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AR cycle involves a clear rationale for pedagogical intervention,reflection upon this exercise, and preparation for another cycle [30]. All faculty membersinvolved in this exercise were empowered to create similar hybrid student-AI activities in theirupcoming classes. They were aware of both the added value of such assignments and their abilityto provide critical reflection on the limitations of GenAI. Consistent with Wach et al.’s [43] emphasis on responsible use of GenAI tools, facultymembers were aware of the need to move beyond mere restriction to ethical use. Facultymembers consistently relayed their belief that the best means forward is to expose students toGenAI tools within a controlled class environment, in a manner like the
-367. Retrieved from https://magnascientiapub.com/journals/msarr/content/impact-robotics-clubs-k-12-students- interest-stem-careersBalgopal, M. M. (2020). STEM teacher agency: A case study of initiating and implementing curricular reform. Science Education, 762-785. Retrieved from https://onlinelibrary.wiley.com/doi/abs/10.1002/sce.21578Ching, Y.-H., Yang, D., Wang, S., Baek, Y., Swanson, S., & Chittoori, B. (2019). Elementary school student development of STEM attitudes and perceived learning in a STEM integrated robotics curriculum. TechTrends, 63(1), 590-601. Retrieved from https://link.springer.com/article/10.1007/s11528-019-00388-0Mabli, J., Bleeker, M., Fox, M. K., Jean-Louis, B., &
valuable feedback.References[1] J. Pomerantz, "Learning in Three Dimensions: Report on the EDUCAUSE/HP Campus of the Future Project," in "ECAR research report," EDUCAUSE, Louisville, CO, August 2018 2018.[2] J. Pomerantz, "XR for Teaching and Learning: Year 2 of the EDUCAUSE/HP Campus of the Future Project," in "ECAR research report," EDUCAUSE, Louisville, CO, 2019.[3] J. Pomerantz, "Extending XR across Campus: Year 2 of the EDUCAUSE/HP Campus of the Future Project," in "ECAR research report," EDUCAUSE, Louisville, CO, 2020.[4] Y. M. Tang, K. M. Au, H. C. W. Lau, G. T. S. Ho, and C. H. Wu, "Evaluating the effectiveness of learning design with mixed reality (MR) in higher education," Virtual Reality
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and how these interactions benefitprofessionals. Open-ended responses will be thoroughly examined using qualitative analysissoftware, like NVivo, to conduct a detailed thematic and sentiment analysis to gain deeperinsights into student feedback.References[1] Douglas, E. P., & Jordan, S. S., & Lande, M., & Bumbaco, A. E. (2015, June), ArtifactElicitation as a Method of Qualitative Inquiry in Engineering Education Paper presented at 2015ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.23574[2] Rogers, Courtney & Valdez, Rupa. (2021). Designing for Diversity, Equity, and Inclusion inSystems Engineering Education. 10.18260/1-2--36929.[3] Landis, R. B. (1997, June), Enhancing Engineering Student Success: A
data saturation has not yet been fully achieved in this WIP study [11]. Twocodes—reverse thinking and risk management—were identified by only one participant,indicating that additional data collection may offer further insights. As we expand this study inthe future, we intend to increase the sample size to allow for a more comprehensive exploration. References[1] C. J. Atman, K. Yasuhara, R. S. Adams, T. J. Barker, J. Turns, and E. Rhone, “Breadth in problem scoping: A comparison of freshman and senior engineering students,” International Journal of Engineering Education, vol. 24, no. 2, p. 234, 2008.[2] R. S. Adams and C. J. Atman, “Characterizing engineering student design processes: An
toward achieving the program's goals. Through structuredresearch experiences, faculty mentorship, and community engagement, the program providedmeaningful opportunities for students from underrepresented backgrounds to excel incomputational sciences and engineering. The success of the program in improving academicperformance, and interest in advanced studies and STEM careers highlights its potential tocontribute to the broader goal of strengthening national competitiveness in science andtechnology.References[1] S. H. Russell, M. P. Hancock, and J. McCullough, “Benefits of Undergraduate Research Experiences,” Science, vol. 316, no. 5824, pp. 548–549, Apr. 2007, doi: 10.1126/science.1140384.[2] A. L. Zydney, J. S. Bennett, A. Shahid, and K. W
