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Gamifying massive online courses: effects on the social networks and course completion rates

datacite.subject.sdg04:Educação de Qualidadept_PT
dc.contributor.authorMarcos, Luis de
dc.contributor.authorGarcia-Cabot, Antonio
dc.contributor.authorGarcia-Lopez, Eva
dc.contributor.authorRamirez-Velarde, Raul
dc.contributor.authorTeixeira, António
dc.contributor.authorMartínez-Herráiz, José-Javier
dc.date.accessioned2023-09-21T09:51:57Z
dc.date.available2023-09-21T09:51:57Z
dc.date.issued2020
dc.description.abstractThis paper analyzes the e ects of gamification in the social network of a massive online course. An educational social-networking platform gathered information about the contributions of participants and about the social networks that were formed during the course. A gamification layer with three game elements (points, badges, and leaderboard) was then implemented in the online learning platform. Social network analysis (SNA) and principal component analysis (PCA) were used to analyze the di erences between a treatment and a comparison group (N = 591 and N = 427), using a set of 20 variables for each participant which quantified contributions to the learning platform as well as position and influence in the social network. The results of SNA show that gamification influences the structure of the social network of the course. The results also suggest that the variables cluster similarly for each group and that the linear combination of variables called the first component (F1) is a good descriptor of students’ work and position in the network. F1 can be used to build predictive models of course completion. The models show that the probability of passing the course increases more rapidly in the treatment (gamified) group.pt_PT
dc.description.sponsorshipSpanish Ministry of Economic A airs and Digital Transformation (Grant TIN2014-54874-R) and Government of Comunidad de Madrid (Grant CM/JIN/2019-037).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMarcos-Ortega, L., Garcia-Cabot, A., Garcia-Lopez, E., Ramirez-Velarde, R., Teixeira, A. M, Martínez-Herráiz, J.-J. (2020).Gamifying Massive Online Courses: Efects on the Social Networks and Course Completion Rates, Applied Sciences, 10, 7065, doi:10.3390/app10207065pt_PT
dc.identifier.doi10.3390/app10207065pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/14960
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/852634pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjecte-Learningpt_PT
dc.subjectOnline learningpt_PT
dc.subjectOnline coursept_PT
dc.subjectGamificationpt_PT
dc.subjectEducational social networkspt_PT
dc.subjectSocial network analysispt_PT
dc.subjectCourse completionpt_PT
dc.subjectEducational innovationpt_PT
dc.subjectHigher educationpt_PT
dc.titleGamifying massive online courses: effects on the social networks and course completion ratespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage17pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleApplied Sciencespt_PT
person.familyNamede Marcos
person.familyNameGarcia-Cabot
person.familyNameGarcia-Lopez
person.familyNameRamirez-Velarde
person.familyNameTeixeira
person.givenNameLuis
person.givenNameAntonio
person.givenNameEva
person.givenNameRaul
person.givenNameAntónio
person.identifier.ciencia-id7810-ACD0-18B2
person.identifier.orcid0000-0003-0718-8774
person.identifier.orcid0000-0002-0298-3237
person.identifier.orcid0000-0002-7598-3289
person.identifier.orcid0000-0001-7186-1914
person.identifier.orcid0000-0002-1339-6548
person.identifier.ridD-8990-2012
person.identifier.scopus-author-id24490856200
person.identifier.scopus-author-id55037309200
person.identifier.scopus-author-id6507779479
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublicationa6c03353-2283-463c-93da-dc88f91af11a
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relation.isAuthorOfPublication735ed5b6-f000-4034-a580-240603ecc6b6
relation.isAuthorOfPublicatione6474cc5-0c39-4eb5-ba27-a3f19964333f
relation.isAuthorOfPublication.latestForDiscoverye6474cc5-0c39-4eb5-ba27-a3f19964333f

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