Schools are becoming increasingly diverse due to globalization and migration. Worldwide, more than 700 million people migrate across international borders, and more than 200 million migrate within one country. Within China, approximately 36 million school-aged children relocate to cities with parents in the search for better education and future…

The purpose of this study was to investigate the school-related factors that influence students' global citizenship. To explore both student-level and school-level factors that influence students' global citizenship, we applied a hierarchical linear model using PISA 2018 data from Korea. The results showed that factors related to teacher's GCED…

The Programme for International Student Assessment (PISA) is one of the largest and most comprehensive comparative education studies in the world. A wide variety of countries and economies worldwide collect information on student performance, school environment, and other relevant variables using standardized, uniform procedures that assure the…

Although scholars have proposed school climate as a key mediator through which school-based management (SBM) can improve educational outcomes, empirical evidence on the relationship between SBM and school climate improvement is sparse. In this article, we use three waves of Programme for International Student Assessment (PISA) data across 57…

Students' out-of-school learning environment is one of the most prominent factors affecting their school success, which is mostly a source of inequity unfavoring disadvantaged groups. In some countries including Turkey, bilingual students are among disadvantaged groups because most of them are from immigrant families with low socioeconomic status.…

In extending the understanding of how school bullying impacts student learning, this research explored the relationships among school bullying, students' sense of belonging at school and academic performance in science, maths and reading. Data analysis was conducted using Beijing, Shanghai, Jiangsu and Guangdong (China) data of the 2015 Programme…

This study investigates the predictors of reading proficiency among 15-year-old Romanian students using data from the PISA 2018 assessment. For many years, a significant proportion of students have not met the basic proficiency level in reading, as measured by PISA. Previous research indicates that family background is the strongest predictor of…

An emergent literature has shown that some students overcome adversities related to their low Socio-Economic Status (SES) by attaining high academic achievement. One of the aims of this literature is to identify the factors that explain the capacity of students from low SES backgrounds to attain high academic achievement. However, upon reviewing…

Having a low sense of belonging in secondary education is associated with feelings of social alienation, lower school performance, and dropping out early. Based on person-environment fit theory, we expect retained students to experience a misfit with their academic environment. This experience could intensify when there are fewer other retained…

The education system strives to help students from low-income families achieve academic success. Academic resilience is related to not only individuals but also classrooms and schools. This study aimed to construct a comprehensive resilience model in science domains that presents the image of resilient students and describes the mechanisms by…

Widening achievement gaps driven by socioeconomic disparity have become a global concern. Yet, few studies have been able to track the changes and developments of socioeconomic-achievement gaps (SES-achievement gaps henceforward) across time. Using PISA data from 2003 to 2018, we estimated family SES-achievement gaps in seven Asian education…

Teacher-student interactions are crucial in understanding the role of a supportive climate in instructional practices. The present study investigates the perceptions of 15-year-old Nordic students regarding four aspects of their science class: teacher support, fairness, feedback, and class discipline. Multilevel modelling analysis is used to…

In this study, we examined relationships between learning environment characteristics (disciplinary climate, teacher support, and teacher feedback) and student outcomes (enjoyment of reading, and reading achievement) among 12,058 students from China who took part in the 2018 Programme for International Student Assessment. The results of structural…

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…

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…