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Educational data mining: prediction of students' academic performance using machine learning algorithms

Crossref DOI link: https://doi.org/10.1186/s40561-022-00192-z

Published Online: 2022-03-03

Published Print: 2022-12

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

Authors

Yağcı, Mustafa https://orcid.org/0000-0003-2911-3909
License Information

Text and Data Mining valid from 2022-03-03

Version of Record valid from 2022-03-03
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Article History

Received: 15 November 2021

Accepted: 15 February 2022

First Online: 3 March 2022

Declarations

:

: The authors declare that they have no competing interests.