Characterizing At-Risk Students and measuring treatment effects using machine learning methods
A thesis submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, in fulfillment of the requirements for the degree of Doctor of Philosophy, 2020 === Predicting and characterizing students that are at risk of failing is important because it would allow At...
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| Format: | Others |
| Language: | en |
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2021
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| Online Access: | https://hdl.handle.net/10539/31282 |