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CORRECTION article

Front. Psychol., 21 January 2022
Sec. Educational Psychology
This article is part of the Research Topic AI in Digital Education View all 9 articles

Corrigendum: Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis

  • 1School of Computer Science, Northwestern Polytechnical University, Xi'an, China
  • 2Key Laboratory of Big Data Storage and Management, Ministry of Industry and Information Technology, Xi'an, China

A Corrigendum on
Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis

by Zhang, Y., Yun, Y., An, R., Cui, J., Dai, H., and Shang, X. (2021). Front. Psychol. 12:698490. doi: 10.3389/fpsyg.2021.698490

An author name was incorrectly spelled as Xunqun Shang. The correct spelling is Xuequn Shang.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: personalized education, review and discussion, educational data mining (EDM), student performance prediction, pattern recognition

Citation: Zhang Y, Yun Y, An R, Cui J, Dai H and Shang X (2022) Corrigendum: Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis. Front. Psychol. 12:842357. doi: 10.3389/fpsyg.2021.842357

Received: 23 December 2021; Accepted: 29 December 2021;
Published: 21 January 2022.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2022 Zhang, Yun, An, Cui, Dai and Shang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xuequn Shang, shang@nwpu.edu.cn

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.