A CLASSIFICATION MODEL FOR PREDICTING THE SUITABLE STUDY TRACK FOR SCHOOL STUDENTS

@inproceedings{AlRadaideh2011ACM,
  title={A CLASSIFICATION MODEL FOR PREDICTING THE SUITABLE STUDY TRACK FOR SCHOOL STUDENTS},
  author={Qasem A. Al-Radaideh and Ahmad Al Ananbeh and Emad M. Al-Shawakfa},
  year={2011}
}
One of the most important issues to succeed in the academic life is to assign students to the right track when they arrive to the end of the basic education stage. The main problem in the selection of an academic track in basic Jordanian schools is the lack of useful knowledge for students to support their planning. This paper utilized data mining techniques to provide a classification approach to support basic school students in selecting the suitable track. For this purpose, a decision tree… CONTINUE READING

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Key Quantitative Results

  • We concluded that the overall accuracy of the model prediction was 87.9%; it indicates that the model could correctly classify 218 students among 248 students.

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