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dc.contributor.authorVialardi Sacín, César
dc.contributor.authorBravo, Javier
dc.contributor.authorOrtigosa, Álvaro
dc.contributor.otherVialardi Sacín, César
dc.date.accessioned2020-03-07T04:15:15Z
dc.date.available2020-03-07T04:15:15Z
dc.date.issued2008
dc.identifier.citationVialardi, C., Bravo, J., & Ortigosa, Á. (2008). Improving AEH courses through log analysis. Journal of Universal Computer Science, 14(17), 2777-2798. http://www.jucs.org/jucs_14_17/improving_aeh_courses_throughes_PE
dc.identifier.issn0948-695x
dc.identifier.urihttps://hdl.handle.net/20.500.12724/10520
dc.descriptionIndexado en Scopuses_PE
dc.description.abstractAuthoring in adaptive educational hypermedia environment is complex activity. In order to promote a wider application of this technology, the teachers and course designers need specific methods and tools for supporting their work. In that sense, data mining is a promising technology. In fact, data mining techniques have already been used in E-learning systems, but most of the times their application is oriented to provide better support to students; little work has been done for assisting adaptive hypermedia authors through data mining. In this paper we present a proposal for using data mining for improving an adaptive hypermedia system. A tool implementing the proposed approach is also presented, along with examples of how data mining technology can assist teacherses_PE
dc.language.isoenges_PE
dc.publisherTechnische Universität Grazes_PE
dc.relation.ispartofurn:issn:0948-695x
dc.relation.urihttp://www.jucs.org/jucs_14_17/improving_aeh_courses_through
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 Perú*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/pe/*
dc.sourceRepositorio Institucional - Ulimaes_PE
dc.sourceUniversidad de Limaes_PE
dc.subjectMinería de datoses_PE
dc.subjectSistemas de hipertextoes_PE
dc.subjectEstudiantes universitarioses_PE
dc.subjectData miningen_EN
dc.subjectHypertext systemsen_EN
dc.subjectCollege studentsen_EN
dc.subject.classificationCiencias sociales / Educaciónes_PE
dc.titleImproving AEH courses through log analysises_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.type.otherArtículo en Scopuses_PE
dc.identifier.journalJournal of Universal Computer Science
dc.publisher.countryATes_PE
dc.description.peer-reviewRevisión por pareses_PE
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#5.03.00es_PE


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