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How social network analysis can be used to monitor online collaborative learning and guide an informed intervention

To ensure online collaborative learning meets the intended pedagogical goals (is actually collaborative and stimulates learning), mechanisms are needed for monitoring the efficiency of online collaboration. Various studies have indicated that social network analysis can be particularly effective in...

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Detalles Bibliográficos
Autores principales: Saqr, Mohammed, Fors, Uno, Tedre, Matti, Nouri, Jalal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5864042/
https://www.ncbi.nlm.nih.gov/pubmed/29566058
http://dx.doi.org/10.1371/journal.pone.0194777
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author Saqr, Mohammed
Fors, Uno
Tedre, Matti
Nouri, Jalal
author_facet Saqr, Mohammed
Fors, Uno
Tedre, Matti
Nouri, Jalal
author_sort Saqr, Mohammed
collection PubMed
description To ensure online collaborative learning meets the intended pedagogical goals (is actually collaborative and stimulates learning), mechanisms are needed for monitoring the efficiency of online collaboration. Various studies have indicated that social network analysis can be particularly effective in studying students’ interactions in online collaboration. However, research in education has only focused on the theoretical potential of using SNA, not on the actual benefits they achieved. This study investigated how social network analysis can be used to monitor online collaborative learning, find aspects in need of improvement, guide an informed intervention, and assess the efficacy of intervention using an experimental, observational repeated-measurement design in three courses over a full-term duration. Using a combination of SNA-based visual and quantitative analysis, we monitored three SNA constructs for each participant: the level of interactivity, the role, and position in information exchange, and the role played by each participant in the collaboration. On the group level, we monitored interactivity and group cohesion indicators. Our monitoring uncovered a non-collaborative teacher-centered pattern of interactions in the three studied courses as well as very few interactions among students, limited information exchange or negotiation, and very limited student networks dominated by the teacher. An intervention based on SNA-generated insights was designed. The intervention was structured into five actions: increasing awareness, promoting collaboration, improving the content, preparing teachers, and finally practicing with feedback. Evaluation of the intervention revealed that it has significantly enhanced student-student interactions and teacher-student interactions, as well as produced a collaborative pattern of interactions among most students and teachers. Since efficient and communicative activities are essential prerequisites for successful content discussion and for realizing the goals of collaboration, we suggest that our SNA-based approach will positively affect teaching and learning in many educational domains. Our study offers a proof-of-concept of what SNA can add to the current tools for monitoring and supporting teaching and learning in higher education.
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spelling pubmed-58640422018-03-28 How social network analysis can be used to monitor online collaborative learning and guide an informed intervention Saqr, Mohammed Fors, Uno Tedre, Matti Nouri, Jalal PLoS One Research Article To ensure online collaborative learning meets the intended pedagogical goals (is actually collaborative and stimulates learning), mechanisms are needed for monitoring the efficiency of online collaboration. Various studies have indicated that social network analysis can be particularly effective in studying students’ interactions in online collaboration. However, research in education has only focused on the theoretical potential of using SNA, not on the actual benefits they achieved. This study investigated how social network analysis can be used to monitor online collaborative learning, find aspects in need of improvement, guide an informed intervention, and assess the efficacy of intervention using an experimental, observational repeated-measurement design in three courses over a full-term duration. Using a combination of SNA-based visual and quantitative analysis, we monitored three SNA constructs for each participant: the level of interactivity, the role, and position in information exchange, and the role played by each participant in the collaboration. On the group level, we monitored interactivity and group cohesion indicators. Our monitoring uncovered a non-collaborative teacher-centered pattern of interactions in the three studied courses as well as very few interactions among students, limited information exchange or negotiation, and very limited student networks dominated by the teacher. An intervention based on SNA-generated insights was designed. The intervention was structured into five actions: increasing awareness, promoting collaboration, improving the content, preparing teachers, and finally practicing with feedback. Evaluation of the intervention revealed that it has significantly enhanced student-student interactions and teacher-student interactions, as well as produced a collaborative pattern of interactions among most students and teachers. Since efficient and communicative activities are essential prerequisites for successful content discussion and for realizing the goals of collaboration, we suggest that our SNA-based approach will positively affect teaching and learning in many educational domains. Our study offers a proof-of-concept of what SNA can add to the current tools for monitoring and supporting teaching and learning in higher education. Public Library of Science 2018-03-22 /pmc/articles/PMC5864042/ /pubmed/29566058 http://dx.doi.org/10.1371/journal.pone.0194777 Text en © 2018 Saqr et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Saqr, Mohammed
Fors, Uno
Tedre, Matti
Nouri, Jalal
How social network analysis can be used to monitor online collaborative learning and guide an informed intervention
title How social network analysis can be used to monitor online collaborative learning and guide an informed intervention
title_full How social network analysis can be used to monitor online collaborative learning and guide an informed intervention
title_fullStr How social network analysis can be used to monitor online collaborative learning and guide an informed intervention
title_full_unstemmed How social network analysis can be used to monitor online collaborative learning and guide an informed intervention
title_short How social network analysis can be used to monitor online collaborative learning and guide an informed intervention
title_sort how social network analysis can be used to monitor online collaborative learning and guide an informed intervention
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5864042/
https://www.ncbi.nlm.nih.gov/pubmed/29566058
http://dx.doi.org/10.1371/journal.pone.0194777
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