Grouping Users' Communities in an Interactive Web-Based Learning System: A Data Mining Approach

Authors:
Christine G. Minetou
Affiliations:
Brunel University
Venue:
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Year:
2005

Citing 1
Cited 2

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Abstract

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.