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.

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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
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article

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

Yavuz Selim Kıyak, Andrzej A. Kononowicz
5 citations
JMIR Formative Research
Artificial Intelligence in Healthcare and Education
3.27
article

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

Yavuz Selim Kıyak, Andrzej A. Kononowicz
article en
5 citations

Abstract

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.

JMIR Formative ResearchVol. 9
Jagiellonian University (PL), Gazi University (TR)
Quality Education
Openalex Percentile: Top 8%
Artificial Intelligence in Healthcare and Education
3.27
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Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG — Yavuz Selim Kıyak, Andrzej A. Kononowicz · JMIR Formative Research (2025) | TGRS Research Map | TGRS