his teaching excellence with the Accessibility Champion Award (Fall 2022 and 2023) by the Disability and Access Office and the Disability Cultural Center. Additionally, he was honored as the Professor of the Year (2023-2024) by the Biomedical Engineering Society, UT Austin Chapter. ©American Society for Engineering Education, 2025 1 Session XXXX Integrating Biological Context into Computing Education: Enhancing Interdisciplinary Learning in Biomedical Engineering Ernesto A. B. F. Lima Oden
Ph.D. in Higher Education from The Pennsylvania State University with aminor in Educational Psychology—Applied Measurement. Her research focuses on Gender and RacialEquity in STEM Education, Learning Experiences and Outcomes for Marginalized Students, and CriticalQuantitative Research and Assessment.Debbie Huffman, North Central Texas CollegeDebbie Huffman, Dean of Instruction for Career & Technical Education (CTE) at North Central TexasCollege, holds a Master of Science in Computer Education & Cognitive Systems and a Bachelor of AppliedArts & Sciences in Applied Technology & Performance Improvement from the University of NorthTexas. She is dedicated to providing students the opportunity to positively change their lives
Paper ID #49651Learning Languages through Interactive GamingMr. Colby Edward Kurtz, Houston Christian University ©American Society for Engineering Education, 2025 1 Learning Languages through Interactive Gaming 1Colby E. Kurtz, 2Matthew Z. Blanchard, 3Marian K. Zaki 1,2 Undergraduate Cyber Engineering Students, 3Assistant Professor of Computer Science College of Science and Engineering Houston Christian University kurtzce, blanchardmz, mzaki @hc.edu
Paper ID #49655Machine learning and Vision Based Embedded Linux System EducationDr. Byul Hur, Texas A&M University Dr. B. Hur received his B.S. degree in Electronics Engineering from Yonsei University, in Seoul, Korea, in 2000, and his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Florida, Gainesville, FL, USA, in 2007 and 2011, respectively. In 2016, he joined the faculty of Texas A&M University, College Station, TX. USA, where he is currently an Associate Professor. His research interests include Mixed-signal/RF circuit design and testing, measurement automation, environmental
received her PhD in Mechanical Engineering from University of New Hampshire, USA and B.Tech [Hons.] in Ocean Engineering & Naval Architecture from Indian Institute of Technology, Kharagpur, India. Her research interests include Computational Fluid Dynamics (CFD), Numerical Analysis and Applied Mathematics, Heat Transfer Applications, Mechanical Design, Nanotechnology, HP/HT Rheology. She also has strong industrial experience as a Senior Technical Professional at Halliburton [Oil-well Cementing Research & Development].Danaii Anitzel Elizondo, Texas A&M University ©American Society for Engineering Education, 2025 The Impact of Classroom Learning in Smaller Classroom Sizes
Paper ID #49637Assistive Technologies for Learning Disabilities: A Systematic Review of Trendsand ImpactMr. Aroudra Syamantak Thakur, The University of Texas at Arlington Aroudra Syamantak Thakur is currently an undergraduate student at the University of Texas at Arlington, pursuing a BSc Honors in Computer Science with minors in Mathematics and Business Administration. His research interests include artificial intelligence (AI) and computer vision. Aroudra has experience applying various machine learning algorithms and models for human-computer interaction and assistive technologies, and he is particularly interested in
measurement. European Journal of Engineering Education. 2017;42(6):1240-1262.2. Rodriguez SL, Doran EE, Friedensen RE, Martinez-Podolsky E, Hengesteg PS. Inclusion & marginalization: How perceptions of design thinking pedagogy influence computer, electrical, and software engineering identity. International Journal of Education in Mathematics, Science and Technology. 2020;8(4).3. Luthi KT, Kar M, Macon L. The Impact of PLTL in four introductory engineering courses: improving access and opportunity for students underrepresented in STEM disciplines. Advances in Peer Led Learning. 2022; 55-71.HAIYING HUANGDr. Haiying Huang is a professor of Mechanical and Aerospace Engineering and the Director of Engineering Educationat the College of
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
