Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/1660
Title: Group Formation in the Digital Age: Relevant Characteristics, Their Diagnosis, and Combination for Productive Collaboration
Authors: Tsovaltzi, Dimitra
Weinberger, Armin
Schmitt, Lara
Bellhäuser, Henrik
Müller, Adrienne
Konert, Johannes
Röpke, René
gijlers, hannie
Eshuis, Elise
Eysink, Tessa
Erkens, Melanie
Manske, Sven
Hoppe, H. Ulrich
Bodemer, Daniel
Sankaranarayanan, Sreecharan
Dashti, Cameron
Bogart, Christopher
Wang, Xu
Sakr, Majd
Hilton, Michael
Rosé, Carolyn
Issue Date: Jun-2019
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Tsovaltzi, 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., Gweon, C. H., & 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.
Abstract: This 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.
URI: https://doi.dx.org/10.22318/cscl2019.719
https://repository.isls.org//handle/1/1660
Appears in Collections:CSCL 2019

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