2025 ASEE Annual Conference & Exposition

Systematic Review of Faculty Adoption and Implementation of Artificial Intelligence in Engineering Education

This work-in-progress paper explores the literature on faculty beliefs, understanding, attitudes, teaching, and assessment practices with AI in engineering education. Recent advances and accessibility of Artificial Intelligence (AI) have increased interest in their capabilities to enhance pedagogy and learning outcomes in engineering education. Despite the increasing adoption and implementation of AI, there is a scarcity of comprehensive reviews that examine the existing body of knowledge on AI in engineering education.
Such a review could be informative by highlighting the opportunities and considerations for leveraging AI to enhance engineering education. However, the lack of a review that synthesizes the body of knowledge on the current state of AI in engineering education leaves us running in cycles with limited advancements stemming from siloed and disparate research. Our review addresses this gap by systematically identifying, evaluating, and synthesizing research on AI adoption and implementation in engineering education.
The primary research question of the review is: How has AI in engineering education been adopted and implemented by faculty? The review uses the PRISMA framework. Articles for this review were identified using a search strategy that combines relevant keywords from relevant academic databases. Our preliminary findings reveal
In continuing our review, we would employ thematic analysis for literature synthesis and present findings on challenges, motivators, and pedagogical strategies reported in the literature on engineering faculty.

Authors

Deborah Moyaki http://orcid.org/0009-0005-7441-0306 University of Georgia [biography]

Deborah Moyaki is a doctoral candidate in the Engineering Education and Transformative Practice program at the University of Georgia. She holds a bachelor’s degree in Educational Technology and is excited about the possibilities technology offers to the learning experience beyond the formal classroom setting. Her research focuses on enhancing the educational experience of engineering faculty and students by utilizing emerging technologies, including virtual reality and artificial intelligence.
Dr. Nathaniel Hunsu University of Georgia [biography]

Nathaniel Hunsu is an assistant professor of Engineering Education. He is affiliated with the Engineering Education Transformational Institute and the school of electrical and computer engineering at the university. His interest is at the nexus of the res

Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025