focus our analysison domestic applicants to four engineering programs (aerospace, chemical, electrical, andmechanical) at a large public research university in the U.S. between 2010 and 2022. We focuson domestic applicants because previous research has found substantial cross-nationaldifferences in norms for writing LORs and we wanted to minimize the influence of thosedifferences [5]. We selected four programs to sample from to provide variation in program size,selectivity, and diversity.1 This research was initially funded by the National Science Foundation under Grant No. 2225209, awarded in 2022.Funding was discontinued by the NSF in April 2025 because the project’s focus on broadening participation inSTEM “no longer effectuate[s] the
Assessment. Washington, D.C.: National Academies Press, 2001, p. 10019. doi: 10.17226/10019.[2] J. Perry, D. Lundie, and G. Golder, “Metacognition in schools: what does the literature suggest about the effectiveness of teaching metacognition in schools?,” Educational Review, vol. 71, no. 4, pp. 483–500, Jul. 2019, doi: 10.1080/00131911.2018.1441127.[3] J. D. Stanton, A. J. Sebesta, and J. Dunlosky, “Fostering Metacognition to Support Student Learning and Performance,” LSE, vol. 20, no. 2, p. fe3, Jun. 2021, doi: 10.1187/cbe.20-12- 0289.[4] N. Zhao, J. G. Wardeska, S. Y. McGuire, and E. Cook, “Metacognition: An Effective Tool to Promote Success in College Science Learning,” Journal of College Science Teaching, vol. 43, no. 4, pp
consume and produce data with concrete experience in authenticresearch settings.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.2236241. Any opinions, findings and conclusions, or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National Science Foundation. References[1] S. Purzer, C. Zoltowski, W. Zakharov, and J. Arigye, “Developing the Design Reasoning in Data Life-Cycle Ethical Management Framework,” in 2024 ASEE Annual Conference & Exposition, June 2024.[2] J. Quintana-Cifuentes and S. Purzer, “Semantic Fluency in Design Reasoning,” International Journal of
Paper ID #46201BOARD # 367: Engineering PLUS: a NSF Eddie Bernice Johnson INCLUDESAllianceMrs. Claire Duggan, Northeastern University Claire Duggan is currently Executive Director for The Center for STEM Education at Northeastern University and Co-Principal Investigator for the National Science Foundation Engineering PLUS Alliance. Claire leads the coordination of stEm PEER (Practitioners Enhancing Engineering Regionally) Academy, a key strategy for this grant. Claire has helped lead multiple NSF STEM grant efforts including but not limited to ATE, ITEST, RET, REU, and S-STEM initiatives.Mr. Richard R Harris, Northeastern
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likely butmust be validated by research. Therefore, next steps in this research include looking at 1) validand reliable ways to measure peripheral cognitive load, 2) the effects of techniques that decreasemarginalization on the peripheral cognitive load of students, and 3) if the effects of knowntechniques to reduce cognitive load are more effective for students from marginalizedpopulations.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under AwardNumbers 2114241 and 2114242. Any opinions, findings, conclusions, or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] G. Van Dyke, C. McCall, M. B
guidelines in [10]. The iterative refinement process, which included theoretical calculationsand simulation, reflects approaches from [11]. 1 L = 2 𝜌𝜌𝑉𝑉 2 𝑐𝑐𝑙𝑙 𝑆𝑆 (1) 1 D = 2 𝜌𝜌𝑉𝑉 2 𝑐𝑐𝑑𝑑 𝑆𝑆 (2)The formula for lift force includes air density (ρ), flight speed (V), lift coefficient (𝑐𝑐𝑙𝑙 ), and wingarea (S). It is typically assumed that the lift force is equal to the UAV's instantaneous weight duringcruise and loiter phases. The lift
course content, as the scope of the program is to develop globalleaders, it is relevant to contextualize this term. In Osland et al.’s, review of the literature, theyproposed that a global leader is “An individual who inspires a group of people to willinglypursue a positive vision in an effectively organized fashion while fostering individual andcollective growth in a context characterized by significant levels of complexity, flow andpresence [1].” However, in corporate operations, the phrase “global” refers to more than justgeographic reach. It also covers the idea of intellectual scope in the formation of a globalmentality and cultural reach in terms of people. It encompasses a global mindset, which is thecapacity to create and evaluate
strategy for the digital transformation,” Int. J. InteractDes. Manuf., vol. 14, no. 4, pp. 1195–1209, Dec. 2020, doi: 10.1007/s12008-020-00702-8.[10] K. Stolpe and J. Hallström, “Artificial intelligence literacy for technology education,”Computer Educ. Open, vol. 6, p. 100159, Jun. 2024, doi: 10.1016/j.caeo.2024.100159.[11] H. Zhang, I. Lee, S. Ali, D. DiPaola, Y. Cheng, and C. Breazeal, “Integrating Ethics andCareer Futures with Technical Learning to Promote AI Literacy for Middle School Students:An Exploratory Study,” Int. J. Artif. Intell. Educ., vol. 33, no. 2, pp. 290–324, Jun. 2023, doi:10.1007/s40593-022-00293-3.[12] T. K. F. Chiu, H. Meng, C.-S. Chai, I. King, S. Wong, and Y. Yam, “Creation andEvaluation of a Pretertiary Artificial
