PERFORMANCE AND ACHIEVEMENT ANALYSIS OF A DATASET OF DISTANCE EDUCATION SAMPLES WITH WEKA

Year 2017, Volume: 8 , 9 - 18, 09.12.2017

Tolga Demirhan , İlker Hacioglu

Abstract

Data mining methods can be used to create models that
will help in making meaningful deductions or even future predictions by
establishing relationships within records which have values that can not be
understood alone. In this study, a data set was created through the voluntary
participation of Trakya University, Tunca Vocational School (Distance
Education) students to a questionnaire. Weka, a data mining application, was
used to analyze the survey results. The most successful models on Weka for the
relevant data set and the attributes that affect student success were
investigated.

Keywords

Weka, achievement analysis, data mining, distance education

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