for the academic community. ©American Society for Engineering Education, 2025 1 Session XXXX Enhancing Engineering Education Through Faculty-Library Collaboration Chassidy Miles, Meranda Roy, Ana Krahmer University Libraries University of North Texas AbstractIn the rapidly evolving landscape of engineering education, academic libraries can play a criticalrole in supporting project-based learning and career development. This
Paper ID #49650Foster Engineering Identity through Collaborative Learning in Math andBasic (CLIMB) EngineeringProf. Haiying Huang, The University of Texas at Arlington Prof. Haiying Huang is a professor of Mechanical and Aerospace Engineering and the Director of Engineering Education at the College of Engineering at the University of Texas Arlington. Her research interests include design thinking pedagogy, collaborative learning, and faculty development.Dr. Paul Davidson, The University of Texas at ArlingtonAdam Castillo, The University of Texas at ArlingtonElizabeth Fleener, The University of Texas at Arlington
, Oregon. 10.18260/1-2—47644 [2] Rivera, E. J., & Calle Müller, C., & Rahat, R., & ElZomor, M. (2024, June), Empowering Future Construction Professionals by Integrating Artificial Intelligence in Construction- Management Education and Fostering Industry Collaboration Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2—47247 [3] Harris, H. J., & Kittur, J. (2024, June), Generative Artificial Intelligence in Undergraduate Engineering: A Systematic Literature Review Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--47492 [4] Gradescope. [Accessed December 31, 2024]. [5] Ahmadi, N., & White, L. L. A
1 Enhancing Teamwork Skills in Engineering Education: Iterative Development of Interactive Lecture Modules Mohammad W Mohiuddin, Jonathan Weaver-Rosen, Carlos R Corleto, Joanna Tsenn, Shadi Balawi J Mike Walker ’66 Department of Mechanical Engineering, Texas A&M University, College Station, Texas AbstractTeamwork is a fundamental skill for success in engineering education and professional practice.Engineering projects often demand collaboration across disciplines and expertise, requiring thedevelopment of competencies in team dynamics, effective communication, and conflictmanagement. Critical
propose four key recommendations for successful AIintegration in engineering education. First, faculty development programs should implementstructured mentorship programs lasting a minimum of 6 months, complemented by bi-weeklyworkshop series, community of practice development, and continuous assessment and feedbackloops. Second, institutions should leverage open-source AI platforms through consortiumpurchasing models and shared resource pools, while fostering community-developed content andcross-institutional collaboration. Third, equity-focused policies must be established, includingequipment loan programs, subsidized internet access, extended lab hours, multi-languagesupport, and comprehensive accessibility requirements. Finally, longitudinal
author plans to keep pursuing the integration ofthe teaching and reach effort and the author will continue to pursue developing educationalunderwater robotics and floating vehicles and share the lessons learned. References1. Pecen, R., Hall, T., Chalkiadakis, F., & Zora, A. (2003, November). Renewable energy based capstone design applications for an undergraduate engineering technology curriculum. In 33rd Annual Frontiers in Education, 2003. FIE 2003. (Vol. 3, pp. S1E-21). IEEE..2. Ritenour, A. P., Ferguson, C. W., Gardner, P., Banther, B. R., & Ray, J. L. (2020, June). Collaborative project-based learning capstone for engineering and engineering technology students. In
Paper ID #49571Navigating the Impact of AI in Engineering Education: Enhancing LearningOutcomes and Addressing Ethical and Assessment ChallengesMd Nazmus Sakib, University of North Texas Md Nazmus Sakib is a PhD student in the Department of Mechanical and Energy Engineering at the University of North Texas. His research focuses on microlasers in the Photonics and Micro-Device Fabrication Lab. With two years of teaching assistant experience, Sakib is passionate about teaching and is interested in enhancing engineering education and learning experiences.Prof. Maurizio Manzo, University of North Texas Dr. Maurizio Manzo is an
education curricula. Future research and efforts should focus on overcoming these challenges, refining teaching methodologies, and enhancing collaboration between academia, industry, and governmental bodies to further embed sustainability into construction education. Proceedings of the 2025 ASEE Gulf-Southwest Annual Conference 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
