This study aims to identify the profiles regarding students' familiarity with information and communication technology (ICT) and their relationships to reading literacy and background variables for high-performing countries in PISA 2018. We distinguished four classes in each of the six countries (Estonia, Hong Kong, Ireland, New Zealand, Poland,…

In large-scale assessments, performance differences across different groups are regularly found. These group differences (e.g., gender differences) are often relevant for educational policy decisions and measures. However, the formation of these group differences usually remains unclear. We propose an approach for investigating this formation by…

Principals (policy makers) have debated the progress in U.S. student performance for a half century or more. Informing these conversations, survey agents have administered seven million psychometrically linked tests in math and reading in 160 waves to national probability samples of selected cohorts born between 1954 and 2007. This study is the…

Creativity is the driving force of technological innovation and sustainable economic growth in the knowledge society. A central question, therefore, is how education helps to enhance creativity. As East Asian countries occupy the top of performance tests such as the OECD's Programme for International Student Assessment (PISA), it is most important…

This paper discusses the emergence of the new global educational governance characterized by 1) global educational reform movement, 2) the active participation of the international organizations in global educational policy making, and 3) the emerging performative culture. Against this background, this article contextualizes the East Asian…

The purpose of this research is to examine measurement invariance of collaborative problem solving skills measured by PISA 2015 Xandar subtest for Singapore, Norway, and Turkey. The research was conducted with 2990 participants' data obtained from Turkey (1032), Norway (923), and Singapore (1035) on PISA 2015 collaborative problem solving study.…

A recursive partitioning model approach in the form of classification and regression trees (CART) was used with 2012 PISA data for five countries (Canada, Finland, Germany, Singapore-China, and the Unites States). The objective of the study was to determine demographic and educational variables that differentiated between low SES student that were…

In large-scale low-stake assessment such as the Programme for International Student Assessment (PISA), students may skip items (missingness) which are within their ability to complete. The detection and taking care of these noneffortful responses, as a measure of test-taking motivation, is an important issue in modern psychometric models.…

In the last decade, the usage of advanced statistical models is growing rapidly in many different disciplines. However, the Quantile Regression Mixture Model (QRMIX), which is a developed approach of the Finite Mixture Model (FMM), is an applicable new method in the educational literature. The aim of the proposed study was to determine factors…

Information and Communication Technology (ICT) engagement, as a multidimensional construct, plays an increasingly important role in education. The main purpose of this research was to explore the effects of ICT engagement factors on science performance across Singapore and Turkey conditional to the sufficient degree of measurement invariance of…

Introduction: The prevalence rates of bullying vary significantly across countries and continents. Specifically, UNESCO estimates that the prevalence rates vary from 22.8% (CentralAmerica) to 48.2% (Sub-Saharan Africa). Recently these differences among countries andregions have been attributed to culture- and country-level variables. Thus, the…

This study aimed to investigate cross-cultural measurement invariance of the PISA (Programme for International Student Assessment, 2015) science literacy test and items and to carry out a bias study on the items which violate measurement invariance. The study used a descriptive review model. The sample of the study consisted of 2224 students…

A recursive partitioning model approach in the form of classification and regression trees (CART) was used with 2012 PISA data for five countries (Canada, Finland, Germany, Singapore-China, and the Unites States). The objective of the study was to determine demographic and educational variables that differentiated between low SES student that were…

Standardised tests help measure student's progress at school and can inform education policy about existing shortfalls. However, too much testing could lead to much pressure on students and teachers to learn and teach for a test, something that would take the joy out of the learning process. Many parents and educators are all too familiar with…

This article compares the way the United States deals with its low-income gifted students with the methods Finland, Japan, and Singapore implement for these pupils. Four components of gifted education were used to compare these nations: the methods for identifying gifted students, each country's gifted education policy, the educational…