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Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights by Shahd Alsayed is a document available to read on EtoBox.

What is Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights about?

This paper explores the use of Large Language Models (LLMs) for generating Multiple-Choice Questions (MCQs) in educational settings, highlighting their potential to streamline the question creation process for educators. A comparative analysis of Llama 2, Mistral, and GPT-3.5 reveals that GPT-3.5 generates the most effective MCQs, although there remains some reluctance among educators to adopt AI technologies. The study emphasizes the importance of prompt engineering and presents insights into the effective

Author

Shahd Alsayed

Language

EN