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dc.contributor.authorPijeira Díaz, Héctor J.
dc.contributor.authorSantofimia Ruiz, Javier
dc.contributor.authorRuipérez-Valiente, José A. 
dc.contributor.authorMuñoz-Merino, Pedro J.
dc.contributor.authorDelgado Kloos, Carlos
dc.date.accessioned2021-07-13T09:27:00Z
dc.date.available2021-07-13T09:27:00Z
dc.date.issued2016-04-25
dc.identifier.urihttp://hdl.handle.net/20.500.12761/222
dc.descriptionhttp://dx.doi.org/10.1145/2876034.2893402.
dc.description.abstractEducation is being powered by technology in many ways. One of the main advantages is making use of data to improve the learning process. The massive open online course (MOOC) phenomenon became viral some years ago, and with it many different platforms emerged. However most of them are proprietary solutions (i.e. Coursera, Udacity) and cannot be used by interested stakeholders. At the moment Open edX is placed as the primary open source application to support MOOCs. The community using Open edX is growing at a fast pace with many interested institutions. Nevertheless, the learning analytics support of Open edX is still in its first steps. In this paper we present an overview and demonstration of ANALYSE, an open source learning analytics tool for Open edX. ANALYSE includes currently 12 new visualizations that can be used by both instructors and students.
dc.language.isoeng
dc.publisherACM Press
dc.titleA Demonstration of ANALYSE: A Learning Analytics Tool for Open edXen
dc.typeconference object
dc.conference.date25-26 April 2016
dc.conference.placeEdinburgh, Scotland, UK
dc.conference.titleThe 3rd Annual ACM Conference on Learning @ Scale (L@S 2016)*
dc.event.typeconference
dc.pres.typedemo
dc.type.hasVersionVoR
dc.rights.accessRightsopen access
dc.identifier.urlhttp://dl.acm.org/citation.cfm?doid=2876034.2893402
dc.page.final330
dc.page.initial329
dc.place.issuedNew York, New York, USA
dc.subject.keywordLearning Analytics
dc.subject.keywordOpen edX
dc.subject.keywordVisualizations
dc.subject.keywordMOOCs
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/1338


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