CommercialApplications,” U.S. Government Accountability Office (GAO), Q&A Report to Congressional Requesters GAO-24-106946, Jun. 2024. Accessed: Jan. 05, 2025. [Online]. Available: https://www.gao.gov/assets/870/869770.pdf.[7] Y. Liu and H. Wang, Who on earth is using generative AI ? Washington, DC: World Bank, 2024.[8] McKinsey & Company, “The state of AI in early 2024: Gen AI adoption spikes and starts to generate value,” QuantumBlack AI by McKinsey, May 30, 2024. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai#/ (accessed Jan. 05, 2025).[9] S. Vidalis, R. Subramanian, and F. Najafi, “Revolutionizing engineering education: the impact of AI tools on student
when creating the project and just use personal skills learned in classes before. The con for this method is not knowing how much to do to receive a higher grade.” “The lack of detailed instructions made me the most nervous at the beginning of the project, but as our group progressed, it turned out this was a non-issue and instead gave us more creative freedom to really let us make our project what we wanted it to be.”Discussion and Future WorkThe Engineering Museum Exhibit (EME) was overall a success. Students were encouraged to getcreative, and the resulting displays at the live showcase embodied the KEEN 3Cs. Using Guay etal.’s [24] pre-validated questionnaire
development.References[1] V. G. Goulart, L. B. Liboni, and L. O. Cezarino, “Balancing skills in the digital transformation era: The future of jobs and the role of higher education,” Ind. High. Educ., vol. 36, no. 2, pp. 118–127, Apr. 2022, doi: 10.1177/09504222211029796.[2] W. Medina-Jerez, “Science Education Research Trends in Latin America,” Int. J. Sci. Math. Educ., vol. 16, no. 3, pp. 465–485, Feb. 2018, doi: 10.1007/s10763-016-9785-z.[3] G. Marinoni, H. Van’t Land, T. Jensen, and others, “The impact of Covid-19 on higher education around the world,” 2020.[4] S. Giannini, “COVID-19 y educación superior: de los efectos inmediatos al día después,” Rev. Latinoam. Educ. Comp. RELEC, vol. 11, no. 17, pp. 1–57, 2020.[5] M. Akour and M
prerequisite concepts, and implementing strategies thatreshape students' perceptions of difficult courses. By addressing the challenges identified in thisstudy, educators can help students navigate the rigors of engineering statics, ultimately reducingfailure rates and fostering a more engaging and effective learning experience. This workunderscores the need for intentional instructional practices that not only improve academicsuccess but also prepare students for the demands of their engineering careers.References[1] S. Rajasekaran, Engineering Mechanics Statics And Dynamics. Vikas Publishing House, 2009.[2] P. S. Steif, “An articulation of the concepts and skills which underlie engineering statics,” in 34th Annual Frontiers in Education
future of engineering education [8]. [1]. Riazifar, N., and Khajehsaeid, H. "Enhancing Engineering Education through Problem-Based VI. CONCLUSION Learning." WMG, University of Warwick, 2024. [2]. Ali, M., Hussin, S., and Abdullah, N. "The Effect of Project-Based Learning (PBL) has demonstrated Science, Technology, Engineering and Mathematicsits transformative impact on engineering and (STEM) Project-Based Learning (PBL) on Students
, and O. Iwuanyanwu, "Cross- 2020.functional team dynamics in technology management: a comprehensivereview of efficiency and innovation enhancement," Engineering Science and [19] K. Ngcobo, S. Bhengu, A. Mudau, B. Thango, and M. Lerato,Technology Journal, vol. 5, no. 12, pp. 3248-3265, 2024. "Enterprise data management: Types, sources, and real-time applications to enhance business performance-a systematic review
principles. Harper & Row. VII. RESEARCH QUESTIONS: CREATIVITY & AI [2] Schumpeter, J. A. (1942). Capitalism, socialism and democracy. Harper & Brothers. [3] Pratt, M. K., & McLaughlin, E. (2023). Business innovation. TechDoes AI support divergent thinking, or does it reinforce patterns Target. https://www.techtarget.com/searchcio/definition/business-innovationthat limit originality? Can it act as a co-creator alongside human [4] Goswami, S., & Mathew, M. (2005). Definition of innovation revisited:artists, or does it produce work that lacks depth and
Question(s) Likert Scale 1 = strongly disagree, Sense of Belonging I feel like I belong at my university 7 = strongly agree When you think about your university, how often, if 1 = Never, Belonging Uncertainty ever, do you wonder: Maybe I don't belong here? 5 = Always 1 = strongly disagree, Engineering Identity Sum of multiple Items from Godwin [12] 6 = strongly agree