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.
Summary
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
Volume
12 - 2021
Updates
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
This article was submitted to Educational Psychology, a section of the journal Frontiers in Psychology
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.