Predict the selection of mathematics subject for 11th grade students using Data Mining technique

In recent years, education has developed in Oman, especially in the last's stages of education, as the student in the tenth grade must choose the mathematics subject that suits his/her abilities to move to the eleventh grade. The main objective of this project is to predicate the selection of mathematics subject for 11th grade students using Data Mining technique. Before the creation of the model in this project, the data must be preprocessed after extraction from the educational portal such as cleaning and reduce errors and noise. This research uses the data of 2000 students as a case study to be studied in this project. The data extracted from one of the educational sector of Oman. Different education data mining (EDM) were applied, using classification methods. The algorithm used on this project to predicate student selection was J48, sample logistic and Naïve Bayes. The results of this project show that many students must choose applied mathematics because of their level in mathematics subject.