MCQGen: A Large Language Model-Driven MCQ Generator for Personalized Learning

In the dynamic landscape of contemporary education, the evolution of teaching strategies such as blended learning and flipped classrooms has highlighted the need for efficient and effective generation of multiple-choice questions (MCQs). To address this, we introduce MCQGen, a novel generative artif...

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Bibliographic Details
Main Authors: Ching Nam Hang, Chee Wei Tan, Pei-Duo Yu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10577164/
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