Enhancing Computer Students’ Academic Performance through Predictive Modelling - A Proactive Approach

Through the application of ICT for predictive analytics, proactive strategies can be implemented to improve the quality of education for a country’s development. The study demonstrates the process of predictive modelling of students’ academic performance with a view of identifying strategies that can manage performance drivers. Machine learning algorithms such as Decision trees, Regression and Neural Networks were used in the research for prediction modelling. The results showed that students’ performance can be modelled and predicted with reasonable accuracy that can inform strategies for improving performance. In order to improve the approach, the study recommends scaling the approach to make use of other algorithms, ICT tools, other degree programmes and incorporate other institutions.

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