Education data needs and challenges for building back from COVID-19
The COVID-19 pandemic has led governments worldwide to impose extensive restrictions on citizens, some of which may have long-term impact after their removal. Education is arguably the policy domain where closure policies are anticipated to lead to greatest lasting loss, in this case learning loss....
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2023-06-01
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Series: | Epidemics |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1755436523000099 |
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author | Filipe Recch Anna Petherick Rachel Hinton Radhika Nagesh Rodrigo Furst Rafael Goldszmidt |
author_facet | Filipe Recch Anna Petherick Rachel Hinton Radhika Nagesh Rodrigo Furst Rafael Goldszmidt |
author_sort | Filipe Recch |
collection | DOAJ |
description | The COVID-19 pandemic has led governments worldwide to impose extensive restrictions on citizens, some of which may have long-term impact after their removal. Education is arguably the policy domain where closure policies are anticipated to lead to greatest lasting loss, in this case learning loss. Currently, limited data exists from which researchers and practitioners can draw insightful conclusions about how to remedy the problem. In this paper, we outline the global pattern in pandemic school-closure periods and illustrate data needs through the examples drawn from Brazil and India, two large countries which experienced prolonged periods of school closures during the pandemic. We conclude with a series of recommendations for building an improved data environment at government, school and household levels, to serve the building back agenda in education, and to provide better opportunities for evidence-based policymaking thereafter. |
first_indexed | 2024-03-13T05:57:32Z |
format | Article |
id | doaj.art-0549d8eb37c6465eb73b32a8a88e974d |
institution | Directory Open Access Journal |
issn | 1755-4365 |
language | English |
last_indexed | 2024-03-13T05:57:32Z |
publishDate | 2023-06-01 |
publisher | Elsevier |
record_format | Article |
series | Epidemics |
spelling | doaj.art-0549d8eb37c6465eb73b32a8a88e974d2023-06-13T04:12:00ZengElsevierEpidemics1755-43652023-06-0143100673Education data needs and challenges for building back from COVID-19Filipe Recch0Anna Petherick1Rachel Hinton2Radhika Nagesh3Rodrigo Furst4Rafael Goldszmidt5Blavatnik School of Government, University of Oxford, United Kingdom; Correspondence to: Blavatnik School of Government, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, United Kingdom.Blavatnik School of Government, University of Oxford, United KingdomBlavatnik School of Government, University of Oxford, United Kingdom; Foreign Commonwealth and Development Office, United KingdomBlavatnik School of Government, University of Oxford, United KingdomBrazilian School of Public and Business Administration, Getulio Vargas Foundation, Rio de Janeiro, BrazilBrazilian School of Public and Business Administration, Getulio Vargas Foundation, Rio de Janeiro, BrazilThe COVID-19 pandemic has led governments worldwide to impose extensive restrictions on citizens, some of which may have long-term impact after their removal. Education is arguably the policy domain where closure policies are anticipated to lead to greatest lasting loss, in this case learning loss. Currently, limited data exists from which researchers and practitioners can draw insightful conclusions about how to remedy the problem. In this paper, we outline the global pattern in pandemic school-closure periods and illustrate data needs through the examples drawn from Brazil and India, two large countries which experienced prolonged periods of school closures during the pandemic. We conclude with a series of recommendations for building an improved data environment at government, school and household levels, to serve the building back agenda in education, and to provide better opportunities for evidence-based policymaking thereafter.http://www.sciencedirect.com/science/article/pii/S1755436523000099EducationSchoolCOVIDLearningBrazilIndia |
spellingShingle | Filipe Recch Anna Petherick Rachel Hinton Radhika Nagesh Rodrigo Furst Rafael Goldszmidt Education data needs and challenges for building back from COVID-19 Epidemics Education School COVID Learning Brazil India |
title | Education data needs and challenges for building back from COVID-19 |
title_full | Education data needs and challenges for building back from COVID-19 |
title_fullStr | Education data needs and challenges for building back from COVID-19 |
title_full_unstemmed | Education data needs and challenges for building back from COVID-19 |
title_short | Education data needs and challenges for building back from COVID-19 |
title_sort | education data needs and challenges for building back from covid 19 |
topic | Education School COVID Learning Brazil India |
url | http://www.sciencedirect.com/science/article/pii/S1755436523000099 |
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