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

Download

[thumbnail of Application of machine learning in higher education to assess student academic performance at-risk and attrition a meta-analysis of literature - VU.pdf]

Preview

Application of machine learning in higher education to assess student academic performance at-risk and attrition a meta-analysis of literature - VU.pdf - Accepted Version (1MB) | Preview

Export

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

Dimensions Badge

Altmetric Badge

Additional Information	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	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	8 - View on Scopus
Download/View statistics	View download statistics for this item