Grant Recipients
Ada Hurst, Engineering, Management Science & Engineering
Chris Rennick, Engineering, Pearl Sullivan Engineering Ideas Clinic
Nancy Nelson, Engineering, Pearl Sullivan Engineering Ideas Clinic
(Project timeline: September 2025 - April 2027)
Description
This project investigates how to enhance student learning by teaching expert integration of generative AI (GenAI) tools in early design phases. We will develop a series of in-class workshops and learning activities to help students practice responsible and effective use of AI for design tasks such as need finding, problem framing, and ideation.
Using established survey instruments and the Informed Design Teaching and Learning Matrix, we will study how AI affects student design thinking, confidence, and behaviors. Outcomes include evidence-based guidelines for instructors on incorporating AI into design courses, including best practices for activities, assessments, and reporting expectations. The project directly supports deep learning by helping students develop both design expertise and critical awareness of AI strengths and limitations. While piloted in engineering, the materials and findings will be designed for transfer to other disciplines, helping to build a campus-wide foundation for AI-enhanced design education.
Research Questions
- Development of a series of in-class learning experiences for students in which to learn about and practice effective and responsible use of GenAI tools in performing design tasks
- Development of best practices for instructors for adopting AI-tools in design courses: guidelines for developing/delivering in-class materials and activities, and designing independent student assessments and expectations for reporting AI use in the design process