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Article: An Investigation into Knowledge Discovery in Collaborative Learning Communities
Title | An Investigation into Knowledge Discovery in Collaborative Learning Communities |
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Authors | |
Keywords | CSCL Computer-supported Collaborative learning Communities of practice Collaborative communities |
Issue Date | 2009 |
Publisher | Inderscience Publishers. The Journal's web site is located at http://www.inderscience.com/ijiem |
Citation | International Journal of Internet and Enterprise Management, 2009, v. 6 n. 2, p. 177-192 How to Cite? |
Abstract | While collaborative community is applied comprehensively in school learning and organisational training, research on collaborative learning process is emerging. Traditional statistical methods make it difficult to perform large volume in-depth analysis on interaction regulations and mechanisms in collaborative communities, especially when bottom-up analysis is required. In this study, data-mining methodology is addressed to discover knowledge from large-scale and real interaction data in collaborative learning communities. We propose to use Knowledge Discovery in Databases (KDD) approach for knowledge discovery in collaborative communities. A case study of role discovery in collaborative learning is developed to demonstrate the usefulness of the approach. |
Persistent Identifier | http://hdl.handle.net/10722/60000 |
ISSN |
DC Field | Value | Language |
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dc.contributor.author | Liao, J | en_HK |
dc.contributor.author | Wang, M | en_HK |
dc.contributor.author | Li, Y | en_HK |
dc.contributor.author | Huang, R | en_HK |
dc.date.accessioned | 2010-05-31T04:01:54Z | - |
dc.date.available | 2010-05-31T04:01:54Z | - |
dc.date.issued | 2009 | en_HK |
dc.identifier.citation | International Journal of Internet and Enterprise Management, 2009, v. 6 n. 2, p. 177-192 | en_HK |
dc.identifier.issn | 1476-1300 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/60000 | - |
dc.description.abstract | While collaborative community is applied comprehensively in school learning and organisational training, research on collaborative learning process is emerging. Traditional statistical methods make it difficult to perform large volume in-depth analysis on interaction regulations and mechanisms in collaborative communities, especially when bottom-up analysis is required. In this study, data-mining methodology is addressed to discover knowledge from large-scale and real interaction data in collaborative learning communities. We propose to use Knowledge Discovery in Databases (KDD) approach for knowledge discovery in collaborative communities. A case study of role discovery in collaborative learning is developed to demonstrate the usefulness of the approach. | - |
dc.language | eng | en_HK |
dc.publisher | Inderscience Publishers. The Journal's web site is located at http://www.inderscience.com/ijiem | en_HK |
dc.relation.ispartof | International Journal of Internet and Enterprise Management | en_HK |
dc.rights | International Journal of Internet and Enterprise Management. Copyright © Inderscience Publishers. | - |
dc.subject | CSCL | - |
dc.subject | Computer-supported | - |
dc.subject | Collaborative learning | - |
dc.subject | Communities of practice | - |
dc.subject | Collaborative communities | - |
dc.title | An Investigation into Knowledge Discovery in Collaborative Learning Communities | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Wang, M: magwang@hku.hk | en_HK |
dc.identifier.authority | Wang, M=rp00967 | en_HK |
dc.identifier.doi | 10.1504/IJIEM.2009.023929 | - |
dc.identifier.hkuros | 161696 | en_HK |
dc.identifier.volume | 6 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 177 | - |
dc.identifier.epage | 192 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 1476-1300 | - |