JUCS - Journal of Universal Computer Science 14(17): 2777-2798, doi: 10.3217/jucs-014-17-2777
Improving AEH Courses through Log Analysis
expand article infoCésar Vialardi, Javier Bravo§, Alvaro Ortigosa§
‡ Universidad de Lima, Lima, Peru§ Universidad Autónoma de Madrid, Madrid, Spain
Open Access
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.
authoring support, adaptive educational hypermedia, data mining applications