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....

Full description

Bibliographic Details
Main Authors: Filipe Recch, Anna Petherick, Rachel Hinton, Radhika Nagesh, Rodrigo Furst, Rafael Goldszmidt
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Epidemics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436523000099
_version_ 1827927760455073792
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
work_keys_str_mv AT filiperecch educationdataneedsandchallengesforbuildingbackfromcovid19
AT annapetherick educationdataneedsandchallengesforbuildingbackfromcovid19
AT rachelhinton educationdataneedsandchallengesforbuildingbackfromcovid19
AT radhikanagesh educationdataneedsandchallengesforbuildingbackfromcovid19
AT rodrigofurst educationdataneedsandchallengesforbuildingbackfromcovid19
AT rafaelgoldszmidt educationdataneedsandchallengesforbuildingbackfromcovid19