Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-02767-3_23
DC FieldValue
dc.titleExploring the influences of individualism-collectivism on individual's perceived participation equality in virtual learning teams
dc.contributor.authorZhong, Y.
dc.contributor.authorLiu, N.
dc.contributor.authorLim, J.
dc.date.accessioned2013-07-11T10:14:18Z
dc.date.available2013-07-11T10:14:18Z
dc.date.issued2009
dc.identifier.citationZhong, Y.,Liu, N.,Lim, J. (2009). Exploring the influences of individualism-collectivism on individual's perceived participation equality in virtual learning teams. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5623 LNCS : 207-216. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-02767-3_23" target="_blank">https://doi.org/10.1007/978-3-642-02767-3_23</a>
dc.identifier.isbn3642027660
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/42636
dc.description.abstractThis study aims to investigate the effects of equal participation on individual member's self assessment in terms of self-reported learning, self-perceived value of contribution, group identity and process satisfaction. Further, we examine how these effects of equal participation on individual learners are moderated by learners' cultural orientation in terms of individualism-collectivism. Data were collected from 65 virtual learning teams involving 195 undergraduates in a college in south China. MANOVA tests were performed to test the hypotheses. Findings revealed supportive results to most of posited main effects as well as moderating effects. © 2009 Springer Berlin Heidelberg.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-02767-3_23
dc.sourceScopus
dc.subjectComputer Supported Collaborative Learning (CSCL)
dc.subjectE-Learning
dc.subjectIndividualism-Collectivism
dc.subjectLearning outcomes
dc.subjectParticipation
dc.typeConference Paper
dc.contributor.departmentINFORMATION SYSTEMS
dc.description.doi10.1007/978-3-642-02767-3_23
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume5623 LNCS
dc.description.page207-216
dc.identifier.isiutNOT_IN_WOS
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