in STEM education.to solve real-world problems Conclusion This program serves as a catalyst for inspiring the next generation of scientists and engineers to tackle critical water challenges at both regional and global levels.. These activities foster a deeper understanding of water management issues, from addressing water scarcity to improving groundwater recharge and pollution control. Students learn to think critically, analyze data, and work collaboratively . By connecting education to environmental challenges specific to the Texas Panhandle, this initiative not only addresses local issues but also prepares students to innovate
human capability, improve safety, and push the boundaries of human-machine collaboration. With experience in software development, research, and my time in the U.S. Air Force, I strive to create technology that not only solves real-world problems but also helps people overcome personal limitations. I am driven by the belief that AI can be a powerful tool for both individual and societal advancement. ©American Society for Engineering Education, 2025 1 Section XXXX AI-Enhanced DOBOT Magician for Classroom Education: Hand Gesture Control for Hazardous
succeed in the dynamic tech landscape of today.Industry partners also benefit from access to a talented pool of future agricultural technologyexperts who are trained in the latest precision management tools and innovative practices.In alignment with the university’s broader educational mission, the ET-AG Program preparesstudents to contribute to the regional economy and advance agricultural innovation. Thisinitiative reflects a forward-thinking approach to education that emphasizes collaboration, hands-on and online experiences, and a commitment to innovative sustainability. Agriculture(Agriculture Technology) provides a prime opportunity as a field in Engineering Technology thatinvolves practical, inventive learning and real-world use of data
engineering graduates ready for R&D jobs in emerging countries? Teaching-focused industry-academia collaboration strategies. Research Policy, 2019. 48(9): p. 103837.2. Martin, R., et al., Engineering graduates’ perceptions of how well they were prepared for work in industry. European journal of engineering education, 2005. 30(2): p. 167-180.3. Oraison, H., L. Konjarski, and S. Howe, Does university prepare students for employment?: Alignment between graduate attributes, accreditation requirements and industry employability criteria. Journal of Teaching and Learning for Graduate Employability, 2019. 10(1): p. 173.4. Almi, N.E.A.M., et al. Software engineering education: The gap between industry's
, and ConstructionManagement at The University of Texas at San Antonio. His research interests and expertise are in construction safetyand health, automation and robotics, innovation and technology integration in construction, sustainable materials andinfrastructure, construction education, and workforce development.JIANNAN CAIDr. Jiannan Cai is an Assistant Professor in the School of Civil & Environmental Engineering, and ConstructionManagement at The University of Texas at San Antonio. She has extensive research experience in constructionautomation and robotics, with research expertise in sensing, computer vision, machine learning, and robotics (especiallyhuman-robot collaboration) in the area of construction and civil infrastructure
Intelligence (AI) to transform education.Dr. Robert Harold Lightfoot Jr, Texas A&M University Robert Lightfoot received his Ph.D. from Texas A&M University in Interdisciplinary Engineering, focusing on Computer Science and Engineering Education. His master’s degree is in software engineering from Southern Methodist University, and his bachelor’s degree in computer science from Texas A&M. Before joining Texas A&M, he worked at Ericsson (now Sony-Ericsson) in the network division, then DSC (Digital Switch) for the Motorola Cellular Infrastructure Group. Robert Lightfoot is now an Associate Professor of Practice at TAMU in the Computer Science department and a member of the Engineering Education Faculty
&M University BS, MS, PhD in Mechanical Engineering from Texas A&M University. Experience includes 20 years in industry as a lab director, technical manager and engineering advisor, 8 years of academic experience at the assistant and tenured associate professor level, 4.5 years as a professor of practice, Undergraduate Program Director of the J. M. Walker ’66 Department of Mechanical Engineering since June 2022, and active industry consultant. Author and contributing author of 10 patents and multiple publications/presentations at technical and engineering education conferences. Areas of expertise and research interest include, Deformation & Failure Mechanisms, Materials Science, Fracture Mechanics
