A Review on Performance Prediction of Students using Data Mining

Mandeep Kaur, Vimal Dev

Abstract


Predicting performance of students becomes extra challenging due to the huge volume of data in educational databases. The study on current prediction methods is still insufficient to detect the most appropriate methods for predicting the performance of students in Malaysian institutions. Due to the lack of studies on the factors affecting students’ accomplishments in specific courses within Malaysian context. The main objective of this article is to afford an outline on the data mining methods. This article concentration on how the prediction algorithm can be used to detect the most main attributes in a student’s data. We could really increase students’ accomplishment and success more efficiently in a well-organized way consuming educational data mining methods.


Keywords


Educational data mining, Performance prediction, Student performance

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References


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