aceCurriculum-Aligned Conversational AI to Support Pathology Self-Directed Learning in Preclinical Medical Students: A Crossover Randomized Pilot Study
Background Artificial intelligence (AI) is reshaping the landscape of medical education, yet the widespread adoption of general-purpose AI tools in student learning raises substantial concerns about curricular alignment, information accuracy, and the absence of pedagogical scaffolding. Objective This crossover pilot study evaluated a curriculum-aligned custom GPT that was developed to support AI-scaffolded self-directed learning (SDL), preparation that remains student-initiated but is supported by structured Soc…
Second-year medical students who prepared with a curriculum-aligned custom GPT scored higher on faculty-assessed self-directed learning documentation than with conventional resources.
This was a small single-course pilot that was not registered in a public trial registry, and delayed knowledge retention showed no significant difference in the primary analysis.
Evidence
- Peer-reviewedJMIR Medical Education2026-10-13
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Truvace Impact Record TRV-2026-2014, v1: “Curriculum-Aligned Conversational AI to Support Pathology Self-Directed Learning in Preclinical Medical Students: A Crossover Randomized Pilot Study.” Truvace, 2026-10-20. /record/TRV-2026-2014 (accessed at citation time). sha256 3c09bad85cf07a7f…
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