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
of the Christian Engineering Conference 2024, George Fox University, Newberg, OR, Jun. 2024, pp. 298–309. [Online]. Available: https://digitalcommons.cedarville.edu/christian_engineering_conference/2024/proceedings/ 25[7] T. L. Nilsson and L. Doyle, “Pushing and Shoving: Improving Student Understanding of Support Reactions with Hands-on Demonstrations,” presented at the 2019 ASEE Annual Conference & Exposition, Jun. 2019. Accessed: Nov. 04, 2024. [Online]. Available: https://peer.asee.org/pushing-and-shoving-improving-student-understanding-of-support- reactions-with-hands-on-demonstrations[8] P. S. Steif and A. Dollar, “Sharpening Statics As A Tool For Design: Demystifying The Modeling Of
instructional modality, independentlydesigned modules aligned with their course content, syllabus, and student learning objectives.Each instructor developed one to three data science modules and implemented them multipletimes during the project, refining them through implementation experience and discussions withother partners in the project. This resulted in twelve modules developed and implemented acrosssix different STEM courses (Table 1).Table 1. Participating courses and their discipline-specific modules and implementationsemesters. Course (Course University Department Module(s) Implementation Abbreviation) (Discipline) Semester(s
them to be successful in the end. They need to know that they can come totheir mentor with all the raw emotions of not knowing their goals or what their next move is. Itis theirs to shape into how they want to mold their futures, but they should feel assured byfaculty and staff that they will be there from point A to point B or Z if need be. REFERENCES[1] GALLUP and F. Lummina, "State of Higher Education 2024 Report," Lumina, Washington, D.C., 2024.[2] S. R. Covey, The seven habits of highly effective people: restoring the character ethic, New York: Simon and Schuster, 1989.[3] J. Pinchot, D. Cellante, S. Mishra and K. Paullet, "Student perceptions of challenges and the role of mentorship in
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-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., &
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thinking in philosophy, and theories on leadershipdevelopment and community building. The framework discusses three dimensions: problem,perspective, and time. According to Grohs et al. “These three dimensions…and their interactions[describe] elements of a systems thinking approach to problem-solving that is sensitive to thecomplex and ambiguous nature of wicked problems” [20]. The constructs associated with each ofthe dimensions are presented in the table below which summarizes the framework.Table 1: The three dimensions of Grohs et al.’s systems thinking framework [20] Grohs et al.’s Problem Dimension Perspective Dimension Time Dimension Dimension Purpose Names technical and Elaborates how Evaluates how
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
Race Ethnicity Gender Degree(s) Discipline(s) Completed Shabazz Black or African Not Hispanic or Man B.S., M.S. Mechanical American Latino Engineering LP White Hispanic or Woman B.S. Chemical Latino Engineering Zach Black or African Not Hispanic or Man B.S., M.S Mechanical American Latino Engineering Kenya Black or African Not Hispanic or Woman
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
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
: Springer, 2021, pp. 135-153.[7] T. Yigitcanlar, F. Cugurullo, and S. Ozdemir, "Examining Environmental Sustainability in the'Smart City' through the Lens of Green AI," Sustainability, vol. 13, no. 16, art. no. 9025, 2021.[8] D. J. Miller et al., "Artificial neural networks and water quality: A review," Journal ofHydrology, vol. 616, art. no. 128722, 2023.[9] N. Altin and A. O. Eyimaya, "Application of artificial intelligence in energy management formicrogrids: A review," Renewable and Sustainable Energy Reviews, vol. 171, art. no. 113042,2023.[10] M. Osama, W. Adel, A. Atef, and N. Abdelmonem, "A drone-based approach for thermalassessment of building envelopes," Energy and Buildings, vol. 278, art. no. 112605, 2023.[11] M. Marzouk and S. Atef
]. Available:https://www.lifescied.org/doi/pdf/10.1187/cbe.23-04-0059. [Accessed: 14-Jan-2025].S. S. Raza, A. M. Ibrahim, and C. M. Williams, "The Role of Informal Science Educationin Shaping Science Identity: A Case Study of an Out-of-School Astronomy Program,"arXiv preprint arXiv:2306.06014, Jun. 2023. [Online]. Available:https://arxiv.org/abs/2306.06014. [Accessed: 14-Jan-2025].R. Fry, B. Kennedy, and C. Funk, "STEM Jobs See Uneven Progress in IncreasingGender, Racial and Ethnic Diversity," Pew Research Center, Washington, DC, USA,Apr. 2021. [Online]. Available: https://www.pewresearch.org/science/wp-content/uploads/sites/16/2021/03/PS_2021.04.01_diversity-in-STEM_REPORT.pdf.[Accessed: 14-Jan-2025].
