2025 ASEE Annual Conference & Exposition

Challenges and Opportunities: A Systematic Review of AI Tools in Engineering Education

Presented at Computers in Education Division (COED) Track 4.B

The integration of artificial intelligence (AI) in engineering education is transforming traditional learning environments, offering innovative approaches to enhance student engagement, personalized learning, and improved educational outcomes. This systematic literature review examines the wide range of current applications of AI in engineering education including adaptive learning platforms, intelligent tutoring systems, and AI-driven assessment tools. Articles for this review were identified using Scopus and EBSCOhost search engines. Abstracts for relevant articles were selected by a team of three researchers. Full texts of applicable articles were evaluated by the research team based on specific inclusion and exclusion criteria. Results from this literature review will summarize how AI technologies are implemented in engineering education and look at how they benefit and improve the educational experience as well as the challenges and limitations they may bring. By synthesizing key findings from recent studies this review seeks to determine the current status of AI implementation, highlight improvements to its application in the learning process, and suggests areas for future research to maximize its positive impact on engineering education for future students.

Authors

Marlee Jacobs Utah State University
Daniel Kane http://orcid.org/0000-0002-0220-9962 Utah State University [biography]

Daniel Kane is a third-year Ph.D. student in the department of engineering education at Utah State University. His research interests include spatial ability, accessibility for students with disabilities, artificial intelligence in education, and enhancing electric vehicle charging system infrastructure. Daniel has contributed significantly to the development of the Tactile Mental Cutting Test (TMCT) which is a significant advancement in assessing spatial ability for blind and low-vision populations. His research has helped inform teaching methods and develop strategies for improving STEM education accessibility. Currently, he is studying how AI tools are utilized by students across USU’s colleges to optimize their educational value. Daniel has also served as president of the ASEE student chapter at USU where he initiated outreach activities at local K-12 schools and promoted student engagement in research.
Rosemary Yahne Utah State University [biography]

Rosemary Yahne is an undergraduate student at Utah State University. She plans to graduate with a Bachelor of Science in civil engineering with a minor in geology. Her research interests include spatial ability impact on various groups in engineering.
Dr. Wade H Goodridge http://orcid.org/0000-0002-5811-7629 Utah State University [biography]

Wade Goodridge is a tenured Associate Professor in the Department of Engineering Education at Utah State University. His research lies in spatial thinking and ability, curriculum development, and professional development in K-16 engineering teaching.

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