Education, vol. 22, no. 3, 2021. [5] J. R. Grohs, G. R. Kirk, M. M. Soledad, and D. B. Knight, “Assessing sys- tems thinking: A tool to measure complex reasoning through ill-structured problems,” Thinking Skills and Creativity, vol. 29, pp. 74–86, 2018. [6] K. A. Stave and M. Hopper, “Teaching and learning systems thinking: A review of influences and tools,” Systems, vol. 2, no. 2, pp. 117–139, 2014. [7] D. Papi-Thornton, “Teaching guide to map the system 2019,” 2019. [8] J. D. Sterman, “System dynamics at sixty: the path forward,” System Dynamics Review, vol. 37, no. 1, pp. 5–19, 2021. [9] D. H
Define and Develop Data Proficiency,” in 2024 ASEE Annual Conference & Exposition, 2024.[2] Oladele Junior Adeyeye and Ibrahim Akanbi, “THE FUTURE OF ENGINEERING EDUCATION: A DATA ANALYTICS APPROACH,” Engineering Science & Technology Journal, vol. 5, no. 4, pp. 1342–1356, Apr. 2024, doi: 10.51594/estj.v5i4.1030.[3] S. L. Rodriguez, C. Lu, and M. Bartlett, “Engineering identity development: A review of the higher education literature,” International journal of education in mathematics, science and technology, vol. 6, no. 3, pp. 254–265, 2018.[4] W. J. Schell, B. E. Hughes, and B. Tallman, “Understanding engineering identity in undergraduate students,” in American Society for Engineering
Paper ID #47023Tinkerers, Artists, and Athletes: Using Personas to Spotlight AlternativeEngineering Identities and PathwaysSarah Appelhans, Lafayette College Sarah Appelhans is an Assistant Professor of Engineering Studies at Lafayette College. She earned her PhD in Cultural Anthropology at the University at Albany (SUNY) where she conducted research on the cultural factors that contribute to inequalities in engineering. As a postdoc at Bucknell University, she was the resident ethnographer in the Electrical and Computer Engineering Department, exploring applications of Amartya Sen’s capabilities approach in engineering
] University of Waterloo, "360° Interactive 3D VR Distillation Laboratory," [Online].Available: https://chemengvirtual.uwaterloo.ca/distillation-lab/index.html [Accessed Jan 11,2025].[32] B.W. Bequette, Process Control: Modeling, Design and Simulation (Chapter 3: DynamicBehavior), Prentice Hall, 2003.[33] B.W. Bequette, Process Control: Modeling, Design and Simulation (Chapter 9: The IMC-Based PID Procedure), Prentice Hall, 2003.[34] A. Guo, W.C. Marshall, C.C. Woodcock, and J.L. Plawsky, "Transport in mazes; simplegeometric representations to guide the design of engineered systems," Chemical EngineeringScience, vol. 250, p. 117416, 2022.[35] E. Chang, H.T. Kim, and B. Yoo, "‘Virtual Reality Sickness: A Review of Causes andMeasurements
Field (NeRF) Methodology Neural Radiance Fields (NeRFs) are one of the most prominent neural field architectures [44], which are used as the state-of-the-art in 3D reconstruction and view synthesis from 2D images [26]. It is a neural network based approach that learns torepresent a scene’s volumetric density and view-dependent emitted radiance, allowing us to generate new images from anglesnot seen in the training set. The process requires a set of 2D images that observe the same static scene as input. The structureFig. 2. Main 3D Components Designed: (a) The base has a housing for the servo as well as for the PCB tower holding the ESP32-CAM modules. (b) Thecamera mount includes some clips to hold the module in place. (c) The PCB adapter is
Paper ID #46215Incorporating Artifical Intelligence Concepts and Algorithms into FoundationalEngineering CoursesDeana Delp, Arizona State University Deana R. Delp has a Ph.D. in electrical engineering from Arizona State University. She is an associate teaching professor at Arizona State University for Engineering Academic and Student Affairs in the Ira A. Fulton Schools of Engineering. ©American Society for Engineering Education, 2025 Incorporating Artificial Intelligence Concepts and Algorithms into Foundational Engineering CoursesAbstractThis abstract for a full paper
this survey will be shared with targetedstudent support offices, so they can address areas for growth on a departmental level.References[1] D. Cass and S. Hammond, “Bridging the gap: Technology and veteran academic success”, Online Learning, Vol. 19, no. 1, pp. 83-91, 2015.[2] United States Department of Education, August 2020, “National Postsecondary Student Aid Survey 2019/20,” United States Department of Education, National Center for Educational Statistics, Available: https://nces.ed.gov/pubs2024/2024482.pdf[3] T. Hodges, K. Gomes, G. Foral, T. Collette, and B. Moore, “Unlocking ssm/v success: Welcoming student service members and veterans and supporting ssm/v experiences”, Journal of College Student
available on a dedicated website(https://www.electriai.com/electriai-lab/asee25-chatbot).Literature ReviewUsing Scopus, the study searched for publications on the keyword "AI Chatbot" within articletitles, abstracts, and keywords. As of January 2025, 1,424 relevant publications were identified.Figure 1(a) illustrates the growth in the number of publications over the years, while Figure 1(b)highlights the distribution of publications across various disciplines. Research interest in AIchatbots has grown exponentially over the past few years, signaling their increasing importancein both academic and professional domains. (a) 1000 (b