Using Artificial Intelligence in Clerkship Learner Assessment: A CERA Study
AI exposure was significantly associated with favorable attitudes toward AI in learner assessment, while organizational factors had no significant effect. Future studies with larger samples and longitudinal designs may clarify how institutional support and increasing AI exposure influence attitudes over time, informing best practices for AI adoption in medical education.
Authors
- Karl T Clebak (ORCID: https://orcid.org/0000-0002-0764-5659)
- Juandalyn Burke (ORCID: https://orcid.org/0000-0002-6345-7505)
- Michael Partin (ORCID: https://orcid.org/0000-0002-7496-6604)
- Alyssa Anderson (ORCID: https://orcid.org/0009-0002-5032-5586)
- Misbah Keen
- Anthony B. Dambro (ORCID: https://orcid.org/0000-0003-0165-0403)
Institutions
- University of Washington (US)
- Penn State Milton S. Hershey Medical Center (US)
Publication Details
- Journal
- Family Medicine
- Published
- 2025-11-20
- DOI
- https://doi.org/10.22454/fammed.2025.529827
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00