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Author/Affiliation: Gcobisile MatafeniOpen AccessArticle
7 Pages, 824 KB 
Using Big Data Analytics to Predict Learner Attrition based on First Year Marks at a South African University
Abstract:
Due to high failure rates many students end up spending unnecessary years struggling to qualify and subsequently accumulate unnecessary debt. In this paper, our principal contribution is to provide an expert system that statistically predicts the success of a first year student in an undergraduate Science programme given only academic merit in their subject matter.…
Read More(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Interdisciplinary Applications of Computer Science (CSI))