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2025 ASEE -GSW Annual Conference

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Bonnie S. Boardman, The University of Texas at Arlington

Paper ID #49549Visualizing and Identifying Patterns of Student Flow Through UndergraduateEngineering ProgramsDr. Bonnie S. Boardman, The University of Texas at Arlington Bonnie Boardman is the Undergraduate Program Director and a Professor of Instruction in the Industrial and Manufacturing Systems Engineering Department at The University of Texas at Arlington. Her primary research interests are in the engineering education and resource planning disciplines. ©American Society for Engineering Education, 2025 1

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2025 ASEE -GSW Annual Conference

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Shadi Balawi, Texas A&M University

Baseline and Study Group. Summary and ConclusionsShort class interventions do not consume a lot of class time but their impact on student learningoutcome in the Materials and Manufacturing Selection in Design course were measured and showeda statistically significant improvement with more than 95% confidence. Students’ engagement with ahands-on experience helped students understand hard concepts of cold working, annealing,temperature, and time and their impact on the physical material behavior. References1. Balawi, S., and Pharr, M. (2024, March), Experiential Learning Utilizing Class and Lab Demos in a Material Science and Manufacturing Course Paper

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2025 ASEE -GSW Annual Conference

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Aroudra Syamantak Thakur, The University of Texas at Arlington

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, Abdul Hamid et al. (2018) explored engagement prediction by manpower, including Healthcare, Construction, Entertainment, Computer Conference (EDUCON), Mar. 2022, doi: https://doi.org/10.1109/educon52537.2022.9766690. using AI-assisted facial expression detection. Their model used the Bag of • Ovidiu Andrei Schipor, S. G. Pentiuc, and M. D. Schipor

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2025 ASEE -GSW Annual Conference

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Olukayode Emmanuel Apata, Texas A&M University; John O Ajamobe, Texas A&M University; Segun Timothy Ajose; Peter Oluwaseyi Oyewole, Kent State University, Kent; Grace Iyinoluwa Olaitan

/10.55529/jaimlnn.36.23.28Akavova, A., Temirkhanova, Z., & Lorsanova, Z. (2023). Adaptive learning and artificial intelligence inthe educational space. E3S Web of Conferences. https://doi.org/10.1051/e3sconf/202345106011Alsariera, Y., Baashar, Y., Alkawsi, G., Mustafa, A., Alkahtani, A., & Ali, N. (2022). Assessment andevaluation of different machine learning algorithms for predicting student performance. ComputationalIntelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/4151487Altaleb, H., Mouti, S., & Beegom, S. (2023). Enhancing college education: An AI-driven adaptivelearning platform (ALP) for customized course experiences. 2023 9th International Conference onOptimization and Applications (ICOA), 1–5. https://doi.org

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Rojan Shrestha, The University of Texas at Arlington

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Health, Volume 28, 2023, 100395, ISSN 2352-6483, doi: 10.1016/j.smhl.2023.100395 for successful implementation of AI in educational systems. P = (K × U)/2                              (1) C = 5 - (D + R + S + L)/4              (2) educational initiatives aimed at increasing AI literacy could be effective in [6] Z. Xiong, C. Wang, Y. Li, Y. Luo and Y. Cao, "Swin-Pose: Swin Transformer Based Human Pose Estimation," 2022 IEEE where Where improving student perceptions. 5th

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2025 ASEE -GSW Annual Conference

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Mengqi Monica Zhan, University of Texas at Arlington; Grace Ellen Brannon, The University of Texas at Arlington; Liwei Zhang, The University of Texas at Arlington; Frank K. Lu, The University of Texas at Arlington

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degree plan choices: A qualitative study with engineering and communication students," submitted to the International Communication Association's Annual Conference, 2025.6. E. L. Deci and R. M. Ryan, "Self-determination theory," in Handbook of Theories of Social Psychology, vol. 1, pp. 416-436, 2012.7. M. S. Eickholt, "The effect of superiors' mentoring on subordinates' organizational identification and workplace outcomes," Master’s Thesis, West Virginia University, 2018.8. K. Kricorian, M. Seu, D. Lopez, and others, "Factors influencing participation of underrepresented students in STEM fields: Matched mentors and mindsets," International Journal of STEM Education, vol. 7, no. 16, 2020.9. S. L. Kuchynka, A. E

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2025 ASEE -GSW Annual Conference

