Grouping users' communities in an interactive web-based learning system: A data mining approach

Christine G. Minetou; Sherry Y. Chen; Xiaohui Liu

doi:10.1109/ICALT.2005.164

Grouping users' communities in an interactive web-based learning system: A data mining approach

Christine G. Minetou, Sherry Y. Chen, Xiaohui Liu

網路學習科技研究所

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

8 引文斯高帕斯（Scopus）

摘要

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.

原文	???core.languages.en_GB???
主出版物標題	Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
頁面	474-475
頁數	2
DOIs	https://doi.org/10.1109/ICALT.2005.164
出版狀態	已出版 - 2005
事件	5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 - Kaohsiung, Taiwan 持續時間: 5 7月 2005 → 8 7月 2005

出版系列

名字	Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
卷	2005

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???event.eventtypes.event.conference???	5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
國家/地區	Taiwan
城市	Kaohsiung
期間	5/07/05 → 8/07/05

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10.1109/ICALT.2005.164

引用此

Minetou, C. G., Chen, S. Y., & Liu, X. (2005). Grouping users' communities in an interactive web-based learning system: A data mining approach. 於 Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 (頁 474-475). [1508732] (Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005; 卷 2005). https://doi.org/10.1109/ICALT.2005.164

@inproceedings{20a9e955e3cb4049b8015eeb8fe17e19,

title = "Grouping users' communities in an interactive web-based learning system: A data mining approach",

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.",

author = "Minetou, {Christine G.} and Chen, {Sherry Y.} and Xiaohui Liu",

year = "2005",

doi = "10.1109/ICALT.2005.164",

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isbn = "0769523382",

series = "Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005",

pages = "474--475",

booktitle = "Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005",

note = "5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 ; Conference date: 05-07-2005 Through 08-07-2005",

}

Minetou, CG, Chen, SY & Liu, X 2005, Grouping users' communities in an interactive web-based learning system: A data mining approach. 於 Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005., 1508732, Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005, 卷 2005, 頁 474-475, 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005, Kaohsiung, Taiwan, 5/07/05. https://doi.org/10.1109/ICALT.2005.164

Grouping users' communities in an interactive web-based learning system: A data mining approach. / Minetou, Christine G.; Chen, Sherry Y.; Liu, Xiaohui.
Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005. 2005. p. 474-475 1508732 (Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005; 卷 2005).

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

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AB - 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.

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Minetou CG, Chen SY, Liu X. Grouping users' communities in an interactive web-based learning system: A data mining approach. 於 Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005. 2005. p. 474-475. 1508732. (Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005). doi: 10.1109/ICALT.2005.164

Grouping users' communities in an interactive web-based learning system: A data mining approach

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