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

e-Learning and Digital Medical Education (988) Serious Games for Education (197) New Methods and Approaches in Medical Education (436) mHealth in Medical Education and Training (140) Artificial Intelligence (2437) Dental Education and Training for Dentists and Dental Students (56) Generative Language Models Including ChatGPT (871)

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 (13) Tweetations Metrics

Journals

  1. Dasa D, Board M, Rolfe U, Dolby T, Tang W. Evaluating AI-driven characters in extended reality (XR) healthcare simulations: A systematic review. Artificial Intelligence in Medicine 2025;170:103270 View
  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
  8. Maes M, Van Gerven J, Willaert R, Jacobs R. Augmented and virtual reality in dental and oral and maxillofacial surgery education: a systematic review with a taxonomy of training technologies. BMC Medical Education 2026;26(1) View
  9. Lai N, Lim Y, Win M, Bhargava P, Thomas P, Ong Q. The Effectiveness of Artificial Intelligence in Undergraduate Health Professions Education: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR Medical Education 2026;12:e88933 View
  10. Veerabhadrappa S, Vadivel J, Yadav S, Jain V, Marya A, Selvaraj S. Effectiveness of ChatGPT-assisted and drawing-based learning in enhancing understanding of intraoral radiographic anatomy among dental students: a comparative study. BMC Oral Health 2026 View
  11. Hasan S, Ahmed A, Ismail F. The Evolving Role of AI in Simulation-Based Medical Education: A Narrative Review. Advances in Medical Education and Practice 2026;Volume 17:1 View
  12. Ma X, Liu X, Sun H. The effectiveness of GAI-assisted teaching methods in medical education: a systematic review and meta-analysis. Frontiers in Public Health 2026;14 View
  13. Nikolopoulos A, Karalis V. Implementation of Generative AI in Biomedical Research and Healthcare. Applied Biosciences 2026;5(2):34 View