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International student mobility has been rising as a global phenomenon in the last few decades, while its impact could be various in different contexts. For the European Union (EU), studying in another EU member country could be regarded as an important factor for the solidarity and integrity of the Union. The current study elaborates on the role of studying abroad regarding the attitudes of people toward immigration in the EU. It shows that people who are studying in an EU member country, belonging to higher social classes and from EU15 countries, are more likely to have positive attitudes toward immigration. But after controlling several socio-demographic variables studying abroad still contributes positively to the attitudes of EU citizens toward immigration. Accordingly, current study provides promising pieces of evidence on the social contribution of studying abroad for both future research and policymakers.

Several studies have been published on disengaged test respondents, and others have analyzed disengaged survey respondents separately. For many large-scale assessments, students answer questionnaire and test items in succession. This study examines the percentage of students who continuously engage in disengaged responding behaviors across sections in a low-stakes assessment. The effects on calculated scores of filtering students, based on their responding behaviors, are also analyzed. Data of this study came from the 2015 administration of PISA. For data analysis, frequencies and percentages of engaged students in the sessions were initially calculated using students' response times. To investigate the impact of filtering disengaged respondents on parameter estimation, three groups were created, namely engaged in both measures, engaged only in the test, and engaged only in the questionnaire. Next, several validity checks were performed on each group to verify the accuracy of the classifications and the impact of filtering student groups based on their responding behavior. The results indicate that students who are disengaged in tests tend to continue this behavior when responding to the questionnaire items in PISA. Moreover, the rate of continuity of disengaged responding is non-negligible as can be seen from the effect sizes. On the other hand, removing disengaged students in both measures led to higher or nearly the same performance ratings compared to the other groups. Researchers analyzing the dataset including achievement tests and survey items are recommended to review disengaged responses and filter out students who are continuously showing disengaged responding before performing further statistical analysis.

Context: Existing studies have explored the association between workplace training and wages suggesting that training participation may have a positive association with wages. However, we still know very little about whether this association varies between men and women. Through its potential positive association with wages, training may balance wage differences between men and women. In addition, the gender wage gap varies across the wage distribution. Differences in the association between training participation and wages for men and women across the earnings spectrum may offer an explanation as to why the discrepancy in female/male earnings is larger at some point of the wage distribution compared to others. Approach: Using data from the Programme for International Assessment of Adult Competencies (PIAAC) and unconditional quantile regression, this paper examines whether the association between workplace training and wages differs between men and women at different points of the wage distribution across 14 European countries. To partly control for endogeneity in training participation, detailed measures of cognitive skills have been included in the models. Findings: Findings show gender differences in the association between training and wages across the wage distribution. In most countries, results indicate larger training coefficients for women than men at the lower end of the wage spectrum whereas they are larger for men at the top. This pattern holds across most countries with the only exception of Liberal ones, where women benefit less than men across the entire wage spectrum. Conclusions: The findings of this work reveal that distributional variations in returns to workplace training follow a similar pattern across industrialized countries, despite their different institutional settings. Moreover, differences in training coefficients of men and women at different parts of the wage distribution suggest that training could reduce gender wage differences among low earners and potentially widen the gap in wages among individuals at the top of the wage distribution.

This study explores the role of the welfare state in reducing young people not being in education, employment, or training (NEET)s across 15 European countries. Using data from the Survey of Adult Skills in the Program for the International Assessment of Adult Competencies (PIAAC) in combination with the Social Expenditure Database, we conducted cross-national analysis to reveal whether the increase in public social spending moderates the risk of being NEET at a young adult age, especially for socially disadvantaged young people. Our results highlighted that the rise of one percentage point of public social spending per gross domestic product, including social expenditure on education, active labor market, and unemployment, is significantly associated with decreasing the odds of being NEET. Furthermore, these social expenditures appeared to lower the NEET risk given socially disadvantaged backgrounds suggesting that young people with low educational levels, whose parents have low educational attainment levels, non-immigrant families, and females are likely to benefit given the robust social protection system. These findings suggest that public social spending may be an effective investment in promoting the social involvement of young people from socially disadvantaged background.

In this study, we investigated factors predictive of disconnection, or not being in education, employment, or training (NEET), among young adults with at least a 2-year college degree. We also explored the extent to which disconnection influences civic participation and well-being among NEETs with and without college degrees. The authors used 2012 and 2015 Organisation for Economic Co-operation and Development (OECD) data from the Survey of Adult Skills in the Program for the International Assessment of Adult Competencies (PIAAC) for 29 countries, including the United States, along with US 2012 data from the Education Longitudinal Study of 2002 (ELS:2002), collected by the National Center for Education Statistics (NCES). Results highlight that college-educated individuals whose parents have low levels of educational attainment actually have a higher likelihood of becoming NEET relative to college-educated individuals whose parents are more highly educated. Study findings also emphasize the influence of economic and geographic differences (country-level for OECD and county-level for United States) on NEET rates, in addition to the extent to which mothers have a higher likelihood and fathers have a lower likelihood of being NEET relative to their childless peers and the influence of country-level family leave policies on the odds of being NEET across the OECD. College field of study also emerges as an important influence on disconnection across the 29 OECD countries in the study, but not in the United States separately. Finally, comparing results for college-educated NEETs and NEETs without degrees, we found that higher education appears to reduce the likelihood of community disengagement and reports of poor health among NEETs across the OECD countries. However, this is not the case within the United States where NEETs are less likely to be engaged in their communities and more likely to describe themselves as in poor health regardless of their educational attainment.

