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Using a hybrid of artificial intelligence and template-based method in automatic item generation to create multiple-choice questions in medical education: Hybrid AIG

2024-07-15

Abstract excerpt

<h4>Objectives</h4> Template-based automatic item generation (AIG) is more efficient than traditional item writing but it still heavily relies on expert effort in model development. While non-template-based AIG, leveraging artificial intelligence (AI), offers efficiency, it faces accuracy challenges. We aimed to integrate these approaches for leading to a significant rise in efficiency for AIG without sacrificing...

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Literature Corpus work
01420c24-859d-5d80-93c9-edfba45508c1
DOI
10.1101/2024.07.15.24310424
Open publication

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Using a hybrid of artificial intelligence and template-based method in automatic item generation to create multiple-choice questions in medical education: Hybrid AIGDOI 10.1101/2024.07.15.24310424
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