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Investigating Predictors of Student Performance in STEM Using Educational Data Mining Techniques

Crossref DOI link: https://doi.org/10.1007/s42330-025-00377-x

Published Online: 2025-08-04

Published Print: 2025-06

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

Authors

Abroampah, Doris https://orcid.org/0009-0000-7593-712X
Cui, Ying https://orcid.org/0000-0003-3685-2582
Gierl, Mark https://orcid.org/0000-0002-2653-1761
License Information

Text and Data Mining valid from 2025-06-01

Version of Record valid from 2025-06-01
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Article History

Accepted: 26 June 2025

First Online: 4 August 2025

Declarations

:

: The authors declare no competing interests.