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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.]

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.]

Education is recognized to be a key factor of economic development, not only giving access to technological progress as emphasized by the Schumpeterian growth theory, but also entailing numerous social externalities such as the demographic transition (Murtin, 2009) or democratization (Murtin and Wacziarg, 2010). If the evolution of world distributions of income and longevity over the last two centuries have been described by Bourguignon and Morrisson (2002), changes in the world distribution of education have remained unexplored until now, despite their major importance. How has global education inequality evolved over the twentieth century? How should it be measured? Up to now, existing studies on education inequality have had limited spatial and time coverage. For example, Castello and Domenech (2002) and Thomas et al. (2001) provide a descriptive analysis of years of schooling inequality for a broad panel of countries, but their study starts only in 1960. Also, they remain at the country level and do not consider the world distribution of years of schooling, which takes into account educational differences both within and between countries. In contrast, this paper depicts the world distribution of education over 140 years, improving and extending the database recently released by Morrisson and Murtin (2009), which focuses on average years of schooling. The authors provide both average years of schooling and the distribution of education as summarised up by four quantiles in each country. Importantly, this new database is cross-validated by historical data on illiteracy rates. Then, they describe average stocks of primary, secondary and tertiary schooling by region since 1870, and estimate world inequality in years of schooling, which has been dramatically reduced since 1870. Focusing on the measurement of education inequality, this paper raises an important methodological issue. The authors show that a substantial share of inequality in years of schooling can be mechanically explained by a single component of the distribution of education, namely the population that has not attended school, subsequently called the illiterate population. Actually, they find that the observed decrease in inequality in years of schooling over the XXth century is almost entirely explained by the decline in illiteracy. They believe that this result, derived both theoretically and empirically, could help to reconsider an empirical fact discussed in the literature on education inequality (see Berthelemy (2006)), namely the cross-country negative correlation between the average of and the inequality in years of schooling. This correlation mainly reflects the negative and mechanical correlation between average schooling and the illiteracy rate. In line with a recent macroeconomic literature (see for instance Hall and Jones (1999)), the authors then turn to human capital as defined by Mincer (1974), in order to confer a monetary dimension to education. They propose estimates of the world inequality in human capital, examining several definitions for human capital. They focus on one functional form in particular, which accounts for the existence of diminishing returns to schooling. It is the only one that can account for the cross-country negative correlation between Mincer returns to schooling and average years of schooling, as described by Psacharopoulos and Patrinos (2004). At the national level, they find that that human capital inequality within countries has increased then stabilized or even decreased in most regions of the world. When plotted against average years of schooling, human capital inequality within countries has clearly followed an inverted U-shape curve, namely a "Kuznets curve of education". At the global level, they also find that human capital inequality has increased from 1870 to approximatively 1970, then has decreased. They interpret these findings as a consequence of mass education and the existence of diminishing returns to schooling. (Contains 6 tables, 6 figures and 14 footnotes.)

This literature review interrogates current international writing about inclusive education (IE) in regional and remote settings, with explicit reference to Australian considerations, including the emergent National Curriculum. The task of this review has been to establish the types of knowledge reported about IE in minority, marginalized and "other" inclusive educational settings, and to locate the absences of knowledge that the current literature indicates. Finally, future directions for research into IE in minority educational settings are proposed. (Contains 4 footnotes.)