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Large Language Models for Education: A Survey and Outlook

2024-03-26 21:04:29
Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen

Abstract

The advent of Large Language Models (LLMs) has brought in a new era of possibilities in the realm of education. This survey paper summarizes the various technologies of LLMs in educational settings from multifaceted perspectives, encompassing student and teacher assistance, adaptive learning, and commercial tools. We systematically review the technological advancements in each perspective, organize related datasets and benchmarks, and identify the risks and challenges associated with deploying LLMs in education. Furthermore, we outline future research opportunities, highlighting the potential promising directions. Our survey aims to provide a comprehensive technological picture for educators, researchers, and policymakers to harness the power of LLMs to revolutionize educational practices and foster a more effective personalized learning environment.

Abstract (translated)

大语言模型的出现为教育领域带来了新的可能性和时代。这份调查论文从多个角度总结了大型语言模型(LLMs)在教育环境中的应用,包括学生和教师辅助、自适应学习和商业工具。我们系统地审查了每个角度的技术进步,组织相关数据和基准,并探讨了在教育中部署LLMs所带来的风险和挑战。此外,我们概述了未来的研究机会,强调了可能的积极方向。我们的调查旨在为教育者、研究人员和政策制定者提供全面的技术图片,以利用LLMs的力量彻底改变教育实践,促进更有效的个性化学习环境。

URL

https://arxiv.org/abs/2403.18105

PDF

https://arxiv.org/pdf/2403.18105.pdf


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