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dc.contributor.authorMuñoz-Merino, Pedro J.
dc.contributor.authorRuipérez-Valiente, José A. 
dc.contributor.authorAlario-Hoyos, Carlos
dc.contributor.authorPérez-Sanagustín, Mar
dc.contributor.authorDelgado Kloos, Carlos
dc.date.accessioned2021-07-13T10:21:17Z
dc.date.available2021-07-13T10:21:17Z
dc.date.issued2015-06
dc.identifier.issn0747-5632
dc.identifier.urihttp://hdl.handle.net/20.500.12761/1483
dc.description.abstractPresent MOOC and SPOC platforms do not provide teachers with precise metrics that represent the effectiveness of students with educational resources and activities. This work proposes and illustrates the application of the Precise Effectiveness Strategy (PES). PES is a generic methodology for defining precise metrics that enable calculation of the effectiveness of students when interacting with educational resources and activities in MOOCs and SPOCs, taking into account the particular aspects of the learning context. PES has been applied in a case study, calculating the effectiveness of students when watching video lectures and solving parametric exercises in four SPOCs deployed in the Khan Academy platform. Different visualizations within and between courses are presented combining the metrics defined following PES. We show how these visualizations can help teachers make quick and informed decisions in our case study, enabling the whole comparison of a large number of students at a glance, and a quick comparison of the four SPOCs divided by videos and exercises. Also, the metrics can help teachers know the relationship of effectiveness with different behavioral patterns. Results from using PES in the case study revealed that the effectiveness metrics proposed had a moderate negative correlation with some behavioral patterns like recommendation listener or video avoider.
dc.language.isoeng
dc.publisherElsevier
dc.titlePrecise Effectiveness Strategy for analyzing the effectiveness of students with educational resources and activities in MOOCsen
dc.typejournal article
dc.journal.titleComputers in Human Behavior (Special issue: Learning Analytics, Educational Data Mining and data-driven Educational Decision Making)
dc.type.hasVersionVoR
dc.rights.accessRightsopen access
dc.volume.number47
dc.identifier.urlhttp://dx.doi.org/10.1016/j.chb.2014.10.003
dc.identifier.doidoi:10.1016/j.chb.2014.10.003
dc.page.final118
dc.page.initial108
dc.subject.keywordLearning analytics
dc.subject.keywordMOOCs
dc.subject.keywordSPOCs
dc.subject.keywordPrecise Effective Strategy
dc.subject.keywordmetrics
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/978


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