University of Southern California. He received his Master of International Management from the Thunderbird School of Management (part of Arizona State University). He completed a PhD in Industrial, Systems, and Manufacturing Engineering (ISME) from Wichita State University (WSU) in Kansas. Dr. Lynch has 30 years of global industry experience, particularly aerospace. Dr. Lynch now serves as an Associate Teaching Professor in the Applied Engineering department and as an Adjunct in ISME at WSU. His research interests include Engineering Education, Leadership, Mentoring and Lean Six Sigma. ©American Society for Engineering Education, 2025 Systems
comprehensive learning that undergraduatestudents require in order to cultivate fundamental career skills such as collaboration, iteration, dataanalysis, statistical fluency, hypothesis formulation and testing, experimental design, and technicalwriting, for their future careers as scientist and engineers and pursuing higher education. MethodA collaboration between the University of California Riverside (UCR) an R-1 institution and WestTexas A&M University (WTAMU) a non-R-1 MSI-PUI, facilitated the development of thecurricular lab activities in which UCR provided droplet freezing assay device as part of an NSF-sponsored initiative, and WTAMU developed the education module for the science andengineering
Paper ID #49677Using Agile Curriculum Development to Design a Systems Engineering ProgramCurriculumDr. Paul J Componation, The University of Texas at Arlington Paul J. Componation is the Associate Dean for Graduate and Interdisciplinary Affairs in the College of Engineering at the University of Texas at Arlington. ©American Society for Engineering Education, 2025 1 Ram kSession XXXX
Arlington Dr. Victoria C. P. Chen is Professor of Industrial, Manufacturing, & Systems Engineering at The University of Texas at Arlington. She holds a B.S. in Mathematical Sciences from The Johns Hopkins University, and M.S. and Ph.D. in Operations Research from Cornell University. ©American Society for Engineering Education, 2025 1 Session XXXX Bringing College Level Engineering Research Experiences into the K-12 Classroom Kendra Zagozda, Southwest High School, Fort Worth, TX Roberto
at Arlington, Arlington, TX Copyright 2025, American Society for Engineering Education 6test is a widely utilized nonparametric method. It serves as a key alternative to the parametric t-test,providing robust results without assuming normality in the population (Shieh, Jan, & Randles,2007). ResultsThe survey was developed to assess five key constructs related to students’ experiences and attitudestowards STEM: (1) Interest in STEM, (2) Self-efficacy, (3) Collaboration, (4) AcademicEngagement, and (5) Sense of Belonging. Composite scores were generated for each construct
Paper ID #49649Integrating Peer-Led-Team Learning (PLTL) and Design Thinking to improvestudent success in Engineering StaticsProf. Haiying Huang, The University of Texas at Arlington Prof. Haiying Huang is a professor of Mechanical and Aerospace Engineering and the Director of Engineering Education at the College of Engineering at the University of Texas Arlington. Her research interests include design thinking pedagogy, collaborative learning, and faculty development. ©American Society for Engineering Education, 2025 1
Arlington. Her research interests include communication pathways affecting specific outcomes (e.g., health, educational major choice) among marginalized populations. LIWEI ZHANG Dr. Liwei Zhang serves as an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Texas at Arlington. Her research interests includes fluid and combustion physics, propulsion engineering, computational science, and engineering education. FRANK LU Dr. Lu is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Texas at Arlington. His research is in high-speed aerodynamics and propulsion, primarily in novel detonation engines.Grace Ellen Brannon, The University of
!), and dove into Telecom Engineering. Once in Telecom, my learning continued at MCI, Vartec, and Charter. ©American Society for Engineering Education, 2025 WIP: Fostering Professional Skills Development Through Application in Core Engineering Subject Courses: A Pathway to Holistic Student Development Surupa Shaw, Randy Brooks Texas A&M UniversityABSTRACTTechnical expertise alone is insufficient for career success in the evolving and competitive field ofengineering. Employers increasingly prioritize graduates who possess key professional skills suchas collaboration, communication, problem-solving, and ethical