Paper ID #49594The Role of Artificial Intelligence in Enhancing Classroom Learning: Ethical,Practical, and Pedagogical ConsiderationsMr. Olukayode Emmanuel Apata, Texas A&M University Olukayode Apata is a third-year Ph.D. student in Research, Measurement, and Statistics at Texas A&M University. He has a master’s degree in educational studies at the University of Southern Mississippi. He also received another master’s degree in educational evaluation from the University of Ibadan, Nigeria. He had a bachelor’s degree in physics education at Adekunle Ajasin University, Nigeria. His research interests are Artificial
Paper ID #49519Examining Educators’ Impact on Learning Environment, Technological Literacy,and Teaching Effectiveness through Integrating AI in the ClassroomBrinley Boyett, Texas A&M University Brinley Boyett is a senior at Texas A&M University, studying Computer Science with a minor in Statistics. She is passionate about education and has worked as a Supplemental Instructor at Texas A&M for the past 18 months. She aims to leverage her technical background to further educational initiatives to enhance teaching effectiveness and student technological literacy. Brinley believes in the potential of Artificial
Paper ID #49669Comparison, Design Review, and Prototype Model of Robotic Tool Changersfor Multi-Purpose Unmanned Ground Vehicle Applications: Learning ThroughIndustry PartnershipMr. Joshua Hicks-Ward, The University of Texas at San Antonio Joshua Hicks-Ward is a Graduate Student at the University of Texas at San Antonio (UTSA) and Production Manager at Renu Robotics. He received his B.S. in Physics from Southwestern University in 2019 and is currently pursuing his M.S. in Mechanical Engineering at UTSA. Mr. Hicks-Ward’s professional career has led to over four years of experience leading technical operations with three
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
Paper ID #49648Student Readiness for AI-Driven Teaching Tools: A Data-Driven PerspectiveRojan Shrestha, The University of Texas at Arlington Rojan Shrestha is an undergraduate Sophomore at University of Texas at Arlington. He is currently majoring in majoring in Computer Engineering. His research interest includes computer vision, machine learning, and artificial intelligence applications. ©American Society for Engineering Education, 2025 Student Readiness for AI-Driven Teaching Tools: A Data-Driven Perspective Rojan Shrestha Computer Engineering, The University of Texas at Arlington
Electrical and Computer Engineering Department LeTourneau University1 STEM Advancement Inc.2 AbstractThis paper discusses the influence of the mentor, Mr. Ray Holt, on mentoring practices atLetourneau University. The authors highlight both accidental and intentional elements thatenhanced student learning and provided valuable mentoring for both students and faculty. Thementor’s engineering background, including his role in designing the world’s firstmicroprocessor for the F-14 Tomcat, inspired students. The initiative began with a STEM contestengagement which follows with guest speaker series organized by Letourneau University's
-efficacy: The exercise of control. W. H. Freeman.Brown, S., Johnson, P., & Thompson, R. (2017). AI-supported authentic learning environments in engineering education. Computers & Education, 112, 1-15.Chang, L., & Peterson, M. (2020). Implementing AI tools in resource-constrained institutions. International Journal of Engineering Education, 36(4), 1205-1220.Davidson, R., Martinez, J., & Kumar, S. (2019). Longitudinal analysis of engineering student retention. Journal of Engineering Education Research, 28(2), 178-195.de Jong, T., Linn, M. C., & Zacharia, Z. C. (2013). Physical and virtual laboratories in science and engineering education. Science, 340(6130), 305-308.Freeman, S., Eddy, S. L., McDonough, M
most extensively utilized construction material, prompting an ever-growing body of research on computational methods to predict its properties under diverseconditions (Ben Chaabene et al., 2020; Muliauwan et al., 2020; Chakraborty et al., 2021).Traditional empirical formulas frequently prove inadequate when dealing with modern high-strengthor self-compacting concrete, which has more complex behavior and composition (Song et al., 2021).Consequently, artificial intelligence (AI) approaches, including ML, deep learning, and hybridensemble techniques, have gained traction as more robust alternatives for capturing nonlinearrelationships among various mix-design parameters (Ben Chaabene et al., 2020). Among thesemethods, ANNs stand out for their
