Interest in the role of large language models (LLMs) in education is increasing, considering the new opportunities they offer for teaching, learning, and assessment. In this paper, we examine the impact of LLMs on educational NLP in the context of two main application scenarios: {\em assistance} and {\em assessment}, grounding them along the four dimensions -- reading, writing, speaking, and tutoring. We then present the new directions enabled by LLMs, and the key challenges to address. We envision that this holistic overview would be useful for NLP researchers and practitioners interested in exploring the role of LLMs in developing language-focused and NLP-enabled educational applications of the future.

翻译：随着大语言模型（LLMs）为教学、学习和评估带来的新机遇，其在教育领域的作用日益受到关注。本文从两个主要应用场景——辅助与评估——出发，结合阅读、写作、口语和辅导四个维度，探讨LLMs对教育领域自然语言处理的影响。我们进一步阐述了LLMs所催生的新研究方向以及需要应对的关键挑战。我们相信，这一整体性概述将为有意探索LLMs在未来语言导向及NLP赋能教育应用开发中的作用的自然语言处理研究者与实践者提供有益参考。