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The paper presents a first global investigation of the longer-term inequality implications of COVID-19 by examining the effect of school closures on the ability of children from different countries and backgrounds to engage in continued learning throughout the pandemic, and their implications for intergenerational mobility in education. The analysis builds on the data from the Global Database of Intergenerational Mobility, country-specific results of the learning loss simulation model using weekly school closure information from February 2020 to February 2022, and high-frequency phone survey data collected by the World Bank during the pandemic to assess the incidence and quality of continued learning during periods of school closures across children from different backgrounds. Based on this information, the paper simulates counterfactual levels of educational attainment and corresponding absolute and relative intergenerational educational mobility measures with and without COVID-19 impacts, to arrive at estimates of COVID-19 impacts. The simulations suggest that the extensive school closures and associated learning losses are likely to have a significant impact on both absolute and relative intergenerational educational mobility in the absence of remedial measures. In upper-middle-income countries, the share of children with more years of education than their parents (absolute mobility) could decline by 8 percentage points, with the largest impacts observed in the Latin America region. Furthermore, unequal access to continued learning during school closures across children from households of different socioeconomic backgrounds (proxied by parental education levels) leads to a significant decline in relative educational mobility. [This report was prepared by the World Bank Poverty and Equity Global Practice & Education Global Practice.]

This paper presents credible and comparable evidence on intergenerational educational mobility in 53 developing countries using sibling correlation as a measure, and data from 230 waves of Demographic and Health Surveys. It is the first paper to provide estimates of sibling correlation in schooling for a large number of developing countries using high quality standardized data. Sibling correlation is an omnibus measure of mobility as it captures observed and unobserved family and neighborhood factors shared by siblings when growing up together. The estimates suggest that sibling correlation in schooling in developing countries is much higher (average 0.59) than that in developed countries (average 0.41). There is substantial spatial heterogeneity across regions, with Latin America and Caribbean having the highest (0.65) and Europe and Central Asia the lowest (0.48) estimates. Country level heterogeneity within a region is more pronounced. The evolution of sibling correlation suggests a variety of mobility experiences, with some regions registering a monotonically declining trend from the 1970s birth cohort to the 1990s birth cohort (Latin America and the Caribbean and East Asia and Pacific), while others remained trapped in stagnancy (South Asia and Sub-Saharan Africa). The only region that experienced monotonically increasing sibling correlation is the Middle East and North Africa. The recent approach of Bingley and Cappellari (2019) is used to estimate the share of sibling correlation due to intergenerational transmission. The estimates show that when the homogeneity and independence assumptions implicit in the standard model of intergenerational transmission are relaxed, the estimated share is much larger. In the sample of countries, on average 74 percent of sibling correlation can be attributed to intergenerational transmission, while there are some countries where the share is more than 80 percent (most in Sub-Saharan Africa). This suggests a dominant role for parents in determining the educational opportunities of their children. Evidence on the evolution of the intergenerational share, however, suggests a declining importance of the intergenerational transmission component in many countries, but the pattern is diverse. In some cases, the trend in the intergenerational share is opposite to the trend in sibling correlation. [This report was prepared by the World Bank Group's Development Research Group, Development Economics.]

The World Bank's focus on foundational skills requires that issues of language and Language of Instruction be brought to the forefront of education policy discussions. Poor Language of Instruction policies harm learning, access, equity, cost-effectiveness, and inclusion. Yet nearly 37% of students in low- and middle-income countries are taught in a language they do not understand. Massive learning improvements are feasible by teaching in a small number of additional languages. The World Bank's first Policy Approach Paper on Language of Instruction offers an indication of the work that will be undertaken to support countries in introducing reforms that will result in more resilient, equitable, and effective systems by promoting teaching in the languages that students and teachers speak and understand best. [The report was edited by John Steinhardt.]

