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

Development and Evaluation of Research Methods, Instruments and Tools (811) Artificial Intelligence (AI) in Medical Education (231) Generative Language Models Including ChatGPT (813) Testing and Assessment in Medical Education (115)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65726, first published .
Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG

Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG

Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG

Authors of this article:

Yavuz Selim Kıyak1, 2 Author Orcid Image ;   Andrzej A Kononowicz2 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Journals

  1. Sommer M, Arendasy M. Automatic- and Transformer-Based Automatic Item Generation: A Critical Review. Journal of Intelligence 2025;13(8):102 View
  2. Szydlak R, Kiyak Y, Hege I, Górski S, Linglart L, Shchudrova T, Torre D, Kononowicz A. ChatGPT versus human authors: A comparative study of concept maps for clinical reasoning training with virtual patients. Medical Teacher 2026;48(4):712 View
  3. Kıyak Y, Durning S, Huwendiek S, Wagner F, Kononowicz A. Needs for clinical reasoning assessment methods and automatic question generation: An international survey. Tıp Eğitimi Dünyası 2025;24(74):73 View
  4. Basil M, Ahmed W, Hajeomar R, Strawbridge J, Lynch M, Mukhalalati B. A scoping review of the use of generative artificial intelligence tools in health profession education. BMC Medical Education 2026;26(1) View
  5. Al Shuraiqi S, AlZaabi A, Aal Abdulsalam A. Prompt Engineering Strategies for Generating Medical Case-Based MCQs with Large Language Models: A Multi-Model Comparative Study. Machine Learning and Knowledge Extraction 2026;8(2):41 View

Conference Proceedings

  1. Zhang X, Cao S, Zhu X, Jia Y, Zhou S. 2025 6th International Conference on Computers and Artificial Intelligence Technology (CAIT). Mapping Knowledge Landscapes and Emerging Trends of Generative AI in Medical Education: A Bibliometric and Visualization Analysis from 2019 to 2025 View