Application of machine learning in higher education to assess student academic performance, at-risk, and attrition: a meta-analysis of literature

Fahd, K, Venkatraman, S, Miah, Md Shah Jahan M ORCID: 0000-0002-3783-8769 and Ahmed, Khandakar ORCID: 0000-0003-1043-2029 (2021) Application of machine learning in higher education to assess student academic performance, at-risk, and attrition: a meta-analysis of literature. Education and Information Technologies, 27 (3). pp. 3743-3775. ISSN 1360-2357

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This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online.

Item type Article
URI https://vuir.vu.edu.au/id/eprint/44636
DOI https://doi.org/10.1007/s10639-021-10741-7
Official URL https://link.springer.com/article/10.1007/s10639-0...
Subjects Current > FOR (2020) Classification > 4611 Machine learning
Current > Division/Research > College of Science and Engineering
Keywords machine learning, ML, higher education, tertiary education, educational technology
Citations in Scopus 6 - View on Scopus
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