Title :
Grouping users´ communities in an interactive Web-based learning system: a data mining approach
Author :
Minetou, Christine G. ; Chen, Sherry Y. ; Liu, Xiaohui
Author_Institution :
Sch. of Inf. Syst., Comput. & Math., Brunei Univ., UK
Abstract :
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.
Keywords :
Internet; computer aided instruction; data mining; interactive systems; cognitive style; data mining; interactive Web-based learning system; k-means algorithm; learning systems; user communities; Clustering algorithms; Data mining; History; Human factors; Information systems; Iterative algorithms; Learning systems; Mathematics; Navigation; Partitioning algorithms;
Conference_Titel :
Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on
Print_ISBN :
0-7695-2338-2
DOI :
10.1109/ICALT.2005.164
