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TRUVACE RECORD VERSION
record: TRV-2026-2014
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-10-20T10:43:11.394698Z
status: published
lens: g_space
sector: education
headline: Curriculum-Aligned Conversational AI to Support Pathology Self-Directed Learning in Preclinical Medical Students: A Crossover Randomized Pilot Study
dek: 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…
gain_title: 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.
problem_title: (none)
trace_subject: (none)
gain_reading: 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.
gain_evidence: Students using the curriculum-aligned custom GPT achieved significantly higher SDL rubric scores (10.3 vs. 9.4 out of 12 | use of curriculum-aligned custom GPT was associated with higher faculty-assessed SDL documentation and small group discussion performance
problem_reading: (none)
problem_evidence: (none)
quick_read: Researchers at the University of South Carolina's Floyd School of Medicine tested a custom GPT built around the course curriculum and guided by Socratic prompting. Forty-four second-year students prepared for two pathology small group discussions, using the tool for one case and ordinary resources for the other.

The results suggest that structured, curriculum-matched AI may help students prepare more effectively than unguided study. The evidence is preliminary, though: this was a small, single-course pilot, and knowledge retention later on showed no significant difference in the primary analysis.
limitation: 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.
tag: Evidence-backed gain
key_points: The study used a crossover design in which each student prepared one case with the custom GPT and one with conventional resources. | The two cases were Cushing's disease and prostate cancer, discussed in faculty-led pathology small groups. | SDL rubric scores averaged 10.3 with the custom GPT versus 9.4 out of 12 without it, a mean difference of 0.9. | Delayed knowledge retention did not differ significantly in the primary analysis.
rundown: The tool was designed to address concerns that general-purpose AI can stray from the curriculum, give inaccurate information, and lack pedagogical scaffolding. It used structured Socratic prompting while keeping preparation student-initiated.

Faculty rated students' self-directed learning documentation forms and their small group discussion performance using standardized rubrics. Participation was voluntary and took place at a single medical school.

The authors call for larger, multisite studies of curriculum-aligned AI tools. They also recommend prospective registration for future trials, since this pilot was not registered.
sources:
- peer_reviewed | JMIR Medical Education | https://doi.org/10.2196/102908 | 2026-10-13
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