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dc.contributor.authorBick, Nathalie
dc.contributor.authorFroehlich, Laura
dc.contributor.authorVoltmer, Jan-Bennet
dc.contributor.authorRaimann, Jennifer
dc.contributor.authorReich-Stiebert, Natalia
dc.contributor.authorSeidel, Niels
dc.contributor.authorBurchart, Marc
dc.contributor.authorMartiny, Sarah E.
dc.contributor.authorNikitin, Jana
dc.contributor.authorStürmer, Stefan
dc.contributor.authorMartin, Andreas
dc.date.accessioned2024-11-14T11:23:56Z
dc.date.available2024-11-14T11:23:56Z
dc.date.issued2024-09-13
dc.description.abstractCollaboration improves multiple academic and social outcomes. Accordingly, computer-supported collaborative learning (CSCL) can be beneficial in distance education contexts to overcome the issues specific to online learning (e.g., underperformance, low identification with university). Distance universities often attract a substantial number of non-traditional students (e.g., students with disability, students with migration background). Despite their representation, non-traditional students face negative stereotypes and associated social consequences, including social identity threat, diminished sense of belonging, and less motivation for social interactions. In the context of online learning, where there is little individuating information, social categories like socio-demographic group memberships become salient, activating stereotypes. Consequently, socio-demographic group memberships can have detrimental consequences for the integration of non-traditional students. The purpose of the present study was to (a) determine the extent of social identity threat for students in higher distance education, (b) explore the social consequences of this threat in the same context, (c) validate these findings through longitudinal analyses embedded in a CSCL task, and (d) use learning analytics to test behavioral outcomes. In a longitudinal study with three measurement occasions over 8 weeks (N = 1,210), we conducted path analyses for cross-sectional associations and Random Intercept Cross-Lagged Panel Models for longitudinal predictions. The results showed that non-traditional students mostly reported higher social identity threat than traditional students. While the expected longitudinal within-person effects could not be demonstrated, we found stable between-person effects: students who reported higher levels of social identity threat also reported lower sense of belonging and lower social approach motivation. Exploratory analyses of actual online collaboration during CSCL offer potential avenues for future research. We conclude that social identity threat and its social consequences play an important role in higher distance education and should therefore be considered for successful CSCL.en_US
dc.identifier.citationBick, Froehlich, Voltmer, Raimann, Reich-Stiebert, Seidel, Burchart, Martiny, Nikitin, Stürmer, Martin. Virtually isolated: social identity threat predicts social approach motivation via sense of belonging in computer-supported collaborative learning. Frontiers in Psychology. 2024;15en_US
dc.identifier.cristinIDFRIDAID 2309467
dc.identifier.doi10.3389/fpsyg.2024.1346503
dc.identifier.issn1664-1078
dc.identifier.urihttps://hdl.handle.net/10037/35725
dc.language.isoengen_US
dc.publisherFrontiers Mediaen_US
dc.relation.journalFrontiers in Psychology
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2024 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleVirtually isolated: social identity threat predicts social approach motivation via sense of belonging in computer-supported collaborative learningen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)