March 28, 2024, 4:48 a.m. | Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.18105v1 Announce Type: new
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 …

abstract arxiv commercial cs.ai cs.cl education educational language language models large language large language models llms outlook paper perspectives survey technologies tools type

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