Citation

Kannan, Rithesh and Yap, Timothy Tzen Vun and Ng, Hu (2022) Academic At-Risk Modelling. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Text 28.RITHESH KANNAN.pdf - Submitted Version Restricted to Registered users only Download (616kB)

Abstract

Students do not complete their studies for many reasons (attrition factors) • Leads to loss of revenue for universities and loss of opportunities for students • Need to identify attrition factors and predict students at-risk to decrease student attrition which will lead to increase in revenue

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Machine Learning
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	20 Dec 2022 02:53
Last Modified:	20 Dec 2022 02:53
URII:	http://shdl.mmu.edu.my/id/eprint/10945

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