Improving AEH Courses through Log Analysis

dc.creatorVialardi,César
dc.creatorBravo,Javier
dc.creatorOrtigosa,Alvaro
dc.date2008
dc.date.accessioned2024-02-06T12:57:08Z
dc.date.available2024-02-06T12:57:08Z
dc.descriptionAuthoring 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.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-014-17-2777
dc.identifierhttps://lib.jucs.org/article/29189/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9909
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 14(17): 2777-2798
dc.subjectauthoring support
dc.subjectadaptive educational hypermedia
dc.subjectdata mining applications
dc.titleImproving AEH Courses through Log Analysis
dc.typeResearch Article
Файлы
Коллекции