U.S., Oct. 14 -- ClinicalTrials.gov registry received information related to the study (NCT07871526) titled 'AI-Generated and Rule-Based Individualized Feedback for Medical Students' Nephrology Learning' on Oct. 07.
Brief Summary: Medical education increasingly emphasizes individualized learning and formative assessment; however, providing timely and personalized feedback to students remains challenging because of limited faculty resources. Generative artificial intelligence (AI) may provide a scalable approach for generating individualized feedback based on students' learning needs, but its educational effectiveness compared with traditional feedback approaches remains uncertain.
This study is a single-center, prospective, three-arm, clu...