This paper looks at how countries have mobilized additional resources for education and assesses their impact on access and learning outcomes, using the World Bank's new Learning-Adjusted Years of Schooling measure. The paper shows that global spending on education has risen significantly over the past two decades, although spending as a share of gross domestic product has remained relatively unchanged, at about 4.5 percent. However, global trends mask large differences across regions and country income groups. For example, low-income countries recorded the largest increases in terms of the share of GDP spent on education, but the absolute amount they devoted to education remained low compared to other countries. Economic growth has been the main driver of increases in public education spending. Yet, countries that achieved the largest and most rapid spending increases did this through a combination of increases in overall government revenues, a greater prioritization of education in the government budget as well as healthy economic growth. Increases in public education spending did not generally result in major improvements in average education outcomes. Using the available data, the paper shows that a doubling of government spending per child led to an increase in learning-adjusted years of schooling of only half a year. Preliminary findings also show that countries with lower efficiency and spending are expected to get the most from increases in spending in improved education outcomes. The paper concludes by outlining an approach that allows countries to assess their potential for increasing education funding and the expected effects on their education outcomes, based on benchmarks drawing from the data of comparable countries. It also underscores the urgent need to improve data on public education spending and education outcomes, to extend this analysis to cover a wider set of countries and increase the robustness of country-level benchmarks. [This paper is a product of the Education Global Practice.]

The number of countries that regularly participate in international large-scale assessments has increased sharply over the past 15 years, with the share of countries participating in the Programme for International Student Assessment growing from one-fifth of countries in 2000 to over one-third of countries in 2015. What accounts for this increase? This paper explores the evidence for three broad explanations: globalization of assessments, increasing technical capacity for conducting assessments, and increased demand for the microeconomic and macroeconomic data from these assessments. Data were compiled from more than 200 countries for this analysis, for six time periods between 2000 and 2015, yielding more than 1,200 observations. The data cover each country's participation in each of six cycles of PISA as it relates to the country's level of economic development, region, prior experience with assessment, and OECD membership. The results indicate that the odds of participation in PISA are markedly higher for OECD member countries, countries in the Europe and Central Asia region, high- and upper-middle-income countries, and countries with previous national and international assessment experience; the paper also finds that regional assessment experience is unrelated to PISA participation.

As the world seeks to build back better into a new era of green and equitable economic growth, tertiary education systems are at the heart of the big transformations required throughout economies and societies. Tertiary education is vital for the development of human capital and innovation. Strategic and effective investments in tertiary education can serve every country - from the poorest to the richest - by developing its talent and leadership pool, generating, and applying knowledge to local and global challenges, and participating in the global knowledge economy. Effective tertiary education sectors ensure that countries have well-trained doctors, nurses, teachers, managers, engineers, and technicians who are the main actors of effective education and health service delivery and public and private sector development. Decades of insufficient and ineffective investment in postsecondary education and the advanced skills developed through higher learning opportunities have only exacerbated global equity gaps. This paper describes the approach of the World Bank to support the development of effective, equitable, efficient, and resilient tertiary education systems and institutions. It discusses and illustrates five principles that guide the Bank's financial and policy advisory support to STEER tertiary education systems toward optimizing their contribution to equitable and green growth: (i) building diversified Systems, (ii) investing smartly in new Technologies, (iii) ensuring Equity in access and financing, (iv) achieving Efficiency in resource utilization, and (v) acquiring Resilience in service delivery so that learning continues.

Education systems in under-resourced environments face several challenges, some of them exacerbated by the COVID-19 pandemic. A possible way to address some of the challenges is to apply information and communication technologies. However, effectively integrating technology into education systems is a complex task. In this paper, factors contributing to successful integration of technology in education are explored, with a focus on under-resourced contexts. Case studies of successful technology implementation in education systems are discussed and analyzed to identify the factors that drive success. The analysis is framed using the reform strategy offered by The World Development Report 2018 ("Learning to Realize Education's Promise"). This is expected to provide policymakers and practitioners a way to align their education technology initiatives and strategies with the larger education reform agenda. Key lessons identified from the analysis are as follows. First, it is necessary to articulate "what" precisely does the technology intervention change/enable. Second, it is important to better understand the context to develop technologies and implementation strategies that fit the operating context. Third, it is essential to regularly monitor and evaluate programs and to feed that information into continuously improving design and implementation. Fourth, through the entire cycle of technology implementation, stakeholders must be consulted, understood, and empowered. However small the intervention, realizing the potential of technology tools in education requires keeping in mind the big picture offered by these lessons. [For "Learning to Realize Education's Promise. World Development Report, 2018," see ED604389.]