Understanding CSCL through the lens of research syntheses
Refereed conference paper presented and published in conference proceedings

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AbstractComputer-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.
Acceptance Date31/01/2019
All Author(s) ListFreydis Vogel, Heisawn Jeong, Susan Yoon, Stian Håklev, Leonore Valentine Guillain, Nour Ghalia Abassi, Sally Wai Yan Wan, Sancia Wai-San Wan, Anika Radkowitsch, Frank Fischer, Cindy Hmelo-Silver
Name of Conference13th International Conference on Computer-Supported Collaborative Learning (CSCL) 2019
Start Date of Conference17/06/2019
End Date of Conference21/06/2019
Place of ConferenceLyon, France
Country/Region of ConferenceFrance
Proceedings TitleA Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings
Volume Number2
Pages783 - 790
LanguagesEnglish-United States

Last updated on 2020-11-07 at 23:30