This paper is in the following e-collection/theme issue:

e-Learning and Digital Medical Education (930) Serious Games for Education (192) mHealth in Medical Education and Training (127) New Methods and Approaches in Medical Education (395) Artificial Intelligence (2248) Dental Education and Training for Dentists and Dental Students (54) Generative Language Models Including ChatGPT (757)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68538, first published .
Exploring the Application Capability of ChatGPT as an Instructor in Skills Education for Dental Medical Students: Randomized Controlled Trial

Exploring the Application Capability of ChatGPT as an Instructor in Skills Education for Dental Medical Students: Randomized Controlled Trial

Exploring the Application Capability of ChatGPT as an Instructor in Skills Education for Dental Medical Students: Randomized Controlled Trial

Authors of this article:

Siyu Huang1 Author Orcid Image ;   Chang Wen1, 2 Author Orcid Image ;   Xueying Bai1 Author Orcid Image ;   Sihong Li1 Author Orcid Image ;   Shuining Wang1 Author Orcid Image ;   Xiaoxuan Wang1, 3 Author Orcid Image ;   Dong Yang1, 3 Author Orcid Image
Article Authors Cited by (7) Tweetations Metrics

Journals

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  2. Hosseini S. AI misuse and passiveness of students in medical education. Advances in Physiology Education 2025;49(4):1009 View
  3. Ahn S. Preserving Critical Thinking in the Age of Large Language Models: The Paradox of Cognitive Load and Efficiency. The Korean Journal of Medicine 2025;100(5):197 View
  4. Wang K, Guo Z. Can Learners’ Use of GenAI Enhance Learning Engagement?—A Meta-Analysis. Education Sciences 2025;15(12):1578 View
  5. Haberal M, Hançerlioğulları D. Can artificial intelligence chatbots think like dentists? A comparative analysis based on dental specialty examination questions in restorative dentistry. BMC Oral Health 2026;26(1) View
  6. Bhadila G, Bahdila D, Saber N, Alyafi D. Impact of artificial intelligence on task performance and perceived task load: a pragmatic randomized experiment. Frontiers in Education 2026;11 View
  7. Li H, Chen S, Chang B, Wang X, He Y, Xu B, Sun G, Yang C, Li G, Li S, Li G. Application of artificial intelligence in oral health management: challenges and opportunities. Frontiers in Medicine 2026;13 View