Crossmark

Explainable machine learning for student dropout prediction and tailored interventions in online personalized education

Crossref DOI link: https://doi.org/10.1007/s44163-026-01016-6

Published Online: 2026-02-27

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Nti, Isaac Kofi https://orcid.org/0000-0001-9257-4295
Ramanayake, Selena https://orcid.org/0000-0003-0628-3577
License Information

Text and Data Mining valid from 2026-02-27

Accepted Manuscript valid from 2026-02-27
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Article History

Received: 7 May 2025

Accepted: 9 February 2026

First Online: 27 February 2026

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare no competing interests.