FPGA platforms like ModelSim and Terasic’s DE10-Lite board. Students learn digitallogic principles, hardware interfacing, and real-world engineering skills through this interactive,application-driven approach.IntroductionDigital logic design is a cornerstone of computer engineering education, traditionally taught withlimited real-world applications. This paper introduces a structured framework for teaching digitallogic using a 32-bit floating-point processor, developed in SystemVerilog and implemented onthe DE10-Lite FPGA. The processor adheres to the IEEE 754 floating-point standard andincorporates peripherals like keypads and LCD displays for enhanced usability. By integratingtheoretical learning with practical applications, this approach
Paper ID #49493Integrating Conference Poster Presentations into a Data Science ClassDr. Matthew Fendt, Baylor University Dr. Matthew Fendt is a Senior Lecturer of Computer Science at Baylor University. His research interests include video game and app development for education, pedagogical practices, AI, and machine learning. ©American Society for Engineering Education, 2025 1 Session XXXX Integrating Conference Poster Presentations into a Data Science Class
the IndustrialEngineering (IE) project, our trainees employed an analytics process to study options in sustainablebuilding design. Decisions in the early design phase have a long-lasting impact on every pillar ofsustainability: people, planet, and prosperity. Most students think engineering is building robots, butthe IE analytics process is a generally applicable computational approach to study engineeringsystems. This training will be brought into the classroom by asking their students to consider thisengineering-related question: When an engineer works on something innovative, how do theyapproach the problem on the job or in college? The students will then learn to follow our IEanalytics process using design of experiments, machine learning
in STEM. In addition to research, Dr. Pan has successfully secured funding for educational and research initiatives, including the USDA REEU program, NSF REU program, and mini-grants from UTSA and the Howard Hughes Medical Institute. Dr. Pan’s research interests cover Sustainable Air-Ground IoT Systems, Tiny Machine Learning, Intelligent Sparse Sensing, Transient Computing and Communication, and Emerging Non-volatile Memory, contributing to advancements in IoT. His work has been widely published in leading conferences and journals. Dr. Pan’s projects are supported by esteemed agencies, such as NSF, USDA, NOAA, and TGLO, underscoring his dedication to impactful research and student success in engineering
Paper ID #49660Underwater robot and boat platforms in Embedded Systems and EngineeringTechnology Education.Dr. Byul Hur, Texas A&M University Dr. B. Hur received his B.S. degree in Electronics Engineering from Yonsei University, in Seoul, Korea, in 2000, and his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Florida, Gainesville, FL, USA, in 2007 and 2011, respectively. In 2016, he joined the faculty of Texas A&M University, College Station, TX. USA, where he is currently an Associate Professor. His research interests include Mixed-signal/RF circuit design and testing, measurement
provide an atmosphere conducive to learning. • Modern tools, equipment, computing resources, and laboratories will be checked by the PEVs.Criterion 8. Support • Sufficient number of administrative and technical staff • Adequate financial support to attract, retain, and provide for the continued professional Proceedings of the 2025 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington, Arlington, TX Copyright © 2025, American Society for Engineering Education development of a qualified faculty • Sufficient support to acquire, maintain, and operate infrastructures, facilities, and equipment.Program Criteria • Different for each
issues and may result in several benefits, includingmeaningful face-to-face engagements between faculty, students, and employers, as well as reducedtime for curriculum development2,3,4. As a process improvement initiative, Agile developmentbegan in 2001 as a set of principles used in the development of software. It was then codified andpresented as the Agile Manifesto5. The first applications of Agile in higher education logically werefrom computer science and engineering. These first applications in higher education resulted in theAgile-Teaching/Learning Methodology6 and focused on instructors quickly adapting to students’ Proceedings of the 2025 ASEE Gulf-Southwest Annual Conference
