Automatic Generation of Medical Case-Based Multiple-Choice Questions (MCQs): A Review of Methodologies, Applications, Evaluation, and Future Directions

Automatic Generation of Medical Case-Based Multiple-Choice Questions (MCQs): A Review of Methodologies, Applications, Evaluation, and Future Directions

This paper offers an in-depth review of the latest advancements in the automatic generation of medical case-based multiple-choice questions (MCQs). The automatic creation of educational materials, particularly MCQs, is pivotal in enhancing teaching effectiveness and student engagement in medical edu...

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Bibliographic Details
Main Authors: Somaiya Al Shuraiqi, Abdulrahman Aal Abdulsalam, Ken Masters, Hamza Zidoum, Adhari AlZaabi
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Big Data and Cognitive Computing
Subjects:
automatic question generation (AQG)
case-based multiple-choice questions (MCQs)
ontology
natural language processing (NLP)
machine learning (ML)
deep learning (DL)
Online Access:https://www.mdpi.com/2504-2289/8/10/139
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