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

Letters to the Editor (82) e-Learning and Digital Medical Education (1698) New Methods and Approaches in Medical Education (698) New Resources for Medical Education (222) Training Tools for Medical Students (215) Generative Language Models Including ChatGPT (1700)

Published on in Vol 11 (2025)

This is a member publication of University of Bath (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72190, first published .
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Examining Multimodal AI Resources in Medical Education: The Role of Immersion, Motivation, and Fidelity in AI Narrative Learning

Examining Multimodal AI Resources in Medical Education: The Role of Immersion, Motivation, and Fidelity in AI Narrative Learning

Authors of this article:

Chris Jacobs1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Bland T. Author’s Reply: Examining Multimodal AI Resources in Medical Education: The Role of Immersion, Motivation, and Fidelity in AI Narrative Learning. JMIR Medical Education 2025;11:e72336 View
  2. Rezaei-Zadeh M, Cerbin-Koczorowska M. A research roadmap for AI opportunities in student assessment for medical education. BMC Medical Education 2025;25(1) View
  3. Zhang . Multimodal AI: PaLM-E’s Role in Vision–Language–Robotics & the Future of Efficient Fine-Tuning. Journal of Artificial Intelligence & Control Systems 2026 View
  4. Li B, Zhu Y, Su Y, Tan H, Tang D, Zhu J, Peng D. Evaluation of four-classroom integrated teaching mode in Chinese Materia Medica course education among medical undergraduate students. Frontiers in Medicine 2026;13 View