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The author examined the relationship between student engagement and academic performance, using U.S. data of the Program for International Student Assessment 2000. The sample comprised 3,268 fifteen-year-old students from 121 U.S. schools. Multilevel analysis showed that behavioral engagement (defined as effort and perseverance in learning) and emotional engagement (defined as sense of belonging) significantly predicted reading performance. The effect of emotional engagement on reading performance was partially mediated through behavioral engagement. Findings from the present study suggest that educators, policy makers, and the research community need to pay more attention to student engagement and ways to enhance it.

This paper examines the expansion of the OECD's Programme for International Student Assessment (PISA) and associated growth in the influence of the OECD's education work. PISA has become one of the OECD's most successful 'products' and has both strengthened the role of the Directorate for Education within the organization and enhanced the significance of the organization in education globally. We provide an overview of the OECD, including organizational changes in response to globalization and the changing place of the Directorate for Education within the organization, particularly with the development of PISA in the late 1990s. We show how the OECD is expanding PISA by broadening the scope of what is measured; increasing the scale of the assessment to cover more countries, systems and schools; and enhancing its explanatory power to provide policy-makers with better information. The OECD has also developed the Programme for International Assessment of Adult Competencies (PIAAC) and PISA-based Tests for Schools, which draw on the PISA template to extend the influence of its education work to new sites. The paper draws on data from 33 interviews with past and present personnel from the OECD, the International Association for the Evaluation of Educational Achievement (IEA) and the English and Australian education systems, as well as analysis of relevant OECD documents. We argue that PISA, and the OECD's education work more broadly, has facilitated new epistemological and infrastructural modes of global governance for the OECD in education.

The Programme for International Student Assessment (PISA) has become the world’s largest comparative assessment of academic achievement. While hundreds of studies have examined the factors predicting student achievement in PISA, a comprehensive overview of the main predictors has yet to be completed. To address this gap, we conducted a systematic literature review of factors predicting mathematics performance in PISA. Guided by Bronfenbrenner’s ecological model of human development, we synthesized the findings of 156 peer reviewed articles. The analysis identified 135 factors that fall into five broad categories: individual student, household context, school community, education systems and macro society. The analysis uncovered seven factors that are consistently associated with math achievement in PISA. Student grade level and overall family SES (socio-economic status) are consistently positively associated with math achievement while five factors are consistently negatively associated with math achievement: student absenteeism and lack of punctuality, school repeating and dropout rate, school prevalence of students’ misbehavior, shortage of teachers and general staff, and student-centered instruction. Fourteen factors tend to be positively or negatively associated with math achievement. The explanatory power of many other factors, however, remain mixed. Explanations for this result include methodological differences, complex interactions across variables, and underlying patterns related to national-cultural context or other meso or macro-level variables. Implications for policy and research are discussed.

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 equation modeling analyses revealed that teacher feedback and enjoyment of reading each had a statistically significant association with reading achievement. Additionally, enjoyment of reading mediated the association between teacher feedback and reading achievement.

The aim of the present study was to examine how different types of tracking - between-school streaming, within-school streaming, and course-by-course tracking - shape students' mathematics self-concept. This was done in an internationally comparative framework using data from the Programme for International Student Assessment (PISA). After controlling for individual and track mean achievement, results indicated that generally for students in course-by-course tracking, high-track students had higher mathematics self-concepts and low-track students had lower mathematics self-concepts. For students in between-school and within-school streaming, the reverse pattern was found. These findings suggest a solution to the ongoing debate about the effects of tracking on students' academic self-concept and suggest that the reference groups to wich students compare themselves differ according to the type of tracking. (DIPF/Orig.).

This paper examines the re-articulation of social justice as equity in schooling policy through national and global testing and data infrastructures. It focuses on the Australian National Assessment Program - Literacy and Numeracy (NAPLAN) and the OECD's Programme for International Student Assessment (PISA). We analyse the discursive reconstitution of social justice as equity in Australian and OECD policy, and analyse NAPLAN and PISA as technologies of governance that re-articulate equity as a measure of performance. These re-articulations are set against the extension of neo-social economistic rationalities to all domains of life and the topological production of new spaces of policy and power.

Research suggests that a country does not need inequity to have high performance. However, such research has potentially suffered from confounders present in between-country comparative research (e.g., latent cultural differences). Likewise, relatively little consideration has been given to whether the situation may be different for high- or low-performing students. Using five cycles of the Programme for International Student Assessment (PISA) database, the current research explores within-country trajectories in achievement and inequality measures to test the hypothesis of an excellence/equity tradeoff in academic performance. We found negative relations between performance and inequality that are robust and of statistical and practical significance. Follow-up analysis suggests a focus on low and average performers may be critical to successful policy interventions.

Collaborative problem solving is a complex skill set that draws on social and cognitive factors. The construct remains in its infancy due to lack of empirical evidence that can be drawn upon for validation. The differences and similarities between two large-scale initiatives that reflect this state of the art, in terms of underlying assumptions about the construct and approach to task development, are outlined. The goal is to clarify how definitions of the nature of the construct impact the approach to design of assessment tasks. Illustrations of two different approaches to the development of a task designed to elicit behaviors that manifest the construct are presented. The method highlights the degree to which these approaches might constrain a comprehensive assessment of the construct.

Research evidence for the big-fish-little-pond effect (BFLPE) has demonstrated that attending high-ability schools has a negative effect on academic self-concept. Utilizing multilevel modeling with the 2003 Program for International Student Assessment database, the present investigation evaluated the generalizability and robustness of the BFLPE across 16 individual student characteristics. The constructs examined covered two broad areas: academic self-regulation based on a theoretical framework proposed by Zimmerman and socioeconomic status. Statistically significant moderating effects emerged in both areas; however, in relation to the large sample (N = 265,180), many were considered small. It was concluded that the BFLPE was an extremely robust effect given that it was reasonably consistent across the specific constructs examined.

While shadow education, organized learning activities outside formal school, has grown greatly around the world, the relationship between formal schooling and shadow education has not been well investigated. This study is therefore intended to empirically test whether formal education's structure (i.e. tracking) affects students' shadow education participation by utilizing a nationally representative dataset consisting of 10th-grade students in Japan. Results of multilevel logistic regression analyses show school socioeconomic compositional and cross-level interaction effects on shadow education participation: students in high-socioeconomic status (SES) schools are more likely to seek shadow education lessons than those in schools of lower SES; and higher SES students tend to take shadow education lessons, especially when in high-SES schools. Additionally, the study finds that the school composition effect becomes relatively weak when extra lessons are free of charge, highlighting the importance of family economic capital to obtain additional learning opportunities.