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ASquare: A powerful evaluation tool for adaptive hypermedia course system

dc.contributor.authorBravo, Javier
dc.contributor.authorVialardi Sacín, César
dc.contributor.authorOrtigosa, Álvaro
dc.contributor.otherVialardi Sacín, Césares_PE
dc.date.accessioned2018-02-08T16:31:09Z
dc.date.available2018-02-08T16:31:09Z
dc.date.issued2008
dc.identifier.citationBravo, J., Vialardi, C., & Ortigosa, Á. (2008). ASquare: A powerful evaluation tool for adaptive hypermedia course system. En HT '08 Proceedings of the nineteenth ACM conference on Hypertext and hypermedia (pp. 219-220). Pittsburgh, PA, USA.es_ES
dc.identifier.urihttps://hdl.handle.net/20.500.12724/5634
dc.descriptionIndexado en Scopus
dc.description.abstractCurrently many methods and tools are being developed to support e-Learning courses. On the one hand, they are used to help students. On the other, a few applications are being developed to help course designers and instructors. In addition, the development of this applications is important for improving the performance of the course. Thus, we proposed in this paper to use data mining methods to aid in the designing of adaptive courses and the evaluation of their effectiveness. Lastly, the results of the implementation of our tool and examples of the utility of Data Mining for teachers is given.es_ES
dc.formatapplication/pdf
dc.language.isoenges_PE
dc.publisherACMes_PE
dc.relation.urihttps://dblp.org/rec/html/conf/ht/BravoVO08
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceUniversidad de Lima
dc.sourceRepositorio Institucional - Ulima
dc.subjectEnseñanza asistida por computadoraes
dc.subjectHipermediaes
dc.subjectMinería de datoses
dc.subjectTecnología educativaes
dc.subjectComputer assisted instructionen
dc.subjectHypermediaen
dc.subjectData miningen
dc.subjectEducational technologyen
dc.titleASquare: A powerful evaluation tool for adaptive hypermedia course systemes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_PE
dc.type.otherArtículo de conferencia en Scopuses_PE
dc.publisher.countryUSes_PE
dc.identifier.doihttps://doi.org/10.1145/1379092.1379100


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