The integration of generative AI, such as ChatGPT and Claude, into engineering classrooms is reshaping educational practices for both students and instructors. This study investigates how student use of generative AI impacts metacognition and problem-solving strategies in an undergraduate engineering context. We conducted a two-phase experiment in an "Intro to Engineering" course. First, students completed a MATLAB exam using only built-in documentation. Following the exam, we conducted a lab where students worked through the same exam problems using ChatGPT and Claude. Screen recordings were captured in both phases to analyze problem-solving patterns and approaches with and without AI support.
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