Forecasting Learner Attrition for Student Success at a South African University

Abstract

In this paper we attempt to deduce student attrition at a South African higher-education institution with the aim of identifying students who are likely to be in need of academic support so that a focus could be provided on improving their academic performance. The significance of this paper is on using computer science and information technology to address learner attrition (an African reality) and thereby impact the low university throughput and retention rates positively.