Strategies based on social network analysis for enhancing the learning climate at universities
The aim of this study was to detect leaders among a group of university students based on their centrality scores and, from these scores, to distribute roles to help enhance learning climate. We understood that learning climate improved when the construction of networked knowledge was stimulated fro...
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| Format: | Article |
| Language: | Spanish |
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Universitat de València
2021-07-01
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| Series: | Research in Education and Learning Innovation Archives |
| Subjects: | |
| Online Access: | https://ojs.uv.es/index.php/realia/article/view/18960 |
| _version_ | 1818975112990294016 |
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| author | Fran J. Garcia-Garcia Evelyn E. Moctezuma-Ramírez Cristian Molla-Esparza Inmaculada López-Francés |
| author_facet | Fran J. Garcia-Garcia Evelyn E. Moctezuma-Ramírez Cristian Molla-Esparza Inmaculada López-Francés |
| author_sort | Fran J. Garcia-Garcia |
| collection | DOAJ |
| description | The aim of this study was to detect leaders among a group of university students based on their centrality scores and, from these scores, to distribute roles to help enhance learning climate. We understood that learning climate improved when the construction of networked knowledge was stimulated from the perspective of Computer-Supported Collaborative Learning. We conducted the educational experiment in a virtual environment. An online discussion forum was set up in a loo- sely structured format, and the students’ centrality scores were calculated from the social network they generated in the forum. Our findings show that student connectivity increased significantly and that several leadership styles were detected. Based on these leadership styles we designed strategies for optimizing learning climate in a self-regulated and stable way. Based on the type of centrality, we detected leaders in terms of their popularity, sociability, closeness to others, control of information flowing through the network, and influence. The novelty of this study resides in the incipient production of educational technology based on Social Network Analysis and, specifically, on the design of centrality-based strategies for optimizing climate in the university classroom. |
| first_indexed | 2024-12-20T15:50:47Z |
| format | Article |
| id | doaj.art-042ecf263b07430c98bc63fa334924a1 |
| institution | Directory Open Access Journal |
| issn | 2659-9031 |
| language | Spanish |
| last_indexed | 2024-12-20T15:50:47Z |
| publishDate | 2021-07-01 |
| publisher | Universitat de València |
| record_format | Article |
| series | Research in Education and Learning Innovation Archives |
| spelling | doaj.art-042ecf263b07430c98bc63fa334924a12022-12-21T19:34:42ZspaUniversitat de ValènciaResearch in Education and Learning Innovation Archives2659-90312021-07-01271931https://doi.org/10.7203/realia.27.18960Strategies based on social network analysis for enhancing the learning climate at universitiesFran J. Garcia-Garcia0https://orcid.org/0000-0002-6267-0080Evelyn E. Moctezuma-Ramírez 1https://orcid.org/0000-0001-5342-7137Cristian Molla-Esparza2https://orcid.org/0000-0003-0783-617XInmaculada López-Francés3https://orcid.org/0000-0003-1178-9054Universitat de ValènciaUniversidad Pedagógica Nacional de MéxicoUniversidad Internacional de La RiojaUniversitat de ValènciaThe aim of this study was to detect leaders among a group of university students based on their centrality scores and, from these scores, to distribute roles to help enhance learning climate. We understood that learning climate improved when the construction of networked knowledge was stimulated from the perspective of Computer-Supported Collaborative Learning. We conducted the educational experiment in a virtual environment. An online discussion forum was set up in a loo- sely structured format, and the students’ centrality scores were calculated from the social network they generated in the forum. Our findings show that student connectivity increased significantly and that several leadership styles were detected. Based on these leadership styles we designed strategies for optimizing learning climate in a self-regulated and stable way. Based on the type of centrality, we detected leaders in terms of their popularity, sociability, closeness to others, control of information flowing through the network, and influence. The novelty of this study resides in the incipient production of educational technology based on Social Network Analysis and, specifically, on the design of centrality-based strategies for optimizing climate in the university classroom.https://ojs.uv.es/index.php/realia/article/view/18960social networksonline discussioneducational technologyleadershiphigher education |
| spellingShingle | Fran J. Garcia-Garcia Evelyn E. Moctezuma-Ramírez Cristian Molla-Esparza Inmaculada López-Francés Strategies based on social network analysis for enhancing the learning climate at universities Research in Education and Learning Innovation Archives social networks online discussion educational technology leadership higher education |
| title | Strategies based on social network analysis for enhancing the learning climate at universities |
| title_full | Strategies based on social network analysis for enhancing the learning climate at universities |
| title_fullStr | Strategies based on social network analysis for enhancing the learning climate at universities |
| title_full_unstemmed | Strategies based on social network analysis for enhancing the learning climate at universities |
| title_short | Strategies based on social network analysis for enhancing the learning climate at universities |
| title_sort | strategies based on social network analysis for enhancing the learning climate at universities |
| topic | social networks online discussion educational technology leadership higher education |
| url | https://ojs.uv.es/index.php/realia/article/view/18960 |
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