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Article: An Investigation into Knowledge Discovery in Collaborative Learning Communities

TitleAn Investigation into Knowledge Discovery in Collaborative Learning Communities
Authors
KeywordsCSCL
Computer-supported
Collaborative learning
Communities of practice
Collaborative communities
Issue Date2009
PublisherInderscience 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?
AbstractWhile 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 Identifierhttp://hdl.handle.net/10722/60000
ISSN

 

DC FieldValueLanguage
dc.contributor.authorLiao, Jen_HK
dc.contributor.authorWang, Men_HK
dc.contributor.authorLi, Yen_HK
dc.contributor.authorHuang, Ren_HK
dc.date.accessioned2010-05-31T04:01:54Z-
dc.date.available2010-05-31T04:01:54Z-
dc.date.issued2009en_HK
dc.identifier.citationInternational Journal of Internet and Enterprise Management, 2009, v. 6 n. 2, p. 177-192en_HK
dc.identifier.issn1476-1300en_HK
dc.identifier.urihttp://hdl.handle.net/10722/60000-
dc.description.abstractWhile 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.languageengen_HK
dc.publisherInderscience Publishers. The Journal's web site is located at http://www.inderscience.com/ijiemen_HK
dc.relation.ispartofInternational Journal of Internet and Enterprise Managementen_HK
dc.rightsInternational Journal of Internet and Enterprise Management. Copyright © Inderscience Publishers.-
dc.subjectCSCL-
dc.subjectComputer-supported-
dc.subjectCollaborative learning-
dc.subjectCommunities of practice-
dc.subjectCollaborative communities-
dc.titleAn Investigation into Knowledge Discovery in Collaborative Learning Communitiesen_HK
dc.typeArticleen_HK
dc.identifier.emailWang, M: magwang@hku.hken_HK
dc.identifier.authorityWang, M=rp00967en_HK
dc.identifier.doi10.1504/IJIEM.2009.023929-
dc.identifier.hkuros161696en_HK
dc.identifier.volume6-
dc.identifier.issue2-
dc.identifier.spage177-
dc.identifier.epage192-
dc.publisher.placeUnited Kingdom-

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