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The payoff to schooling among the foreign born in the United States is only around one-half of the payoff for the native born. This paper examines whether this differential is related to the quality of the schooling immigrants acquired abroad. The paper uses the overeducation/required education/undereducation specification of the earnings equation to explore the transmission mechanism for the origin-country school-quality effects. It also assesses the empirical merits of two alternative measures of the quality of schooling undertaken abroad. The results suggest that a higher quality of schooling acquired abroad is associated with a higher payoff to schooling among immigrants in the US labor market. This higher payoff is associated with a higher payoff to correctly matched schooling in the United States, and a greater (in absolute value) penalty associated with years of undereducation. A set of predictions is presented to assess the relative importance of these channels, and the undereducation channel is shown to be the more influential factor. This channel is linked to greater positive selection in migration among those from countries with better quality schools. In other words, it is the impact of origin-country school quality on the immigrant selection process, rather than the quality of immigrants' schooling per se, that is the major driver of the lower payoff to schooling among immigrants in the United States.

A recent study showed that the 2000 PISA results have had an influence on policy reform in the majority of participating countries/economies (Breakspear, 2012). This was not the case in France by far, a country where PISA methodology was under strong criticism at the time the PISA 2000 results were released. However, improvements came progressively: first, national curriculum standards were introduced a few years later that aimed at drastically changing the educational goals in France. Second, an evaluation based on PISA’s methodology was introduced for eighth graders. Third, at the time of the third and subsequent PISA surveys, the validity of PISA as a tool was recognized. Finally, the policy impact of PISA reached its highest level at the time of the fifth survey in 2012. Yet, many teachers and school principals do not know much about PISA. This chapter seeks to analyze the reasons why it took France so long to fully recognize the value of PISA.

The purpose of this paper is to examine what factors affect student achievement in reading and mathematics. The research questions addressed the perceptions of school principals and background characteristics related to student achievement in Korea and the USA with respect to differences among students in low, middle and high quantiles.

Data were taken from the Program for International Student Assessment 2012. Scores in the reading and mathematics were analyzed in conjunction with a principal survey. The Quantile Regression method was used for data analysis with three quantile points. T-statistics were used to test for significance. The predictor set consisted of seven school-leadership variables, and four to six additional covariates.

The most important finding for the USA was a relationship between organizational hindrance (HND) and low student achievement for the middle and upper quantiles in mathematics and for all quantiles in reading. The (HND) variable included poor teacher-student relations, low expectation of students, overly strict enforcement of rules, lack of attention to student needs, resistance to change, lateness to class, and lack of preparation. The most important finding for Korea was that there were significant associations across all groups between teacher attitude (TCHATT) and student reading achievement and with the low group in mathematics.

This study adds to knowledge about school capacity and suggests that the leadership role of the principal is to overcome negative environmental factors and create a positive organization.

The non-Gaussian approach of regression analysis allowed us to identify significant differences that we otherwise might not have found.

The purpose of this paper is to combine seemingly unrelated factors to explain global competitiveness. The study argues that school discipline and education investment affect competitiveness with the association being mediated by educational performance. Crucially, diachronic effects of discipline on performance are tested to demonstrate effects over time.

Partial least square (PLS) modelling is used to analyse the Organization for Economic Co-operation and Development’s Programme for International Student Assessment (PISA) data. The study further draws from World Bank data on Government Expenditure and World Economic Forum data on competitiveness. Five PISA dimensions of school discipline (students listening well, noise levels, teacher waiting time, students working well, class start time) are hypothesised to affect academic performance in reading, math and science, and to ultimately impact competitiveness.

Findings confirm the relative importance of school discipline (88 per cent) in comparison to education investment (12 per cent) on educational performance, with both variables also being found to be significantly associated with competitiveness directly.

This study demonstrates the time effects of discipline, more specifically that discipline dimensions (students listen well in 2003 and students work well in 2009) are associated with competitiveness in 2012. Implications for school policy and further research are discussed.

Building on the first cross-national study that had demystified various assumptions about the worldwide use of shadow education two decades ago, we analyze data from the 2012 Programme for International Student Assessment to examine the cross-national pattern of the use of shadow education by families in 64 nations and use improved statistical estimation methods. Focusing on fee-paying out-of-school classes, we find a continued, and likely an intensified pattern of the cross-national use of shadow education in the contemporary world. Approximately about one-third of all 15-year-old students from 64 countries/economies across the world use this form of shadow education. Students of higher socioeconomic status, females, and students in urban areas and general programs are more likely to use fee-paying services, while families and students turn to these services to address academic deficiencies in general. In addition, students from poorer countries more extensively rely on shadow education than students from wealthier countries after controlling for other variables. Students in South-Eastern and Eastern Asian countries are more likely to pursue shadow education than their counterparts in many other regions. Implications of these findings for theories of education and society as well as for educational policy in relation to shadow education are discussed.

This chapter aims to present the development of education in the South-East European (SEE) countries, which took place under strong influence of the European Union (EU) education policy. This is examined irrespective of the different relationships these countries have with the EU. Some of these are Member States, and others are candidate or partner countries. The chapter opens with the explanation of the concept of SEE, and it is processed with a discussion on the concept of Europeanization in the education field. The concept refers to the process of forming a common education policy in the EU. This is also transferred to non-EU European countries. The third subchapter synthetizes and evaluates the main characteristics and challenges of the education in the SEE countries from the perspective of common European policy goals.

