Improving AEH Courses through Log Analysis
César Vialardi (Universidad de Lima, Peru)
Javier Bravo (Universidad Autónoma de Madrid, Spain)
Alvaro Ortigosa (Universidad Autónoma de Madrid, Spain)
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.
Keywords: adaptive educational hypermedia, authoring support, data mining applications
Categories: I.2.6, J.7, K.3