A Framework for Using Web Usage Mining to Personalise E-learning

Abstract

Web usage mining can contribute to finding significant educational knowledge. It can play a vital role in the personalisation aspects of any domain. We propose a framework for personalizing e-learning that necessitates careful attention towards individual learning styles. We focus on identifying learning patterns of learners and the sequence of choosing learning resources in relation to their learning styles. A prototype for an adaptive Web based course has been developed where the learning environment is modifying its behaviour to reflect learning styles.