Collection

2025 ASEE -GSW Annual Conference

Authors

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

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

Collection

2025 ASEE -GSW Annual Conference

Authors

Md Nazmus Sakib, University of North Texas; Maurizio Manzo, University of North Texas; Rattaya Chowdhury Yalamanchili, University of North Texas

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

Collection

2025 ASEE -GSW Annual Conference

Authors

Rahul Sharan Renu, Austin College

differentTailor communication to audiences, demonstrating a audiences with some audiences, showing limiteddifferent audiences deep understanding of understanding of their understanding of their their needs. needs. needs.Student Outcome 4: an ability to recognize ethical and professional responsibilities in engineering situationsand make informed judgments, which must consider the impact of engineering solutions in global, economic,environmental, and societal contexts. Performance Indicator Excellent Average Below Average

Collection

2025 ASEE -GSW Annual Conference

Authors

Surupa Shaw, Texas A&M University; Randy Brooks, Texas A&M University

!), 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

Collection

2025 ASEE -GSW Annual Conference

Authors

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

, such as writing, coding, orsolving problems. Thus, education must evolve to teach students how to use this tool effectivelyand evaluate the quality of its work. Educators should aim to incorporate AI into their classroomsin ways that help students develop these skills so that students will be better prepared tocontribute to society in the future 3 .However, there are concerns about ethical implications relating to the grey areas of AI, such asprivacy, bias, and accountability 4 . Applied specifically to education, AI’s integration riskscreating an over-reliance on external tools, potentially hindering students’ ability to recall andapply knowledge independently. Educators have also raised concerns about the potential for“academically dishonest

Collection

2025 ASEE -GSW Annual Conference

Authors

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

IntroductionGenerative AI (GenAI) has fundamentally altered the educational landscape, bringing bothadvantages and challenges. In engineering education, the rapid adoption of GenAI tools hasfacilitated learning but has also spurred a notable increase in academic dishonesty. In the wake ofthis shift researchers have been quick to examine effects. Chan [1] explored this phenomena andintroduced the concept of “AI-giarism”, describing the misuse of AI tools to bypass traditionalplagiarism detection systems through a qualitative study of over 500 students. Li [2] emphasizesin their work the growing ethical dilemmas stemming from hard to monitor usage of GenAI inassessments, ultimately calling for adaptive educational policies to address this issue. It is clearthat

Collection

2025 ASEE -GSW Annual Conference

Authors

James K. Nelson Jr. P.E., Texas A&M University System RELLIS Campus; Celeste Arden Riley, Texas A&M University - Kingsville; Jeffrey John Hatala, West Texas A&M University; Andrew Crawford, Tarleton State University; London Knight, West Texas A&M University; Victoria June Vinzant, Texas A&M University - Kingsville

ofmaking design decisions in economic, environmental, and societal contexts is emphasized from theperspectives of engineering and physical and mental health.“The Intersection of Society and Design” explicitly addresses four societal impact outcomes in ABETCriterion 3: Student Outcomes 2, 3, 4, 5, which emphasize the public health and safety impacts ofdesign, ethical decision-making, collaborative productivity as a team member, and effectivecommunication with diverse audiences [2].Increasingly professionals in all fields are called upon to present technical concepts of their disciplinesto a non-technical audience [3]. Juan Felipe Pulido wrote that I wish I’d known that being an engineer involves more than just engineering—more than

Collection

2025 ASEE -GSW Annual Conference

Authors

Thomas Franklin Hallmark, Texas A&M University

ethical considerations. Theoretical FrameworkOur analysis integrates three complementary theoretical perspectives to understand AI's role inengineering education. Building on Sweller's (1988) Cognitive Load Theory, we examine howAI tools can reduce extraneous cognitive demands in complex engineering tasks. Mayer's (2019)analysis of multimedia learning environments demonstrated that AI-supported cognitivescaffolding reduced cognitive load by an average of 35% while improving problem-solvingaccuracy by 42%. These findings align with Johnson and Smith's (2018) longitudinal study of1,200 engineering students, which found that AI-enhanced mastery experiences led to a 40%increase in student self-efficacy ratings and

Collection

2025 ASEE -GSW Annual Conference

Authors

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

innovation and technology whileanalyzing methodologies for agriculture settings. Lastly, students are given an opportunity toobserve policy and ethics in the field of smart agriculture as a means to finalize their courseworkwhile working on the completion of their research.Again, a unique challenge is present with students in that individuals may not come from anagriculture background. Thus, both undergraduate and graduate tracks are designed to help thosewith a non-agriculture background understand the field while catering to those who may alreadyunderstand agricultural core concepts. General theory and broad overview courses are embeddedwithin the program to help students capture any missing knowledge they may lack in terms ofproduction. The

Collection

2025 ASEE -GSW Annual Conference

Authors

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

through leadership training, ethical grounding, and exposure toarts and culture, ensuring our graduates are well-rounded innovators and leaders. As a work inprogress, the authors will continue efforts to conduct an effective assessment of studentoutcomes, incorporating more quantitative data, such as the number of students participating infield trips, coursework, and senior design projects. Additionally, interviews with former studentsregarding their internships and involvement will be included. A change model applicable toLeTourneau University’s business model will also be introduced and implemented. Invitation for Future CollaborationThe authors propose three key aspects for companies and educational institutions