Integration of ChatGPT in medical learning: An analysis of interaction and contradictions

Challenges like AI unreliability and skill gaps are contradictions that function as catalysts for expansive learning. Resolving these tensions requires systemic transformation, including formalizing prompt engineering training and redefining the educator's role from an information provider to an essential expert validator within a new collaborative practice.

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Publication Details

Journal
Medical Teacher
Published
2025-12-26
DOI
https://doi.org/10.1080/0142159x.2025.2604245
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Integration of ChatGPT in medical learning: An analysis of interaction and contradictions

Hu Rey-Heng, Cheng-Maw Ho, Wang Jann-Yuan, Po-Huang Lee et al.
Medical Teacher
Artificial Intelligence in Healthcare and Education
article

Integration of ChatGPT in medical learning: An analysis of interaction and contradictions

Hu Rey-Heng, Cheng-Maw Ho, Wang Jann-Yuan, Po-Huang Lee, Chi-Chuan Yeh, Shih-Hsuan Tai
article en

Abstract

Challenges like AI unreliability and skill gaps are contradictions that function as catalysts for expansive learning. Resolving these tensions requires systemic transformation, including formalizing prompt engineering training and redefining the educator's role from an information provider to an essential expert validator within a new collaborative practice.

Medical Teacher
National Taiwan University (TW), E-Da Hospital (TW), National Taiwan University Hospital (TW), I-Shou University (TW)
Quality Education
Openalex Percentile: Top 39%
Artificial Intelligence in Healthcare and Education
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