Automated Generation of Multiple-Choice Questions for Computer Science Education Using Conditional Generative Adversarial Networks

Automated Generation of Multiple-Choice Questions for Computer Science Education Using Conditional Generative Adversarial Networks

This work presents a novel perspective towards generating automated multiple-choice questions (MCQs)-a task fundamentally different due to the highly dynamic nature of computer science education, which spans several sub-domains. Taking advantage of Conditional Generative Adversarial Networks (cGANs)...

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Bibliographic Details
Main Authors:	Muhammad Shoaib, Ghassan Husnain, Nasir Sayed, Yazeed Yasin Ghadi, Masoud Alajmi, Ayman Qahmash
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Series:	IEEE Access
Subjects:	Automated MCQ generation conditional generative adversarial networks (cGANs) computer science education dataset curation educational assessment
Online Access:	https://ieeexplore.ieee.org/document/10843681/
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