In this paper we describe the long term evaluation of the Website Exploration Tool (WET), an exploratory system for visualising web data, through the assessment of two Virtual Learning Environments (VLE). VLEs provide log files that can be studied with web mining techniques to understand the behaviour of the students and consequently improve the pedagogy. However, statistical metrics are not always easy to interpret for the educators, which suggests the need to develop novel approaches for the easy discovery of usage patterns. The integration of WET in the assessment process of two VLEs gave us the opportunity to conduct long-term case studies that supported the evaluation of the visual approaches used in our tool. Our main contributions are the description of the benefits of such approaches for the analysis of VLEs as well as recommended features for supporting this task, and a summary of the main findings from our case studies.

Visualising Virtual Learning Environments: Case Studies of the Website Exploration Tool

Web media is becoming popular nowadays for people to read news or articles. It is interesting and important for the web media providers to learn the browsing behaviors of their readers and authors. In this paper, we present a visual analytics system for discovering the browsing and authoring behaviors in web media based on users' web page clickstream data. Our system provides multiple views of visualization with user interaction, including a scatter plot providing an overview to help analysts locate data of interest, and a force-directed graph for investigating relations between data entities. Interesting behaviors have been explored and found by using the proposed multiple views system.

Interactive Visual Analysis of Browsing and Authoring Behaviors in Web Media

Understanding Web Navigational Data is a crucial task for Web analysts as it may influence the website improvement process. However, major Web analytics tools do not provide enough insight, taking into account the vast amount of data available in Web servers’ log files. Moreover, some analysts argue that those tools have a lack of rich visualisations that enable the exploration of such data. In this paper we introduce new techniques applied to a highly interactive and exploratory tool, to allow drilling down through Web usage data. The system uses a set of coordinated visual abstractions from website structure and users’ navigation to provide different perspectives and hence, to assist the conversion of data into knowledge.

New Techniques for Visualising Web Navigational Data

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New Techniques for Visualising Web Navigational Data