IRCYLGFeb 11, 2024

Text mining in education

arXiv:2403.00769v1179 citationsh-index: 46WIREs Data Mining Knowl. Discov.
Originality Synthesis-oriented
AI Analysis

This is an incremental contribution that organizes existing knowledge for educational stakeholders and researchers.

This paper addresses the lack of systematic surveys in educational text mining by providing an overview of the field, focusing on commonly used techniques, resources, and applications in online education environments.

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.

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