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.

在线教育环境的爆炸性增长正在产生大量的数据，尤其是来自论坛、聊天、社交网络、评估和论文等以文本格式呈现的数据，如何挖掘文本数据以找到对教育相关人士有用的知识是一个令人振奋的挑战。本文系统概述了当前教育文本挖掘领域的现状，回答了三个主要的研究问题：在教育环境中最常用的文本挖掘技术是哪些？最常用的教育资源有哪些？主要的应用或教育目标是什么？最后，我们概述了结论和更有趣的未来趋势。