A Curriculum-Embedded Two-Session AI Chatbot-Based History-Taking Practicum in Korean Medicine Diagnostics
Abstract
Background: History-taking is a core clinical competency in Korean medicine diagnostics, but conventional training methods such as peer role-play and standardized patient-based education have limitations in providing repeated, individualized, and scalable practice opportunities. This study aimed to evaluate the feasibility and educational value of a two-session AI chatbot-based history-taking practicum with automated feedback in Korean medicine diagnostics. Methods: This prospective single-arm repeated-measures educational study was conducted with fourth-year students at the College of Korean Medicine, Dongguk University, in May and June 2026. A total of 76 students participated in two chatbot-assisted history-taking sessions using dizziness and shoulder pain scenarios. Students completed surveys on baseline AI familiarity, chatbot experience, usability, and self-efficacy. Self-efficacy was assessed at three time points: before the first session, after the first session, and after the second session. Chatbot-generated feedback scores were compared between session 1 and 2 for each scenario using paired complete-case analyses. Open-ended responses were descriptively categorized. Results: Students rated the chatbot-based practicum positively in terms of active participation, perceived usefulness, accessibility, and convenience. Item-level self-efficacy analysis showed significant time effects in two domains: planning the conversation, and closing the conversation appropriately.…
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