The explosive growth of online education environments is generating a massive volume of data, specially in text format from forums, chats, social networks, assessments, essays, among others. It produces exciting challenges on how to mine text data in order to find useful knowledge for educational stakeholders. Despite the increasing number of educational applications of text mining published recently, we have not found any paper surveying them. In this line, this work presents a systematic overview of the current status of the Educational Text Mining field. Our final goal is to answer three main research questions: Which are the text mining techniques most used in educational environments? Which are the most used educational resources? And which are the main applications or educational goals? Finally, we outline the conclusions and the more interesting future trends.

中文翻译：

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教育中的文本挖掘

在线教育环境的爆炸性增长正在产生大量数据，特别是来自论坛，聊天，社交网络，评估，文章等的文本格式的数据。它为如何挖掘文本数据以寻找对教育利益相关者有用的知识提出了令人兴奋的挑战。尽管最近发布了文本挖掘的教育应用程序，但我们尚未找到任何对其进行调查的论文。在这一方面，这项工作对教育文本挖掘领域的当前状况进行了系统的概述。我们的最终目标是回答三个主要的研究问题：在教育环境中最常使用哪些文本挖掘技术？哪些教育资源最常用？哪些主要应用或教育目标？最后，