GPT-4 generated answer rationales to multiple choice assessment questions in undergraduate medical education.

ABSTRACT:

Background

Pre-clerkship medical students benefit from practice questions that provide rationales for answer choices. Creating these rationales is a time-intensive endeavor. Therefore, not all practice multiple choice questions (MCQ) have corresponding explanations to aid learning. The authors examined artificial intelligence's (AI) potential to create high-quality answer rationales for clinical vignette-style MCQs.

Methods

The authors conducted a single-center pre-post intervention survey study in August 2023 assessing 8 pre-clerkship course director (CD) attitudes towards GPT-4 generated answer rationales to clinical vignette style MCQs. Ten MCQs from each course's question bank were selected and input into GPT-4 with instructions to select the best answer and generate rat

SUBMITTER: Ch'en PY 

PROVIDER: S-EPMC11877964 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature