Modeling E-Behaviour, Personality and Academic Performance with Machine Learning
The analysis of student performance involves data modelling that enables the formulation of hypotheses and insights about student behaviour and personality. We extract online behaviours as proxies to Extraversion and Conscientiousness, which have been proven to correlate with academic performance. T...
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Autores principales: | Serepu Bill-William Seota, Richard Klein, Terence van Zyl |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/64355bc4eab74c7ab1cacb315ceb7599 |
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