Intelligent browser-based systems to assist Internet users

Jorge Bergasa-Suso, David Sanders, Giles Tewkesbury

    Research output: Contribution to journalArticlepeer-review


    New client-based systems that filter Web pages, infer user learning styles, and recommend relevant pages are described. The systems provide easy, structured, focused, and controlled access to the Internet. A first system, called iLessons, is embedded within Microsoft Internet Explorer 6 and provides teachers with tools to create lesson Web pages, define zones of the Internet that can be accessed during a lesson, and enforce these settings in a set of computers. A second system enables students to investigate and collaborate using the Internet. The system filters Web pages based on the relevance of their contents and assists students by inferring their learning style (active or reflective) and by recommending pages found by fellow students based on page relevancy, student learning style, and state of mind measured by activity.
    Original languageEnglish
    Pages (from-to)580 - 585
    JournalIEEE Transactions on Education
    Issue number4
    Publication statusPublished - Nov 2005


    Dive into the research topics of 'Intelligent browser-based systems to assist Internet users'. Together they form a unique fingerprint.

    Cite this