2026 ASEE Annual Conference & Exposition

Exploring the Role of Generative AI Tools in Shaping Learning Behaviors in Engineering Education

Presented at Computers in Education (CoED): AI in Education (4 of 9) -- T308A

This Work-in-Progress study explores how engineering students use generative AI tools such as ChatGPT, Claude, and Gemini in coursework and studying, with a focus on learning behaviors and help-seeking practices. While prior research has documented increasing AI adoption in higher education, less is known about how students and instructors describe everyday behavioral changes associated with AI use in authentic learning contexts.
Using a qualitative interview approach, this study draws on semi-structured interviews with undergraduate engineering students and an engineering instructor. Thematic analysis was conducted to examine patterns in AI use, perceived benefits and risks, and shifts in study habits and help-seeking behavior. Preliminary findings suggest that students frequently use AI as an on-demand, nonjudgmental source of support to clarify concepts, debug code, and maintain momentum, which can increase efficiency, reduce stress, and build confidence. At the same time, AI use appears to reshape traditional help-seeking behaviors, including reduced reliance on office hours and in-class questions. Instructor perspectives highlight both risks of over-reliance and the potential value of AI as a supportive learning tool when used intentionally and in context.

Authors
  1. Mr. Tanzeel Rahman University of South Florida [biography]
  2. Dr. Dhinesh Balaji Radhakrishnan Orcid 16x16http://orcid.org/0000-0001-6959-196X Purdue University – West Lafayette (College of Engineering) [biography]
  3. Dr. Chris S Ferekides University of South Florida [biography]
Download paper (440 KB)

Are you a researcher? Would you like to cite this paper? Visit the ASEE document repository at peer.asee.org for more tools and easy citations.

» Download paper

« View session

For those interested in:

  • 1st Generation
  • 2 Year Institution
  • Academia-Industry Connections
  • Advocacy and Policy
  • Broadening Participation in Engineering and Engineering Technology
  • computer science
  • engineering
  • engineering technology
  • Faculty
  • Graduate
  • information technology
  • Pre-College
  • professional
  • Socio-Economic Status
  • transfer
  • undergraduate