Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/4505
Title: Understanding CSCL Through the Lens of Research Syntheses
Authors: Vogel, Freydis
Jeong, Heisawn
Yoon, Susan
Håklev, Stian
Guillain, Leonore Valentine
Abassi, Nour Ghalia
Wan, Sally Wai Yan
Wan, Sancia Wai-San
Radkowitsch, Anika
Fischer, Frank
Hmelo-Silver, Cindy
Issue Date: Jun-2019
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Vogel, F., Jeong, H., Yoon, S., Håklev, S., Guillain, L. V., Abassi, N. G., Wan, S. W., Wan, S. W., Radkowitsch, A., Fischer, F., & Hmelo-Silver, C. (2019). Understanding CSCL Through the Lens of Research Syntheses. 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. 783-790). Lyon, France: International Society of the Learning Sciences.
Abstract: Computer-supported collaborative learning (CSCL) forms a diverse field with researchers from different backgrounds using a variety of learning theories and research methods to design and analyze CSCL learning environments. The dynamic and active features of the field can lead to confusion about its identity and conclusions that can be drawn from the outcomes of CSCL research. Syntheses of CSCL research can help to answer questions about the prevalent topics and outcomes in the field. There are a number of synthesis methods to choose depending on the methods used in the primary studies as well as goals of the synthesis. Meta-synthesis is also available to better integrate findings obtained using different research methods. This symposium showcases a spectrum of different synthesis methods used in CSCL. Benefits and disadvantages of the synthesis methods will be discussed along with the question of how different synthesis methods can be used to inform each other.
URI: https://doi.dx.org/10.22318/cscl2019.783
https://repository.isls.org//handle/1/4505
Appears in Collections:CSCL 2019

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