Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/7305
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dc.contributor.authorSteier, Rolf
dc.contributor.authorDavidsen, Jacob
dc.coverage.spatialBochum, Germanyen_US
dc.date.accessioned2021-10-09T15:44:06Z
dc.date.accessioned2021-10-09T19:46:26Z-
dc.date.available2021-10-09T15:44:06Z
dc.date.available2021-10-09T19:46:26Z-
dc.date.issued2021-06
dc.identifier.citationSteier, R. & Davidsen, J. (2021). Adapting Interaction Analysis to CSCL: A Systematic Review. In Hmelo-Silver, C. E., De Wever, B., & Oshima, J. (Eds.), Proceedings of the 14th International Conference on Computer-Supported Collaborative Learning - CSCL 2021 (pp. 157-160). Bochum, Germany: International Society of the Learning Sciences.en_US
dc.identifier.urihttps://doi.dx.org/10.22318/cscl2021.157
dc.identifier.urihttps://repository.isls.org//handle/1/7305-
dc.description.abstractInteraction Analysis (IA) (Jordan & Henderson, 1995) is a fundamental reference in the learning sciences, and a core method within the International Journal of Computer Supported Collaborative Learning. Surprisingly, despite the vast number of citations and labs around the world practicing forms of interaction analysis, there have been few if any substantial efforts to articulate its central premises in the context of CSCL. Following a systematic review method, the purpose of this preliminary study is to provide an overview and foundation for investigating the ways that IA has been interpreted and applied in the field of CSCL. Our findings suggest that IA has been applied in a variety of computer-mediated learning contexts and arrangements which have required extending and adapting the method in novel ways. Our broader goal is to consider ongoing methodological and technological developments for the future directions of interaction analysis within CSCL.en_US
dc.format.extentpp. 157-160
dc.language.isoen_US
dc.publisherInternational Society of the Learning Sciencesen_US
dc.relation.ispartofProceedings of the 14th International Conference on Computer-Supported Collaborative Learning - CSCL 2021en_US
dc.subjectCSCLen_US
dc.titleAdapting Interaction Analysis to CSCL: A Systematic Reviewen_US
dc.typeConference Paperen_US
dc.typeShort Paperen_US
Appears in Collections:ISLS Annual Meeting 2021

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