Education is the core of the factors that improved people for a better lifestyle and increases the level of society' development. Quality education is one of the most vital goals of Sustainable Development Goals (SDGs) due to actualizing these factors. Using relational network data envelopment analysis (DEA), which have three interrelated substages, this current paper computes the educational economy efficiency of the Organisation for Economic Co-operation and Development (OECD) countries bearing in mind the characteristics related to SDGs. The contribution of our study is the use of a novel approach to computing the educational economy efficiency using relational network DEA with GAMS. Even though some interesting differences reveal in the efficiency of the countries, the findings show that countries with high-efficiency scores are clustered around countries like Latvia, Slovenia, and Korea.

According to recommendations of the UN Secretary General's Global Education First Initiative, countries and regions require a number of structural changes if they are to implement educational policies and practice based on global citizenship education, and to promote respect and responsibility across cultures. In this paper, we present the first results of a three-year project to compare existing educational policies, strategies and school curricula in ten European Union (EU) countries (Austria, Bulgaria, Czech Republic, France, Ireland, Italy, Latvia, Spain, Portugal, UK) to ascertain the current level of such structural changes. Through a comparative policy analysis, we investigated whether, to what extent, and how global citizenship education is integrated within primary school curricula. The article focuses on national governmental agencies--specifically two main bodies in each country, the ministries of foreign affairs and education--and their political discourses. We argue that the gap between the two traditions, with separate approaches, purposes, concepts and bureaucracies, represents a strategic political challenge for the introduction of global citizenship education in primary schools.

Introduction: The prevalence rates of bullying vary significantly across countries and continents. Specifically, UNESCO estimates that the prevalence rates vary from 22.8% (CentralAmerica) to 48.2% (Sub-Saharan Africa). Recently these differences among countries andregions have been attributed to culture- and country-level variables. Thus, the first purpose ofthis study is to examine the comparability of bullying in schools across countries. Secondly, across-cultural comparison of the latent mean scores of bullying is implemented. Method: The data of 286,481 adolescent students (M=15.78, SD=0.29) from 32 countrieswere analyzed using multilevel confirmatory factor analyses (MLCFA) and multigroup factoralignment. Results: Results indicated that the meaning of bullying is equivalent within and between cultures. However, cross-cultural differences in bullying are apparent. East Asian countries havethe lowest latent means of bullying, while Southeast Asian countries have the highest means.Anglo-Saxon, Eastern European, Mediterranean, South American, and Middle East countriesdisplayed rather higher scores. Discussion and Conclusion: These findings underscore the existence of cross-cultural differential responding in bullying measures. Further, the implicit role of culture as an importantvariable that determines the rates of bullying is underscored.

Background: Data from the Programme for the International Assessment of Adult Competencies (PIAAC) revealed that countries systematically differ in their respondents' literacy, numeracy, and problem solving in technology-rich environments skills; skill levels also vary by gender, age, level of education or migration background. Similarly, systematic differences have been documented with respect to adults' participation in education, which can be considered as a means to develop and maintain skills. From a psychological perspective, motivation to learn is considered a key factor associated with both skill development and participation in (further) education. In order to account for motivation when analyzing PIAAC data, four items from the PIAAC background questionnaire were recently compiled into a motivation-to-learn scale. This scale has been found to be invariant (i.e., showing full weak and partial strong measurement invariance) across 21 countries. Methods: This paper presents further analyses using multiple-group graded response models to scrutinize the validity of the motivation-to-learn scale for group comparisons. Results: Results indicate at least partial strong measurement invariance across gender, age groups, level of education, and migration background in most countries under study (all CFI > 0.95, all RMSEA < 0.08). Thus, the scale is suitable for comparing both means and associations across these groups. Conclusions:Results are discussed in light of country characteristics, challenges of measurement invariance testing, and potential future research using PIAAC data.

The old myth about the ability and variability of potential in children is a comforting myth, for those who are uneasy with the degree of inequality they see and would rather seek to justify it than confront it. The myth of inherent potential helps some explain to themselves why they are privileged. Extend the myth to believe in inherited ability and some can come to believe that their children will inherit part of a greater potential. These beliefs create and sustain inequality in society and allow for the creation of levels of ignorance in populations. This article uses insights from social geography and the sociology of education to examine how the myths are sustained past and present. It notes that countries with the highest degree of income inequality and the most unequal education systems have the worst outcomes for young adults, and these are the countries in which eugenic notions of inherited ability are resurfacing.

This article focuses on analysing the effect of educational differentiation policies of OECD educational systems on socioeconomically disadvantaged students, based on data from PISA 2009. The analysis is conducted on the basis of a definition of two subgroups of disadvantaged students: those that achieve high scores, and those obtaining scores that are significantly below the average for their country. Educational systems are classified in four models following the classification proposed by N. Mons. Results show that the more integrated the educational system, the greater the number of disadvantaged high achievers, and the lower the number of disadvantaged low achievers.