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Thomas Franklin Hallmark, Texas A&M University

a 28% improvement in persistence throughchallenging coursework.Lave and Wenger's (1991) Situated Learning Theory provides the third theoretical pillar, asemphasized in Brown et al.'s (2017) research showing how AI-supported authentic learningenvironments increased student engagement by 45% and improved transfer of theoreticalknowledge to practical applications by 38%. The integration of these theories creates a robustframework for understanding how AI tools can simultaneously reduce cognitive barriers, buildstudent confidence, and provide authentic learning experiences.Figure 1 illustrates the integration of these theoretical perspectives, demonstrating how theywork together to support comprehensive learning outcomes

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2025 ASEE -GSW Annual Conference

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Oliver Cole Harrison, Wichita State University; Adam Carlton Lynch, Wichita State University; Ridge Daniel Towner, Wichita State University

. Craven, F. W., & Slatter, R. R. (1988). An overview of advanced manufacturing technology. Applied ergonomics, 19(1), 9-16. 3. Vichare, P., Nassehi, A., Flynn, J. M., & Newman, S. T. (2018). Through life machine tool capability modelling. Procedia Manufacturing, 16, 171-178. 4. Adeleke, A. K., Montero, D. J. P., Olu-lawal, K. A., & Olajiga, O. K. (2024). Statistical techniques in precision metrology, applications and best practices. Engineering Science & Technology Journal, 5(3), 888-900. 5. Hartikainen, S., Rintala, H., Pylväs, L., & Nokelainen, P. (2019). The concept of active learning and the measurement of learning outcomes: A review of research in engineering higher education

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2025 ASEE -GSW Annual Conference

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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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The University of Texas at Arlington, Arlington, TX Copyright © 2025, American Society for Engineering Education 10 AcknowledgmentWe would like to acknowledge the Klesse College of Engineering and Integrated Design (KCEID)and the Office of Sustainability at The University of Texas at San Antonio (UTSA) for supportingthis project through the KCEID Incentive Opportunity Award. Any opinions, findings, conclusions,or recommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of UTSA. ReferencesAbioye, S. O., Oyedele, L

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2025 ASEE -GSW Annual Conference

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Alexander Hernandez, West Texas A&M University; Sanjoy Bhattacharia, West Texas A&M University; Sarah Petters, University of California, Riverside; Markus Petters, University of California, Riverside

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diverse earth science learners. Journal of Geoscience Education, 65(4), 407–415.2. Miller, A. J., Brennan, K. P., Mignani, C., Wieder, J., David, R. O., and Borduas-Dedekind, N. Development of the drop Freezing Ice Nuclei Counter (FINC), intercomparison of droplet freezing techniques, and use of soluble lignin as an atmospheric ice nucleation standard. Atmospheric Measurement Techniques., 14, 3131−3151, 2021.3. Mahant, S., Yadav, S., Gilbert, C., Kjærgaard, E. R., Jensen, M. M., Kessler, T., Bilde, M., & Petters, M. D. (2023). An open-hardware community ice nucleation cold stage for research and teaching. HardwareX, 16.4. Hiranuma, N., Augustin-Bauditz, S., Bingemer, H., Budke, C., Curtius, J., Danielczok, A., Diehl, K

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2025 ASEE -GSW Annual Conference

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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

Sustainability at The University of Texas at San Antonio (UTSA) for supportingthis project through the KCEID Incentive Opportunity Award. We are also grateful to the EarthenConstruction Initiative (ECI) and the entire team for their support, particularly for providing thematerials used in this study. Any opinions, findings, conclusions, or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of UTSA. ReferencesAbraham, Y. S. (2020). Importance of Active Learning in an Undergraduate Course in Construction Scheduling. ASEE Virtual Conference.Arik, S., & Yilmaz, M. (2020). The Effect of Constructivist Learning Approach and Active Learning on

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2025 ASEE -GSW Annual Conference

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Kendra Zagozda, Fort Worth ISD; Roberto Wheelock; Raziye Aghapour, The University of Texas at Arlington; Soulmaz Rahman Mohammadpour, The University of Texas at Arlington; Jaivardhan Sood, The University of Texas at Arlington; Erick C. Jones, The University of Texas at Arlington; Victoria C. P. Chen, The University of Texas at Arlington

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potential, respectively,from ATHENA. The current paper describes the implementation of the DACE process for the Summer2024 project, some findings, and the lesson plans developed by Zagozda to share more broadly to theASEE Community. MethodsAs described in Thomason et al.2, the DACE process provides an approach that middle/high schoolteachers can follow and translate to their classrooms. As a brief summary, DACE consists of thefollowing steps: 1. Calibration of the computer model(s) for the application of interest. 2. Design experiments to organize a set of computer model input parameter settings. 3. Execution of the computer model(s) to generate performance metric outputs. 4

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2025 ASEE -GSW Annual Conference

