Natural Language Processing (NLP) aims to analyze the text via techniques in the computer science field. It serves the applications in healthcare, commerce, and education domains. Particularly, NLP has been applied to the education domain to help teaching and learning. In this survey, we review recent advances in NLP with a focus on solving problems related to the education domain. In detail, we begin with introducing the relevant background. Then, we present the taxonomy of NLP in the education domain. Next, we illustrate the task definition, challenges, and corresponding techniques based on the above taxonomy. After that, we showcase some off-the-shelf demonstrations in this domain and conclude with future directions.

翻译：自然语言处理（NLP）旨在通过计算机科学技术对文本进行分析，其在医疗、商业和教育等领域均有应用。特别地，NLP已被应用于教育领域以辅助教学与学习。本综述聚焦于NLP在解决教育领域相关问题方面的最新进展。具体而言，我们首先介绍相关背景知识，随后提出NLP在教育领域的分类体系。接着，基于上述分类体系阐述任务定义、挑战及相应技术。在此基础上，展示该领域现有的典型应用案例，并总结未来发展方向。