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The digital divide in online education: Inequality in digital readiness of students and schools
The COVID-19 pandemic has disordered the educational process across the globe, as schools suddenly had to provide their teaching in an online environment. One question that raised immediate concern is the potential impact of this forced and rapid digitalization on inequalities in the learning proces...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9435462/ http://dx.doi.org/10.1016/j.caeo.2022.100100 |
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author | van de Werfhorst, Herman G. Kessenich, Emma Geven, Sara |
author_facet | van de Werfhorst, Herman G. Kessenich, Emma Geven, Sara |
author_sort | van de Werfhorst, Herman G. |
collection | PubMed |
description | The COVID-19 pandemic has disordered the educational process across the globe, as schools suddenly had to provide their teaching in an online environment. One question that raised immediate concern is the potential impact of this forced and rapid digitalization on inequalities in the learning process by social class, migration background and gender. Elaborating on the literature on the digital divide, we study inequalities in multi-level digital readiness of students and schools before the pandemic took place. Using data from the International Computer and Information Literacy Study (ICILS) on seven countries, and the Teaching and Learning International Survey (TALIS) on 45 countries, both from 2018, we demonstrate that schools and students vary in their readiness for digital education. However, school variation in digital readiness is not systematically related to student composition by SES and migration background. We thus find little evidence for a hypothesized ‘multi-level’ digital divide, which would result from systematic gradients in the readiness of school environments for digital education by student composition. More important drivers for a digital divide during the COVID-19 pandemic are the ICT skills students have, which are strongly related to students’ socioeconomic background. For digital education to be effective for every student, it is important that schools focus on improving students’ digital skills. |
format | Online Article Text |
id | pubmed-9435462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94354622022-09-01 The digital divide in online education: Inequality in digital readiness of students and schools van de Werfhorst, Herman G. Kessenich, Emma Geven, Sara Computers and Education Open Article The COVID-19 pandemic has disordered the educational process across the globe, as schools suddenly had to provide their teaching in an online environment. One question that raised immediate concern is the potential impact of this forced and rapid digitalization on inequalities in the learning process by social class, migration background and gender. Elaborating on the literature on the digital divide, we study inequalities in multi-level digital readiness of students and schools before the pandemic took place. Using data from the International Computer and Information Literacy Study (ICILS) on seven countries, and the Teaching and Learning International Survey (TALIS) on 45 countries, both from 2018, we demonstrate that schools and students vary in their readiness for digital education. However, school variation in digital readiness is not systematically related to student composition by SES and migration background. We thus find little evidence for a hypothesized ‘multi-level’ digital divide, which would result from systematic gradients in the readiness of school environments for digital education by student composition. More important drivers for a digital divide during the COVID-19 pandemic are the ICT skills students have, which are strongly related to students’ socioeconomic background. For digital education to be effective for every student, it is important that schools focus on improving students’ digital skills. The Authors. Published by Elsevier Ltd. 2022-12 2022-07-21 /pmc/articles/PMC9435462/ http://dx.doi.org/10.1016/j.caeo.2022.100100 Text en © 2022 The Authors. Published by Elsevier Ltd. 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 van de Werfhorst, Herman G. Kessenich, Emma Geven, Sara The digital divide in online education: Inequality in digital readiness of students and schools |
title | The digital divide in online education: Inequality in digital readiness of students and schools |
title_full | The digital divide in online education: Inequality in digital readiness of students and schools |
title_fullStr | The digital divide in online education: Inequality in digital readiness of students and schools |
title_full_unstemmed | The digital divide in online education: Inequality in digital readiness of students and schools |
title_short | The digital divide in online education: Inequality in digital readiness of students and schools |
title_sort | digital divide in online education: inequality in digital readiness of students and schools |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9435462/ http://dx.doi.org/10.1016/j.caeo.2022.100100 |
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