Increased school autonomy and accountability have been a common denominator of national reforms in otherwise heterogeneous governance systems in Europe and the USA. The paper argues that because schools serving disadvantaged communities (SSDCs) often have lower average performance, they are more often sanctioned or under closer scrutiny, but might also receive more additional resources. The purpose of this paper is to therefore analyze whether SSDCs have more or less autonomy than schools with a more advantageous context in four countries with heterogeneous autonomy and accountability policies.

The paper is based on the data from the Programme for International Student Assessment 2012 school and student questionnaires from Finland, Germany, the UK, and the USA. The choice of countries is based on different governance models described by Glatter et al. (2003). The data are used to identify SSDCs and analyze the reported autonomy in resource allocation and curriculum and assessment. Using regression analyses, patterns are analyzed for each country individually. They are then juxtaposed and compared. Differences are related back to the governance models of the respective countries.

The results indicate an association between the communities the schools are serving and the autonomy either in the allocation of resources, or the curriculum and assessment. SSDCs appeared to have a little more autonomy than schools with a more advantageous context in Finland, Germany, and the UK, but less autonomy in the USA. The comparison suggests that in the USA, autonomy is rather a reward for schools that have the least amount of need, whereas in the other three countries it could be a result of strategies to improve schools in need. The paper discusses possible explanations in the policies and support structures for SSDCs.

The effects of increased school autonomy and accountability on student achievement have been discussed at length. How different accountability policies affect the autonomy of schools with the highest needs has so far not been studied. The study can be understood as a first step to unravel this association. Following steps should include in-depth investigations of the mechanisms underlying increased or diminished autonomy for SSDCs, and the consequences for school improvement in these schools.

The purpose of this paper is to summarise and analyse empirical research on protective factors that promote academic resilience in ethnic minority children mainly aged between 13 and 18 years attending schools in the Nordic countries.

This paper was opted for a literature review of 23 peer-reviewed quantitative articles published between 1999 and 2014. The analysis entailed protective factors at both the personal and environmental levels in ethnic minority children.

Some minority children’s school performance may be just as good if not better than majority children when having similar or even lower socioeconomic status than majority children. Protective factors at the personal level included working hard, having a positive attitude towards school, and having high educational aspirations. Protective factors at the environmental level included supportive school systems, supportive schools, and supportive networks including parental qualities and support. The findings are comparable to the findings outside the Nordic countries with one exception; minority children in the Nordic countries performed better than expected despite socioeconomic disadvantages.

Protective factors affecting academic resilience need further attention in a time with an increased global migration. Research implications may be related to how schools and policy makers develop supportive school systems, supportive schools, and supportive networks to contribute to making a difference for minority children’s educational opportunities in the Nordic countries.

Academic resilience is a relatively new research field in the Nordic countries. This review is the first review which has summarised and analysed existing findings on academic resilience in the Nordic countries in minority children.

Results from international large-scale assessments, such as PISA surveys, suggest that boys do better in math and science, whereas girls do better in reading. How do gender gaps vary across subjects, when estimated simultaneously? Building on the work of Tsai, Smith, and Hauser (2017), we answer this question by applying a multilevel-MIMIC model that enables us to estimate gender gaps in two ways: gender differences in the effects of observed family and school factors on math, science, and reading scores; and the “adjusted” gender gaps in test scores across all three subjects after controlling for observables. We apply the model to 2012 PISA data of students aged 15–16 and enrolled in 9th or 10th grade in three East Asian (Japan, South Korea, and Taiwan) and three Western countries (USA, Germany, and the Czech Republic) that represent both similar and different types of school systems. Our findings indicate that the gender gap in math or science achievement in Western countries, favoring boys, does not necessarily apply to the East Asian countries examined here, while all three East Asian countries exhibit similar features of gender reading gaps in the 10th grade. There is evidence indicating that observed background and school factors impact boys’ and girls’ achievement in a similar way in USA, Japan, Korea, Taiwan, and the Czech Republic, but not in Germany. Overall, gender differences in family and school influences do not account for gender differences in academic achievement in any of the six countries.

The Program for International Student Assessment (PISA) measured 15-year-olds’ performance in mathematics, reading, and science. The purpose of this paper is to use the assessment results of PISA 2006, 2009, and 2012 to benchmark the compulsory education performance of 65 countries and economies with emphasis on two benchmarking steps: identifying benchmarks and determining performance gaps.

The authors use a multi-criterion and multi-period performance categorization method to identify a group of best performers as benchmarks. Then, the authors use two-sample t-tests to detect against benchmarks whether each country or economy has significant performance gaps on individual performance measures.

Based on the mean scores of three assessment subjects in PISA 2006, 2009, and 2012, six best performers (Top-6) are identified from 65 participating countries and economies. In comparison with Top-6’s weighted averages, performance gaps are found for most countries and economies on the mean score of each subject, the percentage of top-performing students in all three subjects, and the percentage of lowest-performing students in each subject.

For compulsory education systems around the world, this paper provides an original categorization of performance based on the results of three PISA cycles, and provides new insights for countries and economies to prioritize improvement efforts to increase average performance, pursue excellence, and tackle low performance. For benchmarking applications involving multi-criterion and multi-period data, this paper presents a novel method of using statistical control charts to identify benchmarks and then using two-sample t-tests to determine performance gaps on individual performance measures.