Improving AEH Courses through Log Analysi

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.