TY  - JOUR
TT  - PERFORMANCE AND ACHIEVEMENT ANALYSIS OF A DATASET OF DISTANCE EDUCATION SAMPLES WITH WEKA
AU  - Demirhan, Tolga
AU  - Hacioglu, İlker
PY  - 2017
DA  - December
JF  - The Eurasia Proceedings of Educational and Social Sciences
JO  - EPESS
PB  - ISRES Publishing
WT  - DergiPark
SN  - 2587-1730
SP  - 9
EP  - 18
VL  - 8
KW  - Weka
KW  - achievement analysis
KW  - data mining
KW  - distance education
N2  - Data mining methods can be used to create models thatwill help in making meaningful deductions or even future predictions byestablishing relationships within records which have values that can not beunderstood alone. In this study, a data set was created through the voluntaryparticipation of Trakya University, Tunca Vocational School (DistanceEducation) students to a questionnaire. Weka, a data mining application, wasused to analyze the survey results. The most successful models on Weka for therelevant data set and the attributes that affect student success wereinvestigated.
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UR  - https://dergipark.org.tr/en/pub/epess/issue//364118
L1  - https://dergipark.org.tr/en/download/article-file/379552
ER  -