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

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.