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Intersectionality highlights that different aspects of individuals' identities are not independent of each other. Instead, they interact to create unique identities and experiences, which cannot be understood by analysing each identity dimension separately or in isolation from their social and historical contexts. Intersectional approaches in this way question the common classification of individuals into groups (male vs. female, immigrant vs. native etc.), which raises important implications for the policy-making process. In education, analyses with an intersectional lens have the potential to lead to better tailored and more effective policies and interventions related to participation, learning outcomes, students' attitudes towards the future, identification of needs, and socio-emotional well-being. Consequently, as elaborated in this paper, some countries have adjusted their policies in the areas of governance, resourcing, developing capacity, promoting school-level interventions and monitoring, to account for intersectionality. Gaps and challenges related to intersectional approaches are also highlighted.

Principals (policy makers) have debated the progress in U.S. student performance for a half century or more. Informing these conversations, survey agents have administered seven million psychometrically linked tests in math and reading in 160 waves to national probability samples of selected cohorts born between 1954 and 2007. This study is the first to assess consistency of results by agency. We find results vary by agent, but consistent with Flynn effects, gains are larger in math than reading, except for the most recent period. Non-whites progress at a faster pace. Socio-economically disadvantaged white, black, and Hispanic students make greater progress when tested in elementary school, but that advantage attenuates and reverses itself as students age. We discuss potential moderators.

The OECD Future of Education and Skills 2030 (E2030) project's overall goal is that of looking to the future in terms of how school curricula should evolve given the technological advances and other changes that societies are now facing. Towards that end, the E2030 project centres on the idea that education needs to equip students with the knowledge, skills, attitudes and values they need to become active, responsible and engaged citizens. Mathematics is considered a highly relevant subject for achieving the above stated goals, as such it requires further and more detailed analysis. As a result, it has been chosen as one of the E2030 project's subject-specific analyses. The project has been named the Mathematics Curriculum Document Analysis (MCDA) study as per the request of participating countries. This working paper presents the findings of the MCDA study, which involves participants from 19 countries and jurisdictions.

Governments recognise that careers guidance, underpinned by accurate labour market information, can help learners make post-secondary education choices that match their interests, aptitudes and abilities, and lead to rewarding employment. For this reason, they have invested in building linked education/employment information systems and other information resources which are displayed on websites targeted to learners and their families. However, researchers and governments agree that these efforts are often ineffective in informing learners' decisions -- access to information is not sufficient to provide effective support to student choice. Drawing upon the insights of behavioural economics, this paper examines how learners access and use information, and what this implies for the design of public study and career choice websites that aim to effectively support student choice. The report also takes stock of the career guidance websites in use in the majority of OECD countries, and sets out to provide actionable advice for policy makers to guide the design of effective information policy levers that support student choice.

The worldwide school closures in early 2020 led to losses in learning that will not easily be made up for even if schools quickly return to their prior performance levels. These losses will have lasting economic impacts both on the affected students and on each nation unless they are effectively remediated. While the precise learning losses are not yet known, existing research suggests that the students in grades 1-12 affected by the closures might expect some 3 percent lower income over their entire lifetimes. For nations, the lower long-term growth related to such losses might yield an average of 1.5 percent lower annual GDP for the remainder of the century. These economic losses would grow if schools are unable to re-start quickly. The economic losses will be more deeply felt by disadvantaged students. All indications are that students whose families are less able to support out-of-school learning will face larger learning losses than their more advantaged peers, which in turn will translate into deeper losses of lifetime earnings. The present value of the economic losses to nations reach huge proportions. Just returning schools to where they were in 2019 will not avoid such losses. Only making them better can. While a variety of approaches might be attempted, existing research indicates that close attention to the modified re-opening of schools offers strategies that could ameliorate the losses. Specifically, with the expected increase in video-based instruction, matching the skills of the teaching force to the new range of tasks and activities could quickly move schools to heightened performance. Additionally, because the prior disruptions are likely to increase the variations in learning levels within individual classrooms, pivoting to more individualised instruction could leave all students better off as schools resume. As schools move to re-establish their programmes even as the pandemic continues, it is natural to focus considerable attention on the mechanics and logistics of safe re-opening. But the long-term economic impacts also require serious attention, because the losses already suffered demand more than the best of currently considered re-opening approaches.

