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 ...

The purpose of this research is to determine to what extent academic classification is supported by the mathematics literacy performance in PISA 2012 of students from China-Shanghai, Spain and Peru among the participating ...

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 ...

In this research, the performance of top-down and bottom-up test assembly methods were compared according to the sample size, panel design and module length of the Adaptive Multistage Tests (MST). MSTs formed according to ...

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 ...

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 ...

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 ...

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 ...

In this study, the question “According to the PISA 2009 data, what is the situation of the school policies and practices and also their effects on the learning outcomes (reading scores) at upper secondary schools in Turkey?” ...

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. ...