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Improving AEH courses through log analysis
dc.contributor.author | Vialardi Sacín, César | |
dc.contributor.author | Bravo, Javier | |
dc.contributor.author | Ortigosa, Álvaro | |
dc.contributor.other | Vialardi Sacín, César | |
dc.date.accessioned | 2020-03-07T04:15:15Z | |
dc.date.available | 2020-03-07T04:15:15Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Vialardi, 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_through | es_PE |
dc.identifier.issn | 0948-695x | |
dc.identifier.uri | https://hdl.handle.net/20.500.12724/10520 | |
dc.description | Indexado en Scopus | es_PE |
dc.description.abstract | Authoring 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 teachers | es_PE |
dc.language.iso | eng | es_PE |
dc.publisher | Technische Universität Graz | es_PE |
dc.relation.ispartof | urn:issn:0948-695x | |
dc.relation.uri | http://www.jucs.org/jucs_14_17/improving_aeh_courses_through | |
dc.rights | info:eu-repo/semantics/openAccess | es_PE |
dc.rights | Atribución-NoComercial-CompartirIgual 2.5 Perú | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/2.5/pe/ | * |
dc.source | Repositorio Institucional - Ulima | es_PE |
dc.source | Universidad de Lima | es_PE |
dc.subject | Minería de datos | es_PE |
dc.subject | Sistemas de hipertexto | es_PE |
dc.subject | Estudiantes universitarios | es_PE |
dc.subject | Data mining | en_EN |
dc.subject | Hypertext systems | en_EN |
dc.subject | College students | en_EN |
dc.title | Improving AEH courses through log analysis | es_PE |
dc.type | info:eu-repo/semantics/article | es_PE |
dc.type.other | Artículo en Scopus | es_PE |
dc.identifier.journal | Journal of Universal Computer Science | |
dc.publisher.country | AT | es_PE |
dc.description.peer-review | Revisión por pares | es_PE |
dc.subject.ocde | http://purl.org/pe-repo/ocde/ford#5.03.00 | es_PE |
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