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Informal learning in social networks during the COVID-19 pandemic: an empirical analysis

2021Journal article Restricted access
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dc.contributor.authorOcaña, Mauro
dc.contributor.authorMejía, Rebeca
dc.contributor.authorLarrea, Carolina
dc.contributor.authorAnaluisa Maiguashca, Jessica Carolina
dc.contributor.authorFreire, Carla
dc.date.accessioned2021-08-03T16:02:39Z
dc.date.available2021-08-03T16:02:39Z
dc.date.issued2021
dc.date.updated2021-08-03T08:16:38Z
dc.description.abstractThe use of the Internet and social networks have increased dramatically during the COVID quarantine mainly because several activities were moved online. In education, numerous stakeholders stayed at home and their academic plans were modified and adapted to an entire virtual environment. This was the case of a live event (Science Café) whose purpose was to disseminate knowledge through Facebook and YouTube. Thus, this study aimed at verifying if there was knowledge construction in social networks through user interactions by using 1,083 comments posted by the audience. Comments were coded according to validated frameworks for language taxonomy and collaborative knowledge construction. Results show that the predominant interaction is that in which viewers pose questions to speakers. Our analyses also revealed that attendees hardly reached the highest levels of knowledge construction through unguided interaction. Often, user interactions went beyond emotional expressions towards evaluation and therefore, could reach a higher level of knowledge construction. This study shows that social networks may offer informal spaces for deliberation and collaborative interaction with the potential to support learning if guided properly. This research aims to contribute empirical evidence to the growing body of literature that online interactions in informal environments may provide productive learning.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationOcaña M., Mejía R., Larrea C., Analuisa C., Freire C. (2021) Informal Learning in Social Networks During the COVID-19 Pandemic: An Empirical Analysis. In: Botto-Tobar M., Cruz H., Díaz Cadena A. (eds) Artificial Intelligence, Computer and Software Engineering Advances. CIT 2020. Advances in Intelligent Systems and Computing, vol 1327. Springer, Cham. https://doi.org/10.1007/978-3-030-68083-1_30pt_PT
dc.identifier.doi10.21125/iceri.2020.0542pt_PT
dc.identifier.slugcv-prod-2110435
dc.identifier.urihttp://hdl.handle.net/10400.8/6000
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.subjectInformal learningpt_PT
dc.subjectKnowledge constructionpt_PT
dc.subjectSocial network analysispt_PT
dc.subjectSociogramspt_PT
dc.subjectSNApt_PT
dc.subjectCOVID-19pt_PT
dc.titleInformal learning in social networks during the COVID-19 pandemic: an empirical analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceEquadorpt_PT
oaire.citation.endPage414pt_PT
oaire.citation.issue1327pt_PT
oaire.citation.startPage400pt_PT
oaire.citation.titleArtificial Intelligence, Computer and Software Engineering Advancespt_PT
person.familyNameFreire
person.givenNameCarla
person.identifier.ciencia-id1F16-B11A-59F1
person.identifier.orcid0000-0001-7557-9596
rcaap.cv.cienciaid1F16-B11A-59F1 | Carla Sofia Costa Freire
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0932954c-9f62-4a12-a68c-f8258c49dcda
relation.isAuthorOfPublication.latestForDiscovery0932954c-9f62-4a12-a68c-f8258c49dcda

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