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Matthew Kuester, University of Mary Hardin-Baylor

Laboratory Course Development Story Matthew S. Kuester Computer Science, Engineering, and Physics Department University of Mary Hardin-Baylor AbstractFluid mechanics laboratory is a common component of mechanical engineering curricula, becausehands-on experiments allow students to experience key fluid mechanics principles (such as fluidstatics, Bernoulli’s equation, and conservation of energy) in a meaningful way. Establishing a newlaboratory course provides a unique set of challenges (building and selecting new equipment) andpossibilities (creating engaging, practical learning experiences for students).This paper

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2025 ASEE -GSW Annual Conference

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Nathan Jackson, University of New Mexico; Pil Kang, University of New Mexico

survey indicate that industrymembers feel there are areas where academic graduate education falls short of preparing students forindustrial jobs. Future results will evaluate student experience and learning in both courses andcompare the results to students with and without internship experience. AcknowledgementsThe authors would like to thank Dr. Bernardo Martinez-Tovar and everyone at the ManufacturingTraining and Technology Center (MTTC) cleanroom for their assistance. The research wassponsored by the National Science Foundation Division of Graduate Education award number2325367. References1. Borah, D., K. Malik, and S. Massini, Are

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2025 ASEE -GSW Annual Conference

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Lance Leon Allen White, Texas A&M University; Karan Watson P.E., Texas A&M University

Academic Assignments: Policy Implications from a Systematic Review of Student and Teacher Perceptions," Massachusetts Institute of Technology, 2024.[3] K. Shryock, K. Watson, L. White, and T. Balart, "Developing a Model to Assist Faculty with Taming the Next Disruptive Boogeyman [InPress}," Available at SSRN 4699941, 2024.[4] S. Amani et al., "Generative AI Perceptions: A Survey to Measure the Perceptions of Faculty, Staff, and Students on Generative AI Tools in Academia," arXiv preprint arXiv:2304.14415, 2023.[5] L. White, T. Balart, S. Amani, K. J. Shryock, and K. L. Watson, "A preliminary exploration of the disruption of a generative ai systems: Faculty/staff and student perceptions of

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2025 ASEE -GSW Annual Conference

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Pedro Cordeiro Povoa Cupertino, Wichita State University; Adam Carlton Lynch, Wichita State University

. https://www.researchgate.net/publication/262676809_A_Study_on_The_Development_Of_Key_Performance_I ndicators_KPIs_at_an_Aerospace_Manufacturing_Company 𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝐷𝑒𝑓𝑒𝑐𝑡𝑖𝑣𝑒 𝑃𝑟𝑜𝑑𝑢𝑐𝑡𝑠𝐷𝑒𝑓𝑒𝑐𝑡𝑖𝑣𝑒 𝑃𝑟𝑜𝑑𝑢𝑐𝑡𝑠 = 𝑥 1000 [5] Westgard, J. O., and Westgard, S. A. "Establishing Evidence-Based Statistical Quality Control Practices." 𝑇𝑜𝑡𝑎𝑙 𝑈𝑛𝑖𝑡𝑠 𝑀𝑎𝑛𝑢𝑓𝑎𝑐𝑡𝑢𝑟𝑒𝑑

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2025 ASEE -GSW Annual Conference

Authors

Ahmed Hasan, University of New Mexico; Alex V Maynes

- 90° ~ +90° 320°/s J2 0° ~ +85° 320°/s J J J3 - 10° ~ +90° 320°/s J4 0° 0°/s J Table 4. DOBOT motion range and specifications 9 Figure 12. DOBOT specifications 9The primary challenges encountered involved the inverse kinematics calculations and identifyingthe initial Python import requirements. The inverse kinematics posed significant delays in thedevelopment of the prediction algorithm due to the dynamic

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2025 ASEE -GSW Annual Conference

Authors

Sivaganeshwar Subramaniam, Wichita State University; Adam Carlton Lynch, Wichita State University

paperimproves C-UAS technology in addition to highlighting the necessity of a curiosity-driveninnovation and a structured system engineering framework to address complex challenges within theaerospace domain. Pilot studies and partnership between the defense industry and academicinstitutions will be key in the integration of aerospace and cybersecurity research, to validate theperformance of the C-UAS under real-world conditions. References1. Gorlewicz, J. 1., & Jayaram, S. (2020). Instilling curiosity, connections, and creating value in entrepreneurial minded engineering: Concepts for a course sequence in dynamics and controls. Entrepreneurship Education and Pedagogy, 3(1), 60-85. https

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2025 ASEE -GSW Annual Conference

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Catherine Elisabeth Lugo, UT Arlington Research Experience for Teachers - Fort Worth ISD; Meribah Marie Treadway, The University of Texas at Arlington

