The COVID-19 pandemic resulted in significant disruption in schooling worldwide. Global test score data is used to estimate learning losses by modeling 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 PISA. Mathematics scores declined an average of…

Researchers have conducted numerous studies on the positive effects of intrinsic motivation to learn mathematics and the negative impact of mathematics anxiety on students' performance in mathematics literacy. The study examined how the introduction of cognitive activation in mathematics lessons, a mediator variable, would alter these effects…

Globally, the private school share of enrollment increased from about 14 percent in 2000 to about 18 percent in 2019. We estimate the systemic effect of private enrollment share on learning outcomes. Estimates of the systemic effect of private school enrollment capture any competitive effects as well as any differences between public and private…

Background: Given that students from socio-economically disadvantaged family backgrounds are more likely to suffer from low academic performance, there is an interest in identifying features of academic resilience, which may mitigate the relationship between disadvantaged socio-economic status and academic performance. Aims: This study sought to…

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…

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…

This study investigates the relationships between students' self-concept, self-efficacy, and achievement in mathematics, considering contextual factors such as socioeconomic status, gender, and immigration background, by using Swedish data from PISA 2003 and 2012. Additionally, these relationships between the two types of schools in Sweden are…

This study explores the factors influencing mathematics performance, teacher satisfaction, and school environment across six economies using data from PISA 2022. Employing hierarchical linear modeling, the research examines individual and institutional variables at the student, teacher, and school levels. Key findings reveal significant…

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…

This dissertation in practice explores the intersection of computer science education, specifically computational thinking and programming, with mathematics achievement among 15- year-old students in selected English-speaking countries. The research addresses a gap in understanding whether skills developed through computer science can positively…

This study aims to develop an evaluation framework to assess the mathematical deductive reasoning competence (MDRC) of eighth-grade students in China based on Program for International Student Assessment (PISA) and Trends in International Mathematics and Science Study (TIMSS). The framework includes four dimensions of MDRC: cognitive level,…

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 OECD Programme for International Student Assessment (PISA) examines what students know in mathematics, reading and science, and what they can do with what they know. It provides the most comprehensive and rigorous international assessment of student learning outcomes to date. Results from PISA indicate the quality and equity of learning…

Gender differences in math-related professional achievements have been identified as a worldwide problem. Academic achievement assessments, however, have repeatedly revealed gender similarities. The observed gender similarity might be due to biased assessments that heavily rely on reading skills, which favors girls. The current study analyzed 29…

The present integrative data analysis examined gender differences in achievement, achievement profiles, and achievement motivation in mathematics, reading, and science among 113,864 top-performing adolescent math students (top 5% in their respective countries). To do this, we applied the same analysis protocol to representative individual…