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, (2022), 19, 1, (49), 10.1186/s41239-022-00354-6)

Balqis Albreiki; Tetiana Habuza; Nazar Zaki

doi:10.1186/s41239-022-00367-1

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, (2022), 19, 1, (49), 10.1186/s41239-022-00354-6)

Balqis Albreiki, Tetiana Habuza, Nazar Zaki

Department of Computer Science and Software Engineering

Research output: Contribution to journal › Comment/debate › peer-review

2 Citations (Scopus)

Abstract

Following publication of the original article [1], 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 [1] has been updated.

Original language	English
Article number	61
Journal	International Journal of Educational Technology in Higher Education
Volume	19
Issue number	1
DOIs	https://doi.org/10.1186/s41239-022-00367-1
Publication status	Published - Dec 2022

ASJC Scopus subject areas

Education
Computer Science Applications

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Albreiki, B., Habuza, T., & Zaki, N. (2022). 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, (2022), 19, 1, (49), 10.1186/s41239-022-00354-6). International Journal of Educational Technology in Higher Education, 19(1), Article 61. https://doi.org/10.1186/s41239-022-00367-1

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, (2022), 19, 1, (49), 10.1186/s41239-022-00354-6). / Albreiki, Balqis; Habuza, Tetiana; Zaki, Nazar.
In: International Journal of Educational Technology in Higher Education, Vol. 19, No. 1, 61, 12.2022.

Research output: Contribution to journal › Comment/debate › peer-review

Albreiki, B, Habuza, T & Zaki, N 2022, '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, (2022), 19, 1, (49), 10.1186/s41239-022-00354-6)', International Journal of Educational Technology in Higher Education, vol. 19, no. 1, 61. https://doi.org/10.1186/s41239-022-00367-1

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 (International Journal of Educational Technology in Higher Education, (2022), 19, 1, (49), 10.1186/s41239-022-00354-6). International Journal of Educational Technology in Higher Education. 2022 Dec;19(1):61. doi: 10.1186/s41239-022-00367-1

Albreiki, Balqis ; Habuza, Tetiana ; Zaki, Nazar. / 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, (2022), 19, 1, (49), 10.1186/s41239-022-00354-6). In: International Journal of Educational Technology in Higher Education. 2022 ; Vol. 19, No. 1.

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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, (2022), 19, 1, (49), 10.1186/s41239-022-00354-6)

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