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 purpose of the current study is to examine malleable school practices and norms that contribute to inequitable school learning environments based on student background. Using multilevel structural equation modeling (SEM) with the U.S. sample of PISA 2015, this study examines the extent to which student-level access to inquiry-based science…

Results of the PISA 2018 tests show that the average score in mathematics of the Spanish students is below the European Union and the OECD averages. These differences may be caused by factors related to the student or by those related to the school the student belongs to. The aim of this work is to identify the variables causing the differences in…

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…

In this study, 15-year-old Turkish students' profiles of using ICT at home and at school were identified, and the extent to which these profiles were associated with their academic achievement was determined. Moreover, the study investigated the effects of the students' age of first usage of digital device and internet, their gender and their…

The COVID-19 pandemic resulted in significant disruption in schooling worldwide. This paper uses global test score data to estimate learning losses. It models the effect of school closures on achievement by predicting the deviation of the most recent results from a linear trend using data from all rounds of the Programme for International Student…

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…

Effective collaborative problem solving comprises cognitive dimensions, in which men tend to outperform women, and social dimensions in which women tend to outperform men. We extend research on between-country differences in gender gaps by considering collaborative problem solving and its association with two indicators of societal-level gender…

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…

The advantages and disadvantages of single-sex schooling continue to be a source of policy and public debate. Previous empirical evidence is somewhat ambiguous, with some studies finding a positive impact of single-sex schooling on education achievement and others finding no differences across school types. The relationship between single-sex…

In most education systems, students with an immigrant background perform worse academically than do native students. However, in the United Arab Emirates (UAE) differences emerge in the opposite direction and the national-expatriate gap in academic performance is equivalent to almost three years of schooling. This gap is a concern in the UAE,…

Most studies suggest that students develop computational thinking (CT) through learning programming. However, when the target of CT is decoupled from programming, emerging evidence challenges the assertion of CT transferability from programming. In this study, CT was operationalized in everyday problem-solving contexts in a learning experiment (n…

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…

Background: Inquiry-based teaching (IBT) and improving school climate are the two most commonly used strategies for fostering learning and critical thinking skills in students. IBT has positioned itself as one of the most recommended "active" methodologies for developing intellectual autonomy and complex thought processes, whereas school…