DocumentCode
1215371
Title
Intelligent browser-based systems to assist Internet users
Author
Bergasa-Suso, Jorge ; Sanders, David A. ; Tewkesbury, Giles E.
Author_Institution
Counterpoint MTC Ltd., Worthing, UK
Volume
48
Issue
4
fYear
2005
Firstpage
580
Lastpage
585
Abstract
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.
Keywords
Internet; information filters; intelligent tutoring systems; online front-ends; Internet user assistance; Microsoft Internet Explorer 6; Web pages; client-based systems; iLessons; intelligent browser-based systems; system filters; user learning styles; Control systems; Information filtering; Information filters; Intelligent systems; Internet; Navigation; Network servers; Software tools; Web pages; Web server; Cooperative/collaborative learning; distributed learning; intelligent tutoring systems; navigation;
fLanguage
English
Journal_Title
Education, IEEE Transactions on
Publisher
ieee
ISSN
0018-9359
Type
jour
DOI
10.1109/TE.2005.854570
Filename
1532366
Link To Document