The purpose of this study is to analyze the relationship between Turkey and the selected OECD countries related to educational expenditures and academic success. The content of this study consists of the selected 5 countries ...

The aim of this research is to determine the variables at school and student level that affect together the maths-reading-science performances of Turkish students that participated in PISA 2009-2012-2015 practices. Within ...

The purpose of this study is to assess the Turkish students’ success in science, mathematics and reading literacy in PISA 2009 and PISA 2012 according to their access and user levels of information and communication ...

The purpose of this study is to compare the PISA results of Turkey and Germany up to the year 2015 and to investigate factors affecting the academic success in each country. The study was conducted with 25.536 students ...

In this study, it was tried to determine the use of data mining and machine learning approach in the field of education and the level of reliability and validity of the results obtained based on these algorithms. In the ...

This study is a comparative study between some developed countries and Republic of Niger about training and employment conditions of primary school teachers. The study aimed to identify strengths and weaknesses of the ...

The aim of this study is to research whether or not the attitude items towards sciences in PISA 2015 student questionnaire including differential item functioning (DIF) in terms of language and culture. Generalized Mantel ...

The purpose of this study is to determine whether there is DIF in the PISA 2015 reading section items from Singapore, Australia and the United States by employing the Mantel-Haenszel and the Logistic Regression methods. ...

The purpose of this study is to examine the performance of Naive Bayes, nearest neighborhood, artificial neural networks, and logistic regression analysis in terms of sample size and test-data ratio in classifying students ...

This study aims to compare the performance of artificial neural network, decision trees and discriminant analysis methods to classify student success. The performance of each method is investigated in different sample sizes ...