Implementing PBL on the Credibility of AI-Based Clinical Judgments: Insights from the ARCS Model
- VernacularTitle:「人工知能による診療判断の信憑性」を課題としたPBLの実践 - ARCSモデルからの視座 -
- Author:
Yuma OTA
1
;
Yoshikazu ASADA
2
;
Yasushi MATSUYAMA
2
Author Information
- Keywords: pre-clinical medical education; artificial intelligence; ethics; problem-based learning; ARCS model
- From:Medical Education 2025;56(3):181-187
- CountryJapan
- Language:Japanese
- Abstract: With the rapid advancement of artificial intelligence technology in medicine, there is a growing demand for medical school curricula to educate students on its use in accordance with evolving legal and ethical standards. Based on previous research findings, we implemented a problem-based learning (PBL) program for fourth-year medical students-prior to their clinical clerkships-to address legal and ethical issues related to AI utilization. A novel PBL case, featuring a medical student responding to a patient who over-relies on a diagnosis from an AI-powered medical consultation app, demonstrated potential educational value, as reflected in student feedback analyzed using the ARCS model.
