A multi-method approach to capture quality of collaborative group engagement

dc.contributor.authorPaneth, Lisa
dc.contributor.authorJeitziner, Loris Tizian
dc.contributor.authorRack, Oliver
dc.contributor.authorZahn, Carmen
dc.contributor.editorDamsa, Crina
dc.contributor.editorBorge, Marcela
dc.contributor.editorKoh, Elizabeth
dc.contributor.editorWorsley, Marcelo
dc.date.accessioned2023-12-15T06:19:08Z
dc.date.available2023-09-21T13:12:28Z
dc.date.available2023-12-15T06:19:08Z
dc.date.issued2023
dc.description.abstractMulti-method approaches are an emerging trend in CSCL research as they allow to paint a more comprehensive picture of complex group learning processes than using a single method. In this contribution, we combined measures from different data sources to capture the quality of collaborative group engagement (QCGE) in CSCL-groups: QCGE-self-assessments, QCGE-ratings of verbal group communication, and video recorded nonverbal group behaviors. Using different methods of analysis, we visualized, described, and analyzed the data and related the measures to each other. Here, we present results suggesting that measures from different data sources are interrelated: For instance, nonverbal behavior (like nodding the head) is related to high QCGE-ratings of verbal communications. Results are preliminary and show disparities, too. Yet, we conclude that the multi-method approach results in a more comprehensive understanding of QCGE. Feasibility and suitability of the multi-method approach are discussed and conclusions for future research are drawn.
dc.description.urihttps://2023.isls.org/proceedings/
dc.eventAnnual Meeting of the International Society of the Learning Sciences ISLS
dc.identifier.doihttps://doi.org/10.22318/cscl2023.134087
dc.identifier.urihttps://doi.org/10.26041/fhnw-5468
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/38900
dc.language.isoen
dc.publisherInternational Society of the Learning Sciences
dc.relationNext generation learning: Investigating and enhancing collaborative group engagement quality to support learning groups [by social robots], 2020-06-01
dc.relation.ispartofProceedings of the 16th International Conference on Computer-Supported Collaborative Learning - CSCL 2023
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.spatialMontréal, Canada
dc.subject.ddc150 - Psychologie
dc.subject.ddc370 - Erziehung, Schul- und Bildungswesen
dc.titleA multi-method approach to capture quality of collaborative group engagement
dc.type04B - Beitrag Konferenzschrift
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Angewandte Psychologiede_CH
fhnw.affiliation.institutInstitut für Kooperationsforschung und -entwicklungde_CH
fhnw.openAccessCategoryGold
fhnw.pagination91-98
fhnw.publicationStatePublished
relation.isAuthorOfPublicationd1dc8150-54f8-4d62-a545-88d9f15606d8
relation.isAuthorOfPublication7e715c5e-367f-4397-b008-71f34d4b60cc
relation.isAuthorOfPublicationd5c2dec8-fe2a-48bb-b888-e064c0f0647a
relation.isAuthorOfPublicationc3e37a34-6354-452a-b030-d5cffefda17d
relation.isAuthorOfPublication.latestForDiscoveryd1dc8150-54f8-4d62-a545-88d9f15606d8
relation.isProjectOfPublication152c0893-2be1-4ed6-b831-e2d9611453cb
relation.isProjectOfPublication.latestForDiscovery152c0893-2be1-4ed6-b831-e2d9611453cb
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