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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.

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.

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 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.

Resilience refers to the capacity of individuals to prosper despite encountering adverse circumstances. This paper defines academic resilience as the ability of 15-year-old students from disadvantaged backgrounds to perform at a certain level in the Programme for International Student Assessment (PISA) in reading, mathematics and science that enables them to play an active role in their communities and prepares them to make the most of lifelong-learning opportunities. Using data from the most recent PISA cycles, this paper explores changes in the share of resilient students over time (2006-2015); highlights the importance of school environments and resources in mitigating the risk of low achievement for disadvantaged students; and identifies school-level factors that are associated with the likelihood of academic resilience among socio-economically disadvantaged students. Analyses reveal that several countries were able to increase the share of resilient students over time, reflecting improvements in the average performance of students, or a weaker relationship between socio-economic status and performance. In the vast majority of education systems examined, the likelihood of academic resilience among disadvantaged students is lower in schools where students report a negative classroom climate. The paper concludes by exploring school policies and practices that are associated with a positive classroom climate. [This work was supported by a contribution to the PISA programme of work from Vodafone Germany Foundation.]

In this study, we investigated how empirical indicators of test-taking engagement can be defined, empirically validated, and used to describe group differences in the context of the Programme of International Assessment of Adult Competences (PIAAC). The approach was to distinguish between disengaged and engaged response behavior by means of response time thresholds. Constant thresholds of 3000 ms and 5000 ms were considered, as well as item-specific thresholds based on the visual inspection of (bimodal) response time distributions (VI method) and the proportion correct conditional on response time (P+>0% method). Overall, the validity checks comparing the proportion correct of engaged and disengaged response behavior by domain and by item showed that the P+>0% method performed slightly better than the VI method and the methods assuming constant thresholds. The results for Literacy and Numeracy by module revealed that there was an increase from Module 1 to Module 2 in the proportion of disengaged responses, suggesting a drop in test-taking engagement. The investigation of country differences in test-taking engagement by domain using the P+>0% method showed that the proportion of responses classified as disengaged was quite low. For Literacy, the proportion was well below 5% for the majority of countries; in Numeracy, the proportion was even smaller than 1% for almost all countries; while for Problem solving, the proportion of disengaged responses was more than 5% but usually well below 10%. There were significant differences in test-taking engagement between countries; the obtained effect sizes were small to medium. Population differences in test-taking engagement were highly correlated between the three domains, suggesting that test-taking engagement can be conceived as a consistent characteristic. Furthermore, there was a clear negative association between test-taking disengagement and proficiency in Literacy, Numeracy and Problem solving, respectively. Finally, subgroup differences for gender, age, educational attainment, and language proved to be insignificant or very small. Results suggest that males tend to be more disengaged, that disengagement increases with age in Problem solving, with lower educational attainment and when the test language is not the same as a testee's native language. Appended are: (1) Country differences in test-taking engagement; and (2) Subgroup differences in test-taking engagement.

Using the 2012 PIAAC data, our analysis confirms that there are significantly higher earnings and employment returns to "both" increasing levels of formally recognised education, and to increasing levels of numeracy, literacy and information and communication technologies (ICT) skills proficiencies controlling for the level of education. Unsurprisingly, the labour market returns to changes in formally recognised levels of education in general exceed the labour market returns associated with increasing levels of skills proficiency. In the case of literacy and numeracy proficiencies, improved literacy and numeracy skills narrow the labour market outcomes gap between individuals with different levels of formally recognised education, but do not close it completely. The analysis demonstrates more substantial returns to ICT skills. Furthermore, possession of higher levels of ICT skills and lower levels of formally recognised qualification are often associated with higher returns compared to individuals with higher levels of formally recognised education but lower ICT proficiency levels. In other words, ICT skills proficiencies often entirely compensate for lower formally recognised qualifications in the labour market. Contains the following annexes: (1) Country Literacy and Numeracy Profiles; and (2) Demographic Control Variables.