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A Framework for Using Web Usage Mining to Personalise E-learning
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on;2007.
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Abstract
E-learning systems collect a tremendous amount of data about learners and their interaction with elearning systems. However, less attention has been given to dealing with these huge repositories of data. These data repositories are under-exploited. Web usage mining techniques have the potential and capabilities to contribute in finding significant educational knowledge. One area that Web usage mining may play a vital role is in the personalization aspects of any domain. Therefore, we propose a web usage mining 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. Based on the framework, a prototype for an adaptive web based course has been developed where the learning environment is modifying its behaviour to reflect learning styles by sequencing and presenting the preferred learning material. The methodology of web usage mining has been devised to carry out this work.
Keyword(s)
Internet; Web usage mining; adaptive Web based course; data mining; distance learning; educational courses; educational knowledge; individual learning styles; learning resources; personalise e-learning