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Use of Large Language Models for Rapid Quantitative Feedback in Case-Based Learning: A Pilot Study
Carolyn Qian1, Christina Gao2, Sang-O Park1
1Harvard Medical School, Harvard University, Boston, MA 02138 USA.
Abstract:
Large language models (LLMs) may be able to deliver interactive case-based content and score student interactions with such cases. In this study, GPT-4o demonstrated a high correlation with expert scorers in the evaluation of medical students' interactions with cases. A difference between LLM scores and expert scorers was corrected through calibration.
Supplementary Information:
The online version contains supplementary material available at 10.1007/s40670-025-02343-6.
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