‭Mathematics Teacher‬ ‭ artin High School STEM Academy, Arlington ISD‬ M ‭Abstract‬‭ s part of UT Arlington’s Research Experience for Teachers (RET) in Engineering and Computer‬A‭Science program, K-12 STEM teachers participated in research with the UTA faculty and graduate‬ ‭students with the goal to translate this research experience into classroom activities that will broaden‬ ‭the student’s awareness of participation in computing and engineering pathways. High school‬ ‭teachers C. Lugo from Fort Worth ISD and M. Treadway from Arlington ISD researched with Dr. K.‬ ‭Hyun, Civil Engineering, UT Arlington and graduate students, A. Imran, and M

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2025 ASEE -GSW Annual Conference

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Hoo Kim, LeTourneau University; joshua ryan millikan, LeTourneau University; Joonwan Kim, LeTourneau University; Alan Clipperton, LeTourneau University

. Texas Semiconductor Leadership. Texas Economic Development, Texas Governor’s Office. Accessed: Jan. 1, 2024. [Online]. Available: https://gov.texas.gov/business/page/texas-semiconductor-leadership2. Ash, A. J., & Stine, J. E., & Dyke, E., & Hu, J. (2024, June), Board 422: What Does It Take to Implement a Semiconductor Curriculum in High School? True Challenges and The Teachers’ Perspectives Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2—470123. Adams, S., & Vargas, C. E., & Hynes, M. M., & Douglas, K. A., & Bermel, P., & Ely, D. R., & Grisez, H. J. (2024, June), Evaluation of High School Semiconductor and Microelectronics Summer Program

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2025 ASEE -GSW Annual Conference

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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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Paul J Componation, The University of Texas at Arlington

directly by corporate training and theengineering leadership teams. The original hybrid delivery format using 8-week course deliveryschedules was also found to only be limited in effectiveness. A fully online asynchronous 14-weekcourse delivery schedule was found to be more effective, although this was not what was reportedduring the initial stakeholder surveys. Finally, the hiring of a single, well-qualified recruiter/advisorhas been valuable. Working professionals prefer to have a single point of contact on the programrather than being required to contact numerous university offices for questions on applying,registering, and financing their programs.Bibliography 1. Kamat, V., & Sardessai, S. (2012). Agile Practices in Higher Education: A

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2025 ASEE -GSW Annual Conference

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Sandipon Chowdhury, West Texas A&M University; Swastika Bithi, West Texas A&M University

Chowdhury1, Nathan Howell1 , Masoumeh Ozmaeian1, Mark Garrison2, Li Chou1, Theresa Rogers3, and Swastika S. Bithi1 1 College of Engineering 2 Terry B. Rogers College of Education and Social Sciences West Texas A&M University 3 Canyon High School AbstractThis study takes a hands-on approach to inspire middle and high school students in the TexasPanhandle about the fascinating world of water science and environmental engineering. By delvinginto soil

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2025 ASEE -GSW Annual Conference

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Kenneth R. Leitch P.E., West Texas A&M University; Colton Atkins, West Texas A&M University; Audrey Meador, West Texas A&M University

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., Semmens, K., Thompson, R.E. "Commercial aquaponics production and profitability: Findings from an international survey." Aquaculture, 2015, 435, ISSN 0044-8486. https://doi.org/10.1016/j.aquaculture.2014.09.023.4. Somerville, C., Cohen, M., Pantanella, E., Stankus, A., Lovatelli, A. "Small-scale aquaponic food production: Integrated fish and plant farming." FAO Fisheries and Aquaculture Technical Paper, 2014.5. Lennard, W. A.; Goddek, S. Chapter 5 - aquaponcs: The baics. In Aquaponics food production systems, Goddek, S., Joyce, A., Kotzen, B., Burnell, G. M. Eds.; Springer, 2019.6. Kloas, W., Groß, R., Baganz, D., Graupner, J., Monsees, H., Schmidt, U., Staaks, G., Suhl, J., Tschirner, M., Wittstock, B., Wuertz, S., Zikova, A

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2025 ASEE -GSW Annual Conference

Authors

Surupa Shaw, Texas A&M University; Danaii Anitzel Elizondo, Texas A&M University

, increased active learning? Intendedand enacted teaching strategies in smaller classes. Active Learning in Higher Education, 20(1), pp.51-62.11] Elson, R.J., Gupta, S. and Krispin, J., 2018. Students' Perceptions of Instructor Interaction, Feedback, and CourseEffectiveness in a Large Class Environment. Journal of Instructional Pedagogies, 20.12] Rivas, S.F., Saiz, C. and Ossa, C., 2022. Metacognitive strategies and development of critical thinking in highereducation. Frontiers in Psychology, 13, p.913219.13] Klegeris, A. and Hurren, H., 2011. Impact of problem-based learning in a large classroom setting: studentperception and problem-solving skills. Advances in physiology education, 35(4), pp.408-415.14] Grasha, A. F. , 2002. The Dynamics of One-on

