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  • HTW Berlin  (2)
  • Stiftung FVV
  • Azevedo, Joao Pedro
  • 1
    UID:
    b3kat_BV049079635
    Umfang: 1 Online-Ressource (49 Seiten)
    Inhalt: This paper presents updated simulation results of the potential effects of COVID-19-related school closures on learning outcomes globally. The simulation, which updates and extends prior work by Azevedo, Hasan and others (2021) and Azevedo (2020), examines potential learning losses as the pandemic moves into the third year. Beyond reflecting the longer duration of the crisis, the paper extends prior work by using country-specific observed school closure information, accounts for the partial reopening of some education systems, updates the baseline Learning Poverty estimates to reflect its best estimate to date just before the pandemic (circa 2019), and uses updated June 2021 macroeconomic projections to reflect the economic magnitude of the crisis. The analysis finds that the overall learning levels are likely to fall substantially around the world. Under an "intermediate" scenario, school closures could potentially increase the share of children in Learning Poverty in low- and middle-income countries by 13 percentage points, to 70 percent. Globally, learning adjusted years of schooling could fall by 1.1 years, and the share of youth below minimum proficiency on the Programme for International Student Assessment could rise by 12.3 percentage points. Furthermore, school shutdowns could generate lifetime earning losses of USD 21 trillion. These results imply that decisive action is needed to recover and accelerate learning
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe Azevedo, Joao Pedro Learning Losses during COVID-19: Global Estimates of an Invisible and Unequal Crisis Washington, D.C. : The World Bank, 2022
    Sprache: Englisch
    URL: Volltext  (URL des Erstveröffentlichers)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    UID:
    b3kat_BV049081879
    Umfang: 1 Online-Ressource (65 Seiten)
    Inhalt: In October 2019, the World Bank and UNESCO Institute for Statistics proposed a new metric, Learning Poverty, designed to spotlight low levels of learning and track progress toward ensuring that all children acquire foundational skills. This paper provides the technical background for that indicator, and for its main findings-first, that even before COVID-19, 53 percent of all children in low- and middle-income countries could not read with comprehension by age 10, and second, that at pre-COVID-19 trends, the Learning Poverty rate was on track to fall only to 44 percent by 2030, far short of the universal literacy envisioned under the Sustainable Development Goals. The paper contributes to the literature in four ways. First, it formally describes the new synthetic Learning Poverty metric, which combines the dimensions of learning with schooling and thus reflects the learning of all children, and it presents, for the first time, standard errors associated with the proposed measure. Second, it documents how this indicator is calculated at the country, regional, and global levels, and discusses the robustness associated with different aggregation approaches. Third, it documents historical rates of progress and compares them with the rate of progress that would be required for countries to halve Learning Poverty by 2030, as envisioned under the learning target announced by the World Bank in 2019. Fourth, it provides heterogeneity analysis by gender, region, and other variables, and documents learning poverty's strong correlation with metrics of learning for other ages. These results show that the Learning Poverty indicator, together with improved measurement of learning, can be used as an evidence-based tool to promote progress toward all children reading by age 10-a prerequisite for achieving all the ambitious education aspirations included under Sustainable Development Goals 4
    Sprache: Englisch
    URL: Volltext  (URL des Erstveröffentlichers)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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