In the published article, the Acknowledgment Statement was mistakenly not included in the publication. The missing statement appears below:
Statements
Acknowledgments
“The authors would like to thank the Research Directorate of the Universidad Peruana de Ciencias Aplicadas for the support provided to carry out this research work through the UPC-EXPOST-2023-1 incentive.”
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
privacy, personal data, neural networks, forecasting, academic performance
Citation
Chavez H, Chavez-Arias B, Contreras-Rosas S, Alvarez-Rodríguez JM and Raymundo C (2023) Corrigendum: Artificial neural network model to predict student performance using nonpersonal information. Front. Educ. 8:1171995. doi: 10.3389/feduc.2023.1171995
Received
22 February 2023
Accepted
23 February 2023
Published
07 March 2023
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
8 - 2023
Updates
Copyright
© 2023 Chavez, Chavez-Arias, Contreras-Rosas, Alvarez-Rodríguez and Raymundo.
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: Carlos Raymundo carlos.raymundo@upc.edu.pe
This article was submitted to Assessment, Testing and Applied Measurement, a section of the journal Frontiers in Education
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.