The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models

This chapter explores how large language models (LLMs) can be used for automated question generation and answer assessment in education, examining prompting techniques, fine-tuning methods, and human evaluation of generated questions. The work demonstrates LLMs' capabilities in generating contextually relevant questions and providing automated feedback on student responses.

In recent years, large language models (LLMs) and generative AI have revolutionized natural language processing (NLP), offering unprecedented capabilities in education. This chapter explores the transformative potential of LLMs in automated question generation and answer assessment. It begins by examining the mechanisms behind LLMs, emphasizing their ability to comprehend and generate human-like text. The chapter then discusses methodologies for creating diverse, contextually relevant questions,

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