).Furthermore, studies that focus on interdisciplinary collaborations can support the development ofcomprehensive frameworks for AI in education, helping institutions to navigate ethical, social, andpedagogical challenges (Shi & Xuwei, 2023).ConclusionThe Integration of AI into engineering education has led to a tremendous transformation in the educationalsector by promoting quality learning experiences in the classroom. This has also gone a long way inaddressing many long-standing educational challenges that have plagued teaching and learning. This studyhighlights how AI can be applied in the classroom to foster personalized learning, automated assessmentand real-time feedback, and collaborative learning among students. Teachers can leverage AI’s
],specialized certificate programs [6, 7], and university-level courses and curriculum developmentfor semiconductors [8, 9]. Efforts include both domestic single-institution programs andinternational multi-institutional collaborations [9, 10]. Depending on the type of school and thetarget audience, semiconductor education employs different formats, including modular courses,full-semester classes, specialized semiconductor tracks, and independent curricula [11]. Inengineering education, local workforce development faces significant challenges, particularly inaddressing the shortage of skilled engineers. This talent gap makes it difficult for companies,especially small to mid-sized businesses in high-demand fields like semiconductors, to find andretain
Paper ID #49439LLM-Assisted Performance Indicators for Student Outcome AssessmentDr. Rahul Sharan Renu, Austin College Dr. Renu is the Founding Director of Engineering at Austin College. He has several years of experience with ABET accreditation having seen two programs through initial accreditation and one program through re-accreditation. His research interests include investigating 1) methods to maximize student potential in engineering programs, 2) approaches to better educate K-12 students on the undergraduate engineering experience, and 3) data-driven approaches to link product design to manufacturing process design
, Arlington, TX Copyright 2025, American Society for Engineering Education cognitive skills can be crucial for academic success, especially in challenging course environments where the complexity of the material can be hindered by the size of the class. v. Classroom Learning Environment: Smaller classes often create a more collaborative and inclusive classroom environment while larger classes can create a more impersonal and competitive learning environment. Klegeris et al. [13] examined the impact of problem- based learning (PBL) in large biochemistry classes, using student surveys, attendance data, and problem-solving assessments, and found that PBL can enhance student
national committee of the American Society of Civil Engineers for curriculum redesign supporting the civil engineering body of knowledge. He is actively engaged in developing strategies for enhancing the STEM education pipeline in Texas and nationally, and has testified before the Texas Senate and House Higher Education Committees in that regard. He chaired the councils for the Texas Higher Education Coordinating Board developing statewide articulation compacts for several engineering and science programs. He chaired the Engineering Field of Study Committee for the Coordinating Board. Dr. Nelson was the primary architect of the UT Tyler Houston Engineering Center through which UT Tyler’s engineering programs are
Paper ID #49644Accidental engineer’s accidental university engagement and mentorshipDr. Hoo Kim, LeTourneau University Hoo Kim, Ph.D., P.E., is an Associate Professor in the School of Engineering and Engineering Technology at LeTourneau University. He received his B.S. and M.S. degrees from POSTECH, Pohang, South Korea, and his Ph.D. from the University of Texas at AustinJaden Schuster, LeTourneau UniversityRay Holt ©American Society for Engineering Education, 2025 Accidental engineer’s accidental university engagement and mentorship Hoo Kim1, Jaden Schuster1, Ray Holt2
-partner input,community college and 4-year university collaborations, and published workforce data, identified apressing need to develop an Engineering Technology program. To that end, SUSLA developed a2+2+2 Matriculation Model within the Engineering Technology associate of applied science degreeprogram designed as a gateway to enable early education, persistence to post-secondary credentials ofvalue, and high-quality career outcomes. Programs with similar demographics may be able to use thisas a model which aims to do four things: 1) facilitate the early engagement of students decreasing thenumber of academically underprepared learners entering college, 2) expand postsecondaryeducational opportunities to improve outcomes fostering economic