AI-generated biochemistry test item parameters in MST test conditions
The study's conclusions are tempered by important limitations, including its reliance on simulation-based validation rather than actual student performance data and its single-institution sample, underscoring the need for rigorous psychometric validation when integrating artificial intelligence into medical education assessment.
Authors
- Engın Karadağ (ORCID: https://orcid.org/0000-0002-9723-3833)
- Murat Polat (ORCID: https://orcid.org/0000-0001-5851-2322)
Institutions
- Khazar University (AZ)
- Anadolu University (TR)
- Akdeniz University (TR)
- Eskişehir City Hospital (TR)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-12-22
- DOI
- https://doi.org/10.1186/s12909-025-08292-3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00