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.
http://orcid.org/0000-0001-6959-196X
Purdue University – West Lafayette (College of Engineering)
[biography]
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