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Mohammad A Aliedeh, New Mexico State University
T2 Q1 T3 I1 V1 V2 V3 T4 Q V4 R2 R2 I R1 R1 R4 R4
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Shadi Balawi, Texas A&M University
or harder to bend and justifywhy. This exercise takes around 5-10 minutes with class discussion and Q&A. The Baseline andStudy groups are two sections of the same course taught by the same instructor having around 80student each. Table 1. Sample Quiz Questions for Both Study and Baseline Groups. Proceedings of the 2025 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington, Arlington, TX Copyright 2025, American Society for Engineering Education 4Point Biserial Correlation Coefficients for both groups vary across questions, but all of thesequestions had positive values indicating good
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Matthew Kuester, University of Mary Hardin-Baylor
in height (zA – zB) between the two locations. The volume flowrate (Q) is calculated by applying Bernoulli’s equation along a streamline that runs along the watersurface and utilizing conservation of mass between points A and B: 1/2 2𝑔(𝑧𝐴 − 𝑧𝐵 ) 𝑄 = 𝑑𝐴 𝑤𝐴 𝑑𝐴 𝑤𝐴 2 ( ) −1 ( 𝑑𝐵 𝑤𝐵 )The students also estimated the flow speed by timing how long it took a ping-pong ball to travel aspecified distance along the creek. This provided a
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Roy Uzoma Lan; Chinedu Okonkwo, The University of Texas at San Antonio; Ibukun Gabriel Awolusi, The University of Texas at San Antonio; Jiannan Cai
/j.fuel.2022.124842Moosavi, S., & Bush, J. (2024). Embedding Sustainability in Interdisciplinary Pedagogy for Planning and Design Studios. Journal of Planning Education and Research, 44(2), 576–589. https://doi.org/10.1177/0739456X211003639Morel, J. C., Charef, R., Hamard, E., Fabbri, A., Beckett, C., & Bui, Q. B. (2021). Earth as construction material in the circular economy context: Practitioner perspectives on barriers to overcome. In Philosophical Transactions of the Royal Society B: Biological Sciences (Vol. 376, Issue 1834). Royal Society Publishing. https://doi.org/10.1098/rstb.2020.0182Nazia Kabir, Md. Ramjan Ali, Md. Ariful Islam, Tasnia Thanim Mathin, Mritunjoy
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Md Nazmus Sakib, University of North Texas; Maurizio Manzo, University of North Texas; Rattaya Chowdhury Yalamanchili, University of North Texas
, J. Students’ Perception of the Use of Artificial Intelligence (AI) in Pharmacy School. Currents in Pharmacy Teaching and Learning 2024, 16 (12), 102181. https://doi.org/10.1016/j.cptl.2024.102181.(3) Lin, H.; Chen, Q. Artificial Intelligence (AI) -Integrated Educational Applications and College Students’ Creativity and Academic Emotions: Students and Teachers’ Perceptions and Attitudes. BMC Psychol 2024, 12 (1), 487. https://doi.org/10.1186/s40359-024-01979-0.(4) Yufei, L.; Saleh, S.; Jiahui, H.; Abdullah, S. M. S. Review of the Application of Artificial Intelligence in Education. IJICC 2020, 548–562. https://doi.org/10.53333/IJICC2013/12850.(5) Grájeda, A.; Burgos, J.; Córdova, P.; Sanjinés, A. Assessing Student-Perceived
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Hoo Kim, LeTourneau University; joshua ryan millikan, LeTourneau University; Joonwan Kim, LeTourneau University; Alan Clipperton, LeTourneau University
., & Shirvaikar, M. (2011, June), Introduction of Semiconductor Test Engineering into the BSEE Curriculum Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. 10.18260/1-2—181839. Sun, Y. S., & Zhu, Q., & Case, J. M. (2024, June), Preparing Future Semiconductor Talent in the Global Context: A Comparative Study of the Semiconductor Engineering Curriculum in the US and Taiwan Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2—4786610. Edgar, T., & Wood, J., & Fowler, J., & Xiao, H., & Lopez, F., & Hata, D., & Matar, B. (2001, June), Deploying Cross Training Of Technicians And Engineers ForProceedings of the 2025 ASEE Gulf
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Chinedu Okonkwo, The University of Texas at San Antonio; Roy Uzoma Lan; Ibukun Gabriel Awolusi, The University of Texas at San Antonio; Jiannan Cai
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Diversity
/10.1088/1742- 6596/1625/1/012018Naser, M. Z. (2022). A Faculty’s Perspective on Infusing Artificial Intelligence into Civil Engineering Education. Journal of Civil Engineering Education, 148(4). https://doi.org/10.1061/(asce)ei.2643-9115.0000065Ng, D. T. K., Lee, M., Tan, R. J. Y., Hu, X., Downie, J. S., & Chu, S. K. W. (2023). A review of AI teaching and learning from 2000 to 2020. Education and Information Technologies, 28(7), 8445–8501. https://doi.org/10.1007/s10639-022-11491-wNgo, T. Q. L., Wang, Y. R., & Chiang, D. L. (2021). Applying artificial intelligence to improve on-site non-destructive concrete compressive strength tests. Crystals, 11(10). https://doi.org/10.3390/cryst11101157Pan, Y., & Zhang, L. (2021