requirements and graduates' readiness. in 2011 IEEE Symposium on Computers & Informatics. 2011. IEEE.5. Boud, D. and N. Solomon, Work-based learning: a new higher education? 2001: McGraw-Hill Education (UK).6. Jollands, M., L. Jolly, and T. Molyneaux, Project-based learning as a contributing factor to graduates’ work readiness. European Journal of Engineering Education, 2012. 37(2): p. 143-154.7. Nair, C.S., A. Patil, and P. Mertova, Re-engineering graduate skills–a case study. European journal of engineering education, 2009. 34(2): p. 131-139.8. Rocio Vazquez, I., et al., Initial Observations of a Community College Microsystem Fabrication-focused Undergraduate Research Experience. Journal of
Session XXXX Incorporating Sustainability Knowledge into Construction Education Curriculum: A Case Study of Earthen Masonry Roy Lan, Chinedu Okonkwo, Ibukun Awolusi, Ph.D., and Jiannan Cai, Ph.D. School of Civil & Environmental Engineering, and Construction Management The University of Texas at San Antonio AbstractThe curriculum of any academic program is considered a crucial aspect of learning because of itsimmense contributions to the overall learning experience of students. The complex and ever-evolving needs of the world, including the physical world, make the continuous improvements ofeducational curricula vital to meet those
inadaptive learning, real-time performance feedback, and enhanced simulation tools for engineeringeducation. Despite widespread discussions about AI's role in engineering education, its practicalapplications in mechanical engineering courses remain limited and largely confined to isolatedactivities. For example, few courses integrate AI tools into their syllabi, and most use cases areconfined to optional student-driven projects or experimental course modules. Current applicationsare mostly observed in report writing, such as generating content drafts, paraphrasing sections, andformatting citations, and in computer programming for debugging, code optimization, and scriptgeneration. This paper highlights the need for more examples demonstrating AI's
networks, I observed that the front line personnel that I was hiring didn’t have what I considered to be skills that they should be bringing to the table. I began investigating why, and that led me to high school. Alas, I began my journey in Education in 2010 inhabiting the classrooms of Lovejoy High School, where my two daughters attended. I redubbed my PreCalculus course as Problem-Solving with Brooks and was also afforded the opportunity to lead an impactful Project Lead the Way (PLTW) Principles of Engineering (PoE) course, a project-based learning survey of the engineering discipline. Since the Summer of 2015 I have been privileged to work with the Texas A and M Sketch Recognition Lab (TAMU SRL) to evaluate
outlines theprogram’s development, curriculum structure, industry collaborations, and role in addressingregional agricultural challenges, providing a model for interdisciplinary agricultural education. IntroductionThis interdisciplinary program offers students online and hands-on learning along with critical-thinking experiences with advanced tools, including sensors, unmanned aerial vehicles, software,and data analytics platforms that are transforming modern agriculture. Through partnerships withindustry and ongoing faculty-student engagement, the program not only enhances students’technical expertise but also encourages innovative problem-solving approaches to addressregional agricultural challenges, such
Arlington, Arlington, TX Copyright ã 2025, American Society for Engineering Educationindustry and its operations. This year, the Electrical and Computer Engineering (ECE)department introduced a new course, Fundamentals of Semiconductors, to further enrich studentlearning. This course covers the theoretical underpinnings of how semiconductors work atquantum and atomic levels while also providing practical insights into the semiconductorindustry. To complement classroom learning, the university partnered with Local Company A, aleading company in semiconductor technology, and organized a facility tour in Tyler, TX. Thispartnership offered students first-hand exposure to industry
Paper ID #49661Proof of Concept: Offshore Workforce Development Using YouTube MethodsDr. Heidar A Malki, University of Houston - COE Heidar A. Malki is currently a Professor and chair of Engineering Technology Department at the College of Technology. He also has a joint appointment with Electrical and Computer Engineering Department at UH. He holds a PhD. degree in Electrical Engineeri ©American Society for Engineering Education, 2025 1 Session: Enhancing the Student Experience Proof of