Are teachers and principals aligned in their perceptions of the core components of the theory of Leadership for Learning across countries, or are there subgroups of schools in which there is misalignment? The purpose of this study is to examine the extent to which a congruency-typology model of leadership for learning is distributed across countries/economies using the TALIS 2018 dataset through examining the interaction of significantly different subgroups of teacher and principal responders through using multilevel latent class analysis (LCA) with a cross-level interaction. I analyse data from lower secondary schools of n=152 635 teachers in 9 079 schools and their principals across 47 countries/economies. Currently in the research literature on school leadership, leadership for learning has emerged as a framework to bring together managerial, transformational, distributed, and instructional leadership. Yet little is known about leadership for learning across national contexts. This study 1) maps the TALIS 2018 survey items to the current literature and surveys for leadership for learning, 2) then details the methods and analysis framework to examine if there are multiple significantly different types of teachers, principals, and schools from a leadership for learning theory framework. The final model 3) identifies a three-group teacher typology and a three-group principal typology, linking these types to school context, covariates, as well as teacher and principal training and experience. Results relate directly to the intersection of research, policy, and practice for training and capacity of school leaders across 47 countries/economies globally.

The recent refugee crisis has put many Organisation for Economic Cooperation and Development (OECD) countries under considerable pressure to accommodate and integrate large numbers of refugees. Refugee students are a particularly vulnerable group due to their forced displacement, but their needs are not always met by education systems, which can hinder the integration potential of these students. This poses considerable challenges as the integration of refugee students in education systems is important for their academic outcomes as well as their social and emotional well-being. The success (or lack of) integration in schools can also affect the future labour market and social integration potential of these children and youth. While there is a growing body of research on the integration of immigrants, policy-relevant research on refugee children and youth from an educational perspective is rather limited, fragmented and case specific. Detailed surveys and research projects focusing on the current wave of refugees that allow for cross-country comparisons are not yet available. Drawing on research from previous refugee waves, the paper examines key needs of refugee students and factors that promote their integration. It proposes a holistic model of integration in education that responds to the learning, social and emotional needs of refugee students. Furthermore, the paper examines what type of policies and practices are in place in OECD countries that support the integration of refugee students. Nonetheless, evaluations of practices and policies are often missing, which makes it difficult to assess whether they are successful. The paper finishes with some policy pointers on how to promote the integration of refugee students.

This paper explores the impact of test-taking conditions on the quality of the Programme for the International Assessment of Adult Competencies (PIAAC) assessment. Interviewers record information about the room of assessment and interruptions that occurred during each interview. These observations, along with information on interviewer assignment size and a careful look at interviewer effects, provide insights into the quality of the assessment. This working paper first describes the variations in test-taking conditions among participating countries. Second, it examines interviewer assignment sizes and the frequency of interruptions, finding that both vary markedly among countries (contrary to the room of assessment). The paper then looks at the relationship between these variations and response rates and engagement measures. While neither the room of assessment nor the recorded interruptions impact quality differences among countries, interviewer assignment size and interviewer effects may have a mild impact on results.

This paper looks at the importance of mechanisms that give formal recognition to vocational skills acquired through work-based learning and how such mechanisms might be developed. It describes how skill recognition can benefit individuals, employers and society as a whole, and identifies in which contexts skill recognition has the highest potential to bring benefits. The focus is on three tools that are commonly used to shorten the path to a formal qualification: admission into a programme, reduced programme duration and qualification without a mandatory programme. For each of these tools, this paper sets out country approaches, discusses common challenges that arise in their implementation and advances policy messages to support policy design and implementation.

Differences in teacher quality are commonly cited as a key determinant of the huge international student performance gaps. However, convincing evidence on this relationship is still lacking, in part because it is unclear how to measure teacher quality consistently across countries. We use unique international assessment data to investigate the role of teacher cognitive skills as one main dimension of teacher quality in explaining student outcomes. Our main identification strategy exploits exogenous variation in teacher cognitive skills attributable to international differences in relative wages of nonteacher public sector employees. Using student-level test score data, we find that teacher cognitive skills are an important determinant of international differences in student performance. Results are supported by fixed-effects estimation that uses within-country between-subject variation in teacher skills.