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

I
ICALT
2005
Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05)
Abstract - Grouping Users? Communities in an Interactive Web-Based Learning System: A Data Mining Approach

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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

	ASCII Text	x
	Christine G. Minetou, Sherry Y. Chen, Xiaohui Liu, "Grouping Users? Communities in an Interactive Web-Based Learning System: A Data Mining Approach," Advanced Learning Technologies, IEEE International Conference on, pp. 474-475, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05), 2005.

	BibTex	x
	@article{ 10.1109/ICALT.2005.164, author = {Christine G. Minetou and Sherry Y. Chen and Xiaohui Liu}, title = {Grouping Users? Communities in an Interactive Web-Based Learning System: A Data Mining Approach}, journal ={Advanced Learning Technologies, IEEE International Conference on}, volume = {0}, year = {2005}, isbn = {0-7695-2338-2}, pages = {474-475}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICALT.2005.164}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Advanced Learning Technologies, IEEE International Conference on TI - Grouping Users? Communities in an Interactive Web-Based Learning System: A Data Mining Approach SN - 0-7695-2338-2 SP474 EP475 A1 - Christine G. Minetou, A1 - Sherry Y. Chen, A1 - Xiaohui Liu, PY - 2005 KW - null VL - 0 JA - Advanced Learning Technologies, IEEE International Conference on ER -

Christine G. Minetou, Brunel University

Sherry Y. Chen, Brunel University

Xiaohui Liu, Brunel University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICALT.2005.164

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

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