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
researchnetwork to explore the demonstration of psychological safety within the network. In amulti-institutional research network such as [Name of Research Network], the organization’sprimary goals involve creating new knowledge and finding new ways to tackle systemicproblems.To achieve the goals of the research network, participants are required to contribute to thecontinuous improvement of activities and research products to achieve the goals of the network.Participants make their contributions by sharing their ideas, by collaborating with otherparticipants, as well as by trying out new ways of doing things. While these activities have thepotential to benefit the goals of the research network, they could pose certain risks to theparticipant(s) involved
Examples of: a) physical qualitative versus b) computer-generated quantitative material property charts.Game Mechanics Variation with Enhanced Gamification Element: Currently, the Multi-Material Marbles Game is designed as an activity that encourages playful interaction to achievethe potential learning objectives. The tactile nature of the multi-material spheres and theopportunity to collaborate with other players keep participants engaged throughout the experience.Although there are “game mechanics”, the activity currently does not have the concept of a“winner”. Under Deterding et al.’s taxonomy of gamification, this game lies between aneducational game, a science demo, and an educational toy, see Fig 1. We believe this achieves agood balance
’ journeys through the program, allowing adjustments to foster greater self-efficacy,reinforce the richness of learning experiences, and clarify outcome expectations.References:[1] K. Bartlett, O. Burkacky, L. Li, R. Vrijen, and B. Wiseman, “A roadmap for US semiconductor fab construction,” McKinsey and Company, Jan. 2023. Accessed: Jan. 12, 2025. [Online]. Available: https://www.mckinsey.com/industries/industrials-and- electronics/our-insights/semiconductor-fabs-construction-challenges-in-the-united-states#/[2] US GAO, “Semiconductor Supply Chain: Policy Considerations from Selected Experts for Reducing Risks and Mitigating Shortages,” U. S. Government Accountability, GAO-22- 105923, Jul. 2022. Accessed: Jan. 12, 2025. [Online
, using either a PI or PID + filter controllers. After completing eachtrial, students compare the experimental data to the expected behavior from a Simulink blockdiagram model that they must construct using process gains and time constants estimated fromexperimental data. A critical learning objective is for students to construct Simulink blockdiagram using the correct transfer functions to model the plant and reproduce the experimentaltrials. Fig. 3 illustrates how typical results from the VR experiment complement modeling inMATLAB and Simulink. The experimental data represent the closed-loop response obtainedafter a change in the liquid level setpoint in tank 1. The closed-loop transfer function g CL(s) forthe system is second order
proposed timeline detailed in the section above topublish a full paper in a future ASEE conference.References[1] S. Malcolm, “Strengthen the case for DEI,” Science, vol. 383, no. 6690, Mar. 28, 2024. [Online]. Available: https://doi.org/10.1126/science.adp4397. [Accessed: Dec. 29, 2024].[2] “Pivotal moments in higher education DEI,” Insight into Diversity, Sept. 17, 2023. [Online]. Available: https://www.insightintodiversity.com/pivotal-moments-in-higher- education-dei/. [Accessed: Dec. 30, 2024].[3] K. Kearney, C. D. Wilson, and E. Ramirez, “Overcoming barriers of incorporating diversity, equity, and inclusion initiatives in nursing schools,” Journal of Nursing Education, vol. 63 (1), pp. 1-4, Sept. 2023.[4] R.H. Stout, C. Archie
any credence or acknowledge it. We’rehere to do a job.” However, she stated that at times she felt like she was “back in the 1980’s.”However, another faculty member said that she had not felt either advantaged or disadvantagedfor being a woman in engineering. Finally, an associate professor in a different department alsoreported a strong amount of support from both male and female colleagues at ResearchUniversity I. Yet, she described a “systemic bias” during her graduate and postdoctoral careerthat caused some of her female peers to decide not to seek a faculty position. She recalled, “I hada lot of friends who wanted to be faculty and they just got tired. They got tired of constantlyfighting.” At Research University III, women faculty