By Topic

Grouping users' communities in an interactive Web-based learning system: a data mining approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Minetou, C.G. ; Sch. of Inf. Syst., Comput. & Math., Brunei Univ., UK ; Chen, S.Y. ; Xiaohui Liu

Discovery of user communities can help designers to develop learning systems that are more suitable to the needs of different individuals. The paper builds user communities based on their common navigation behavior using the k-means algorithm. The results indicated that three user groups could be identified and cognitive style is a potential factor that may influence the patterns of each group.

Published in:

Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on

Date of Conference:

5-8 July 2005