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

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.