ACHIEVEMENT ANALYSIS OF A DATASET OF DISTANCE EDUCATION SAMPLES WITH APRIORI ALGORITHM

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Authors

  • Tolga DEMİRHAN
  • İlker HACİOGLU

Keywords:

Apriori, weka, success analysis, data mining, distance education

Abstract

The purpose of this study is to analyze the academic success of distance education students using the apriori algorithm which is one of the association rule extraction algorithms in data mining. The students enrolled in Trakya University, Tunca Vocational High School (Distance Education) in 2016-2017 education year constitute the data set of the study. A questionnaire with 51 items, participation in which was on a voluntary basis, was used for the creation of the data set. On the data set, Apriori experiments were carried out separately for the attributes with course grades and the obtained rules were interpreted.

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Published

2017-12-09

How to Cite

DEMİRHAN, T., & HACİOGLU, İlker. (2017). ACHIEVEMENT ANALYSIS OF A DATASET OF DISTANCE EDUCATION SAMPLES WITH APRIORI ALGORITHM. The Eurasia Proceedings of Educational and Social Sciences, 8, 19–29. Retrieved from https://epess.net/index.php/epess/article/view/370

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Articles