IMPACT: A Generative AI Prompt Framework for Scaling Instructional Video Design
Abstract Generative AI can transform lectures into asynchronous learning materials, but pedagogical quality depends on rigorous prompt engineering. We developed IMPACT, a six-component prompt-engineering framework, and applied it to design a six-stage video pipeline. Trainee-faculty co-creation produced 22 pre-clerkship hematology videos and was associated with positive trainee contributor perceptions.
Authors
- Aidan Dulaney (ORCID: https://orcid.org/0000-0002-7237-8526)
- Mohit Gupta (ORCID: https://orcid.org/0000-0002-0677-4811)
- James Willig
- Alexander Wu
- Jake Aumeier
- Natalie Bavli (ORCID: https://orcid.org/0000-0003-2961-3874)
- Smrithi Upadhyayula
Institutions
- Southwestern Medical Center (US)
- Southwestern Medical Center (US)
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- Medical Science Educator
- Published
- 2026-06-09
- DOI
- https://doi.org/10.1007/s40670-026-02784-7
- Primary Topic
- Visual and Cognitive Learning Processes
- Type
- article
- Field-Weighted Citation Impact
- 0.00