Visualising web browsing data for user behaviour analysis
Proceedings of the 23rd Australian Computer-Human Interaction Conference
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In an e-learning environment it is crucial that accurate web usage data can be collected and analysed to ensure that on-line learning material is optimally structured and designed. In this paper we investigate the relationship between cached and non-cached web log files as weidentify and analyse user paths through an e-learning web site. We outline the development of a web data mining and data visualization tool DMASC (Direction Mapping and Sequence Chart). We also demonstrate, using a set of test data, how our mining and mapping methods can be used to reveal otherwise unseen web design flaws.