2026 ASEE Annual Conference & Exposition

Work in Progress (WiP): Scaffolding the Transition from Student to Engineer: A Situativist Model for AI Integration in Capstone Design

The rapid integration of Generative Artificial Intelligence (GenAI) into the engineering profession demands a parallel evolution in engineering education that moves beyond tool proficiency toward professional identity formation. This “Work in Progress” (WiP) paper details a situative pedagogical initiative designed to help students practice in the classroom the professional judgment they will exercise throughout their careers. Grounded in cognitive apprenticeship theory, we position GenAI not merely as a productivity tool but as an epistemic tool that mediates how students come to know and verify engineering knowledge. Our intervention in an interdisciplinary capstone course includes a formal AI Usage Disclosure and Certifications policy to simulate the professional liability and transparency required in industry, alongside ethics instruction and scaffolded GenAI integration in technical risk identification. Preliminary findings suggest that AI-generated errors—including hallucinated standards and implausible recommendations—serve as productive “teachable moments” that make visible the verification practices experts perform routinely. We conclude that this mentorship model is effective not because it teaches use of GenAI as a tool, but because it uses the tool's limitations to teach the essential human element of engineering judgment.

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The full paper will be available to logged in and registered conference attendees once the conference starts on June 21, 2026, and to all visitors after the conference ends on June 24, 2026

For those interested in:

  • engineering
  • undergraduate