mlsanityData to 7 Oct 2026

Text mining in education

arXiv 2403.00769 ↗First posted 11 Feb 2024cs.IR cs.CY cs.LGcited by 4

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 10 of its 386 references that are in the map. First posted on arXiv 11 Feb 2024.

Builds on

10 of 386 references.

References · 10

  1. 2018Experiments with Universal CEFR Classificationcited by 17
  2. 2016Automated assessment of non-native learner essays: Investigating the role of linguistic featurescited by 12
  3. 2019Co-Attention Based Neural Network for Source-Dependent Essay Scoringcited by 11
  4. 2018UnibucKernel: A kernel-based learning method for complex word identificationcited by 5
  5. 2013Learning about social learning in MOOCs: From statistical analysis to generative modelcited by 4
  6. 2018A Portuguese Native Language Identification Datasetcited by 4
  7. 2018Second Language Acquisition Modeling: An Ensemble Approachcited by 4
  8. 2019Annotating Student Talk in Text-based Classroom Discussionscited by 4
  9. 2016Expediting Support for Social Learning with Behavior Modelingcited by 1
  10. 2018An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responsescited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 1.

4 papers.