Education through AI has become a consensus in the educational technology community, in which learning performance prediction and classification are two popular tasks for educational data mining. Researchers investigated into different methodologies of machine learning according to their tasks. Often used methodologies are "Linear Regression, Neural Networks, Support Vector Machines, Naive Bayes Classifier, and Decision Trees". Our analysis in this paper has shown that Support Vector Machines are less used than Neural Networks in the area of educational data mining. Although Support Vector Mac...
