Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05)
Grouping Users? Communities in an Interactive Web-Based Learning System: A Data Mining Approach (PDF)
Kaohsiung, Taiwan July 05-July 08 ISBN: 0-7695-2338-2
Discovery of user communities can help designers to develop learning systems that are more suitable to the needs of different individuals. The study 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.
Citation:
Christine G. Minetou, Sherry Y. Chen, Xiaohui Liu, "Grouping Users? Communities in an Interactive Web-Based Learning System: A Data Mining Approach," icalt, pp.474-475, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||