Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG
The hybrid AIG method transcends the traditional template-based approach by marrying the "art" that comes from AI as a "black box" with the "science" of algorithmic generation under the oversight of expert as a "marriage registrar". It does not only capitalize on the strengths of both approaches but also mitigates their weaknesses, offering a human-AI collaboration to increase efficiency in medical education.
Authors
- Yavuz Selim Kıyak (ORCID: https://orcid.org/0000-0002-5026-3234)
- Andrzej A. Kononowicz (ORCID: https://orcid.org/0000-0003-2956-2093)
Institutions
- Jagiellonian University (PL)
- Gazi University (TR)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-04-04
- DOI
- https://doi.org/10.2196/65726
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.27