Survey on data mining approach for analysis and prediction of student performance

  • Authors

    • Chala Simon
    • Ybralem Bugusa
    2018-09-22
    https://doi.org/10.14419/ijet.v7i4.5.21135
  • Student Performance, Data Mining, Prediction, Classification Algorithm.

  • Abstract

    The quality of education is measured by the academic performance of students and the results they produce. Since the student academic performance is the made up of the environmental, psychological, socio-economic and other factors, it is challenging to measure the aca- demic performance of students. Such difficulties can be reduced by investigation of various factors that influence the student perfor- mance. Many researchers have been used different approaches to identifying the variables that help to predict students’ performance. This survey paper examines various data mining methodologies that have been used to analyze and predict students’ performance.

     

     


     

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  • How to Cite

    Simon, C., & Bugusa, Y. (2018). Survey on data mining approach for analysis and prediction of student performance. International Journal of Engineering & Technology, 7(4.5), 467-470. https://doi.org/10.14419/ijet.v7i4.5.21135

    Received date: 2018-10-06

    Accepted date: 2018-10-06

    Published date: 2018-09-22