Predicting Student Academic Performance Using Artificial Neural Network.

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dc.contributor.authorOlaniyan, O. M., Oloyede, A. O., Aremu, I. A., Babatunde, R. S., and Adeyemi, B.M. (2021)
dc.date.accessioned2024-07-24T09:37:47Z
dc.date.available2024-07-24T09:37:47Z
dc.date.issued2021-03-23
dc.description.abstractAbstract Introduction: Predicting student academic performance plays an important role in academics. Classifying students using conventional techniques cannot give the desired level of accuracy, while doing it with the use of soft computing techniques may prove to be beneficial. Aim: This study aims to accurately predict and identify student academic performance using an Artificial Neural Network in educational institutions. Materials and Methods: Artificial Neural network was employed to compute the performance procedure over the MATLAB simulation tool. The performance of the Neural Network was evaluated by accuracy and Mean Square Error (MSE). This tool has a simple interface and can be used by an educator for classifying students and distinguishing students with low achievements or at-risk students who are likely to have low performance. Results: Findings revealed that the Neural network has the highest prediction accuracy by (98%) followed by the decision tree by (91%). Support vector machine and k-nearest neighbor had the same accuracy (83%), while naive Bayes gave lower prediction accuracy (76%). Conclusion: This work has helped to analyze the capabilities of an Artificial Neural Network in the accurate prediction of students’ academic performance using Regression and feed-forward neural network (FFNN) as evaluation metrics.
dc.identifier.citationOlaniyan, O. M., Oloyede, A. O., Aremu, I. A., Babatunde, R. S., and Adeyemi, B.M. (2021)
dc.identifier.uriDOI:10.36108/jrrslasu/1202.80.0121. https://jrrslasu.com/publications/JRRS_volume8_issue2_pp1-7_644.pdf
dc.identifier.urihttps://kwasuspace.kwasu.edu.ng/handle/123456789/1782
dc.language.isoen
dc.publisherLASU Journal of Research and Review in Science. 8(1): 1-7. Published by Lagos State University.
dc.titlePredicting Student Academic Performance Using Artificial Neural Network.
dc.typeArticle
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