Özlem Bezek Güre|Murat Kayr?|Fevzi Erdo?an
Analysis of Factors Effecting PISA 2015 Mathematics Literacy via Educational Data Mining
Batman University|Van Yüzüncü Y?l Üniversitesi|Van Yüzüncü Y?l Üniversitesi
aim study determine factors affecting pisa 2015 mathematics literacy using data mining methods multilayer perceptron artificial neural networks random forest cause effect relation within context study tried discovered means data mining methods level deep learning terms prediction ability findings method whose performance high accepted factors determining qualifications mathematics literacy turkey study information collected total 4422 students 215 49 boys 2257 51 girls participating pisa 2015 test used scores students gone pisa 2015 test got mathematics test dependent variables 25 variables thought connection dependent variables institutionally included analysis predictors result analysis witnessed random forest rf method made prediction smaller errors terms number performance indicators factors random forest method found important anxiety variable turkish success level students mother education level motivation level belief epistemology interest level teachers class disciplinary environment respectively statistical meaning significance impact levels variables tackled together details study expected study set example data mining use process educational studies factors whose affects found students mathematics literacy shed light national education system