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.
@article{arxiv.2403.18105,
title = {Large Language Models for Education: A Survey and Outlook},
author = {Shen Wang and Tianlong Xu and Hang Li and Chaoli Zhang and Joleen Liang and Jiliang Tang and Philip S. Yu and Qingsong Wen},
journal= {arXiv preprint arXiv:2403.18105},
year = {2024}
}