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.
Original language | English |
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Title of host publication | Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 |
Pages | 474-475 |
Number of pages | 2 |
DOIs | |
State | Published - 2005 |
Event | 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 - Kaohsiung, Taiwan Duration: 5 Jul 2005 → 8 Jul 2005 |
Publication series
Name | Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 |
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Volume | 2005 |
Conference
Conference | 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 |
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Country/Territory | Taiwan |
City | Kaohsiung |
Period | 5/07/05 → 8/07/05 |