Application and Development Prospects of Large Language Models in the Field of Education: A Survey

Abstract

This article provides a comprehensive review of the application of Large Language Models (LLMs) in the field of education. With their powerful data processing, knowledge generation, and automated feedback capabilities, LLMs have demonstrated extensive application potential in personalized learning paths, intelligent teaching assistance, educational resource optimization, and improving educational equity. Based on current academic research, we analyze the theoretical basis, application framework, and typical practical cases of LLMs in this article, and explores their contributions and challenges in educational innovation and equity. The research results indicate that LLMs perform outstandingly in improving teaching efficiency and interactivity, but face multiple challenges in application such as data privacy, model transparency, and fairness. Finally, this article proposes future research directions based on the current development status and trends of LLMs, aiming to promote the intelligent transformation and technological innovation in the field of education.