- Open Access
Correction to: Framework for automatically suggesting remedial actions to help students at risk based on explainable ML and rulebased models
International Journal of Educational Technology in Higher Education volume 19, Article number: 61 (2022)
Correction to: Int J Educ Technol High Educ19, 49 (2022). https://doi.org/10.1186/s41239-022-00354-6.
Following publication of the original article , it was reported that two authors, Tetiana Habuza and Nazar Zaki, were missing from the authorship panel. The correct authorship is given in this Correction article and the original article  has been updated.
Albreiki, B., Habuza, T., & Zaki, N. (2022). Framework for automatically suggesting remedial actions to help students at risk based on explainable ML and rule-based models. Int J Educ Technol High Educ, 19, 49. https://doi.org/10.1186/s41239-022-00354-6
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The online version of the original article can be found athttps://doi.org/10.1186/s41239-022-00354-6.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Albreiki, B., Habuza, T. & Zaki, N. Correction to: Framework for automatically suggesting remedial actions to help students at risk based on explainable ML and rulebased models. Int J Educ Technol High Educ 19, 61 (2022). https://doi.org/10.1186/s41239-022-00367-1