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 (Unpublished)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) |
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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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