There has been long discussion in educational psychology about the individual factors that promote pupils' sense of school belonging during secondary education. However, the literature on the school factors associated with these outcomes seems to be less informed. By utilising an ecological-systemic approach, the present study aimed to consider…

Our study is among the first to provide a comprehensive review of cross-national patterns of gender differences in various STEM-related constructs--achievement, beliefs, attitudes, aspirations, and participation, concerning country-level gender equality. We complement our review with empirical analyses utilizing rigorous methodologies and richer…

Using PISA 2012 data, we conducted multilevel modeling analyses to explore how student-teacher relationships (STRs) affected mathematics motivation across EU countries. We compared this relationship across high and low achievers and explored how sex, economic, social, and cultural status (ESCS), ability grouping, class size, and teacher intentions…

The attitude towards ICT determines the amount of incentive for practicing with it, which may directly affect ICT literacy. So, students' attitude inter alia is one of the substantial building blocks of ICT literacy, which in turn is an important component of improved student achievement brought about by it. This paper is devoted to exploring the…

The OECD Programme for International Student Assessment (PISA) examines what students around the world know and can do. This volume -- Volume III, Creative Minds, Creative Schools -- is one of five volumes presenting the results of the eighth round of the PISA assessment. For the first time, in 2022, PISA assessed students' capacity to engage in…

Purpose: Achievement in mathematics and reading is a function of many interrelated variables. Therefore, it is important to identify and compare the variables that affect success in these areas. The aim of this study is to examine the characteristics that are thought to be effective on achievement scores in reading and mathematics. Method: The…

The increasing use of low-stakes international assessments highlights the importance of test-taking efforts. Previous studies have used self-reported and response time-based measures to examine this effort. Although differences between these measures have been suggested, their association with performances and potential gender gaps remains…

Background: Researchers have acknowledged that examining ICT in relation to disciplinary learning outcomes could offer a promising, synergistic research path forward. A number of empirical studies have been done to determine the relationship between ICT-related variables and students' science achievement. However, the mechanism of the…

Achievement motivation is a well-documented predictor of a variety of positive student outcomes. However, given observed group differences in motivation and related outcomes, motivation instruments should be checked for comparable item and scale functioning. Therefore, the purpose of this study was to evaluate measurement scale comparability and…

International surveys are increasingly being used to understand nonacademic outcomes like math and science motivation, and to inform education policy changes within countries. Such instruments assume that the measure works consistently across countries, ethnicities, and languages--that is, they assume measurement invariance. While studies have…

Gender differences in item nonresponse are well-documented in high-stakes achievement tests, where female students are shown to omit more items than male students. These gender differences in item nonresponse are often linked to differential risk-taking strategies, with females being risk-averse and unwilling to guess on an item, even if it could…

Reading literacy is one of the key components in the teaching and learning process. This study aims to describe the differences in reading literacy of Indonesian students by gender and region and identify what factors are most likely to trigger these differences. An explanatory sequential mixed methods design was used through two stages to collect…

Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response variable among a collection of hundreds or even thousands of potential predictor variables. Among these, penalized…

This PISA volume examines 15-year-old students' understanding of money matters in 20 countries and economies, and provides insights into differences in performance linked to factors, such as socio-economic background and family interactions. The results highlight the importance that all students receive financial education, in particular those…

Has the achievement of U.S. students improved over the past half century? Have gaps between racial, ethnic, and socioeconomic groups widened or narrowed? These and similar questions provoke near-constant conversation. But answers are uncertain, partly because research to date has yielded inconsistent findings. In this article, the authors bring…