Using Clustering Technique for Students' Grouping in Intelligent E-Learning Systems

Authors:
Danuta Zakrzewska
Affiliations:
Institute of Computer Science Technical University of Lodz, Lodz, Poland 90-924
Venue:
USAB '08 Proceedings of the 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for Education and Work
Year:
2008

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Abstract

In the paper, application of cluster analysis for students' grouping in intelligent e-learning systems is considered. It is proposed the system architecture, in which teaching paths as well as proper layouts are adjusted to groups of students according to their learning styles and usability preferences. Considered student models are built on the basis of Felder and Silverman model, together with student color choices. It is considered usage of two versions of two-phase hierarchical clustering algorithm for students' grouping. Experimental results for both of the approaches are compared and discussed.