Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTsovaltzi, Dimitra
dc.contributor.authorWeinberger, Armin
dc.contributor.authorSchmitt, Lara
dc.contributor.authorBellhäuser, Henrik
dc.contributor.authorMüller, Adrienne
dc.contributor.authorKonert, Johannes
dc.contributor.authorRöpke, René
dc.contributor.authorgijlers, hannie
dc.contributor.authorEshuis, Elise
dc.contributor.authorEysink, Tessa
dc.contributor.authorErkens, Melanie
dc.contributor.authorManske, Sven
dc.contributor.authorHoppe, H. Ulrich
dc.contributor.authorBodemer, Daniel
dc.contributor.authorSankaranarayanan, Sreecharan
dc.contributor.authorDashti, Cameron
dc.contributor.authorBogart, Christopher
dc.contributor.authorWang, Xu
dc.contributor.authorSakr, Majd
dc.contributor.authorHilton, Michael
dc.contributor.authorRosé, Carolyn
dc.identifier.citationTsovaltzi, D., Weinberger, A., Schmitt, L., Bellhäuser, H., Müller, A., Konert, J., Röpke, R., gijlers, h., Eshuis, E., Eysink, T., Erkens, M., Manske, S., Hoppe, H. U., Bodemer, D., Sankaranarayanan, S., Dashti, C., Bogart, C., Wang, X., Sakr, M., Hilton, M., & Rosé, C. (2019). Group Formation in the Digital Age: Relevant Characteristics, Their Diagnosis, and Combination for Productive Collaboration. In Lund, K., Niccolai, G. P., Lavoué, E., Hmelo-Silver, C., Gweon, G., & Baker, M. (Eds.), A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, 13th International Conference on Computer Supported Collaborative Learning (CSCL) 2019, Volume 2 (pp. 719-726). Lyon, France: International Society of the Learning Sciences.en_US
dc.description.abstractThis symposium tackles a central topic in CSCL, group formation for productive collaborative learning with / in digital media. Traditional research on group formation has investigated mostly separate learner characteristics as preconditions of learning. Combinations of different learner characteristics and of learner characteristics with collaborative processes have been less in focus. Considering such combinations is necessary to represent the complexity of group interactions and learning. Despite the digitalization of learning, there has been only few attempts to investigate the diagnostic information that mining learner texts and learning processes can contribute to addressing this complexity for optimal group formation, and to assign groups automatically based on multiple parameters simultaneously. This symposium brings together a multi-disciplinary and international consortium of researchers who all focus on group formation for computer supported collaborative learning. They complement each other in investigating different combinations of learner characteristics, learning processes and automatic techniques for optimal group formation.en_US
dc.publisherInternational Society of the Learning Sciences (ISLS)en_US
dc.titleGroup Formation in the Digital Age: Relevant Characteristics, Their Diagnosis, and Combination for Productive Collaborationen_US
Appears in Collections:CSCL 2019

Files in This Item:
File SizeFormat 
719-726.pdf258.31 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.