MCQGen: a large language model-driven MCQ generator for personalized learning

• Main Authors: Hang, Ching Nam, Tan, Chee Wei, Yu, Pei-Duo
• Other Authors: College of Computing and Data Science
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Large language models; Multiple-choice questions
• Online Access: https://hdl.handle.net/10356/181265
• Institution: Nanyang Technological University

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...