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dc.contributor.authorSchwendimann, Beat A.
dc.contributor.authorRodríguez Triana, María Jesús 
dc.contributor.authorVozniuk, Andrii
dc.contributor.authorPrieto, Luis P.
dc.contributor.authorShirvani Boroujeni, Mina
dc.contributor.authorHolzer, Adrian
dc.contributor.authorGillet, Denis
dc.contributor.authorDillenbourg, Pierre
dc.date.accessioned2025-01-27T02:18:04Z
dc.date.available2025-01-27T02:18:04Z
dc.date.issued2017
dc.identifier.citationIEEE Transactions on Learning Technologies, 2017, vol. 10, no. 1, pp. 30-41es
dc.identifier.issn1939-1382es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/74413
dc.descriptionProducción Científicaes
dc.description.abstractThis paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining. Research on learning dashboards aims to identify what data is meaningful to different stakeholders and how data can be presented to support sense-making processes. Learning dashboards are becoming popular due to the increased use of educational technologies, such as Learning Management Systems (LMS) and Massive Open Online Courses (MOOCs). The initial search of five main academic databases and GScholar resulted in 346 papers out of which 55 papers were included in the final analysis. Our review distinguishes different kinds of research studies as well as various aspects of learning dashboards and their maturity regarding evaluation. As the research field is still relatively young, most studies are exploratory and proof-of-concept. The review concludes by offering a definition for learning dashboards and by outlining open issues and future lines of work in the area of learning dashboards. There is a need for longitudinal research in authentic settings and studies that systematically compare different dashboard designs.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherIEEEes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subject.classificationLearning analyticses
dc.subject.classificationEducational data mininges
dc.subject.classificationinformation visualizationes
dc.subject.classificationdashboardses
dc.subject.classificationsystematic literature reviewes
dc.titlePerceiving Learning at a Glance: A Systematic Literature Review of Learning Dashboard Researches
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holderIEEE Xplorees
dc.identifier.doihttps://doi.org/10.1109/TLT.2016.2599522es
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/7542151/keywords#keywordses
dc.identifier.publicationfirstpage30es
dc.identifier.publicationissue1es
dc.identifier.publicationlastpage41es
dc.identifier.publicationtitlePerceiving Learning at a Glance: A Systematic Literature Review of Learning Dashboard Researches
dc.identifier.publicationvolume10es
dc.peerreviewedSIes
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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