AI-generated biochemistry test item parameters in MST test conditions
Abstract Background This study investigated whether ChatGPT 4o could accurately estimate the difficulty of medical assessment items by comparing its predictions with empirically-derived parameters from multistage testing simulations. Methods Using a hybrid simulation-validation design, the researche...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BMC
2025-12-01
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| Edice: | BMC Medical Education |
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| On-line přístup: | https://doi.org/10.1186/s12909-025-08292-3 |
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