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Social network for collaborative learning: what are the determining factors?
Despite the disruptiveness caused by the COVID-19 pandemic in the Global South, the superficial and lacklustre use of information technology has been exposed, especially in the education sector. Meanwhile, the early stages of the pandemic saw academic institutions racing up to harness digital learni...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684882/ https://www.ncbi.nlm.nih.gov/pubmed/36466581 http://dx.doi.org/10.1007/s10209-022-00942-3 |
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author | Boruzie, Paschal Kpimekuu Kolog, Emmanuel Awuni Afful-Dazie, Eric Egala, Sulemana Bankuoru |
author_facet | Boruzie, Paschal Kpimekuu Kolog, Emmanuel Awuni Afful-Dazie, Eric Egala, Sulemana Bankuoru |
author_sort | Boruzie, Paschal Kpimekuu |
collection | PubMed |
description | Despite the disruptiveness caused by the COVID-19 pandemic in the Global South, the superficial and lacklustre use of information technology has been exposed, especially in the education sector. Meanwhile, the early stages of the pandemic saw academic institutions racing up to harness digital learning solutions, including social networks, to facilitate teaching and learning. By sampling 360 students from higher education institutions (HEIs) in Ghana, a partial least square structural equation modelling, in this study, was leveraged to explore the determinants of using social networks for collaborative learning. After analysing the data, this study shows that perceived ease of use of social networks, perceived usefulness of social networks, perceived enjoyment from social network use, subjective norm, and user satisfaction were the main determinants that influence students’ attitudes towards the use of social networks for collaborative learning. Additionally, the study found social networks as a useful tool for improving the academic performance of students in HEIs. We therefore envision that this study would influence policy, practice, and research on the use of social networks for teaching and learning in HEIs in the Global South. |
format | Online Article Text |
id | pubmed-9684882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-96848822022-11-28 Social network for collaborative learning: what are the determining factors? Boruzie, Paschal Kpimekuu Kolog, Emmanuel Awuni Afful-Dazie, Eric Egala, Sulemana Bankuoru Univers Access Inf Soc Long Paper Despite the disruptiveness caused by the COVID-19 pandemic in the Global South, the superficial and lacklustre use of information technology has been exposed, especially in the education sector. Meanwhile, the early stages of the pandemic saw academic institutions racing up to harness digital learning solutions, including social networks, to facilitate teaching and learning. By sampling 360 students from higher education institutions (HEIs) in Ghana, a partial least square structural equation modelling, in this study, was leveraged to explore the determinants of using social networks for collaborative learning. After analysing the data, this study shows that perceived ease of use of social networks, perceived usefulness of social networks, perceived enjoyment from social network use, subjective norm, and user satisfaction were the main determinants that influence students’ attitudes towards the use of social networks for collaborative learning. Additionally, the study found social networks as a useful tool for improving the academic performance of students in HEIs. We therefore envision that this study would influence policy, practice, and research on the use of social networks for teaching and learning in HEIs in the Global South. Springer Berlin Heidelberg 2022-11-22 /pmc/articles/PMC9684882/ /pubmed/36466581 http://dx.doi.org/10.1007/s10209-022-00942-3 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Long Paper Boruzie, Paschal Kpimekuu Kolog, Emmanuel Awuni Afful-Dazie, Eric Egala, Sulemana Bankuoru Social network for collaborative learning: what are the determining factors? |
title | Social network for collaborative learning: what are the determining factors? |
title_full | Social network for collaborative learning: what are the determining factors? |
title_fullStr | Social network for collaborative learning: what are the determining factors? |
title_full_unstemmed | Social network for collaborative learning: what are the determining factors? |
title_short | Social network for collaborative learning: what are the determining factors? |
title_sort | social network for collaborative learning: what are the determining factors? |
topic | Long Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684882/ https://www.ncbi.nlm.nih.gov/pubmed/36466581 http://dx.doi.org/10.1007/s10209-022-00942-3 |
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