Abstract:Predicting student academic performance in educational information systems becomes one of the major concerns in improving the quality of academic institutions. Educational data mining can identify the settings that characterize students’ behavior. This study develops prediction models for students’ performance using neural networks, deep learning, and random forest. Deep learning uses multiple hidden layers to represent the data at a higher level, using linear or non-linear transformations. Random Forest that … Show more
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