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Modelling the long-run learning impact of the Covid-19 learning shock: Actions to (more than) mitigate loss
This paper uses a calibrated “pedagogical production function” model to estimate the potential long-term losses to children’s learning from the temporary shock of Covid-19 related school closures. It then models possible gains from two mitigation strategies. Without mitigation, children could lose m...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author. Published by Elsevier Ltd.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923185/ https://www.ncbi.nlm.nih.gov/pubmed/33716394 http://dx.doi.org/10.1016/j.ijedudev.2020.102326 |
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author | Kaffenberger, Michelle |
author_facet | Kaffenberger, Michelle |
author_sort | Kaffenberger, Michelle |
collection | PubMed |
description | This paper uses a calibrated “pedagogical production function” model to estimate the potential long-term losses to children’s learning from the temporary shock of Covid-19 related school closures. It then models possible gains from two mitigation strategies. Without mitigation, children could lose more than a full year’s worth of learning from a three-month school closure because they will be behind the curriculum when they re-enter school and will fall further behind as time goes on. Remediation when children return to school reduces the long-term learning loss by half, but still leaves children more than half a year behind where they would have been with no shock. Remediation combined with long-term reorientation of curriculum to align with children’s learning levels fully mitigates the long-term learning loss due to the shock and surpasses the learning in the counterfactual of no shock by more than a full year’s worth of learning. Systems need to begin planning now for remediation programmes, and as they do so they should build programmes and train teachers in ways that can continue to produce benefits beyond the period immediately following reopening. |
format | Online Article Text |
id | pubmed-7923185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79231852021-03-12 Modelling the long-run learning impact of the Covid-19 learning shock: Actions to (more than) mitigate loss Kaffenberger, Michelle Int J Educ Dev Article This paper uses a calibrated “pedagogical production function” model to estimate the potential long-term losses to children’s learning from the temporary shock of Covid-19 related school closures. It then models possible gains from two mitigation strategies. Without mitigation, children could lose more than a full year’s worth of learning from a three-month school closure because they will be behind the curriculum when they re-enter school and will fall further behind as time goes on. Remediation when children return to school reduces the long-term learning loss by half, but still leaves children more than half a year behind where they would have been with no shock. Remediation combined with long-term reorientation of curriculum to align with children’s learning levels fully mitigates the long-term learning loss due to the shock and surpasses the learning in the counterfactual of no shock by more than a full year’s worth of learning. Systems need to begin planning now for remediation programmes, and as they do so they should build programmes and train teachers in ways that can continue to produce benefits beyond the period immediately following reopening. The Author. Published by Elsevier Ltd. 2021-03 2020-12-18 /pmc/articles/PMC7923185/ /pubmed/33716394 http://dx.doi.org/10.1016/j.ijedudev.2020.102326 Text en © 2020 The Author Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Kaffenberger, Michelle Modelling the long-run learning impact of the Covid-19 learning shock: Actions to (more than) mitigate loss |
title | Modelling the long-run learning impact of the Covid-19 learning shock: Actions to (more than) mitigate loss |
title_full | Modelling the long-run learning impact of the Covid-19 learning shock: Actions to (more than) mitigate loss |
title_fullStr | Modelling the long-run learning impact of the Covid-19 learning shock: Actions to (more than) mitigate loss |
title_full_unstemmed | Modelling the long-run learning impact of the Covid-19 learning shock: Actions to (more than) mitigate loss |
title_short | Modelling the long-run learning impact of the Covid-19 learning shock: Actions to (more than) mitigate loss |
title_sort | modelling the long-run learning impact of the covid-19 learning shock: actions to (more than) mitigate loss |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923185/ https://www.ncbi.nlm.nih.gov/pubmed/33716394 http://dx.doi.org/10.1016/j.ijedudev.2020.102326 |
work_keys_str_mv | AT kaffenbergermichelle modellingthelongrunlearningimpactofthecovid19learningshockactionstomorethanmitigateloss |