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Amir Karimi, The University of Texas at San Antonio

, ID #: 16508, June 26-29, 2016, New Orleans, LA.9. Manteufel, R. and Karimi, A, 2021, “Broad Faculty Participation in Course-level Evaluation of Student Outcomes Supporting Continuous Improvement of an Undergraduate Engineering Program,” Proceedings of 2021 ASEE- GSW S Section Virtual Annual Conference, Paper ID #35144, March 202110. Karimi, A.,2021, and Manteufel, R.D., “Preparation of Documents for ABET Accreditation during the COVID-19 Pandemic,” Proceedings of 2021 ASEE-GSW Section Virtual Annual Conference, Paper ID #35113, March 2021AMIR KARIMIAmir Karimi is a Professor of Mechanical Engineering at The University of Texas at San Antonio (UTSA). He receivedhis Ph.D. degree in Mechanical Engineering from the University of

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2025 ASEE -GSW Annual Conference

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Brinley Boyett, Texas A&M University; Robert Harold Lightfoot Jr, Texas A&M University

learning environment, technological literacy, and teachingeffectiveness, while also addressing its potential challenges. Through continued research andcollaboration, we hope to empower educators and students to navigate the evolving role of AI inthe classroom effectively.References [1] K. He, M. Jiao, and Z. Liu, “The Promotion of Maker Education to Traditional Education,” Dec. 2021, doi: https://doi.org/10.1109/eitt53287.2021.00027. [2] N. Spyropoulou and Achilles Kameas, “STEAM educator, one educator who does it all? An investigation of educators’ perceptions regarding the definition of STEAM educators’ job profile(s),” pp. 1–6, Jun. 2023, doi: https://doi.org/10.23919/eaeeie55804.2023.10182167. [3] S. Kurt, “How do teachers

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Authors

Heidar A Malki, University of Houston - COE

.[2] Singh S, Suragimath G, Varma S, Zope SA, Mashalkar VS, Kale AV, Sr A. YouTube Videos: ALearning Tool for Periodontology Education. Cureus. 2024 Dec 19;16(12):e76049. doi:10.7759/cureus.76049. PMID: 39834979; PMCID: PMC11743747. AppendixYouTube Channels developmentThe process of creation of YouTube channels involved several key steps that combined technicalorganization and continuous collaboration with industry experts and students. The Six YouTubechannels are: 1. Offshore Mooring Systems: (https://www.youtube.com/@OFFSHOREMOORINGSYSTEMS) 2. Heavy Marine Transport Vessels & Floatovers: (https://www.youtube.com/@HEAVYMARINETRANSPORTVESSELS) 3. Offshore Oil & Gas Field

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2025 ASEE -GSW Annual Conference

Authors

Hoo Kim, LeTourneau University; Jaden Schuster, LeTourneau University; Ray Holt

-2—161335. Edalgo, S., & High, K. A., & Lichtenstein, G., & Lee, C. M., & Main, J. B. (2021, July), Exploring How FacultyMentoring Influences Faculty Productivity Paper presented at 2021 ASEE Virtual Annual Conference ContentAccess, Virtual Conference. 10.18260/1-2—371446. Bilen-Green, C., & Green, R. A., & McGeorge, C., & Birmingham, E. J., & Burnett, A. (2013, June), MentoringPrograms Supporting Junior Faculty Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta,Georgia. 10.18260/1-2--222837. Mendez, S. L., & Conley, V. M., & Haynes, C. L., & Gerhardt, R. A., & Tygret, J. (2018, June), The IMPACTMentoring Program: Exploring the Benefits of Mentoring for Emeriti Faculty

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2025 ASEE -GSW Annual Conference

Authors

Sandipon Chowdhury, West Texas A&M University; Swastika Bithi, West Texas A&M University

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Chou1, Theresa Rogers3, and Swastika S. Bithi1 1 College of Engineering 2 Terry B. Rogers College of Education and Social Sciences West Texas A&M University 3 Canyon High School AbstractThis initiative transforms STEM education by engaging 6–12 grade students in the TexasPanhandle with hands-on tools focused on groundwater, aquifers, water quality, and waterquantity. Teachers collaborate directly with the program to implement in-class activities, organizescience and