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Understanding cscl through the lens of research syntheses
Vogel, Freydis; Jeong, Heisawn; Håklev, Stian3; Guillain, Léonore Valentine3; Abassi, Nour Ghalia3; Wan, Sally Wai Yan4; Wan, Sancia Wai San5; Radkowitsch, Anika6; Vogel, Freydis1,1; Fischer, Frank6; Hmelo-Silver, Cindy E.7; Jeong, Heisawn2,2; Yoon, Susan8
2019
Conference Name13th International Conference on Computer Supported Collaborative Learning - A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, CSCL 2019
Source PublicationComputer-Supported Collaborative Learning Conference, CSCL
Volume2
Pages783-790
Conference Date17 June 2019through 21 June 2019
Conference PlaceLyon
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.

URLView the original
Language英語English
Scopus ID2-s2.0-85073324559
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Document TypeConference paper
CollectionSTANLEY HO EAST ASIA COLLEGE
Affiliation1.University of Nottingham, United Kingdom
2.Hallym University, South Korea
3.École Polytechnique Fédérale de Lausanne, Switzerland
4.The Chinese University of Hong Kong, Hong Kong
5.The University of Macau, Macao
6.Ludwig-Maximilians-Universität München, Germany
7.Indiana University, United States
8.University of Pennsylvania, United States
Recommended Citation
GB/T 7714
Vogel, Freydis,Jeong, Heisawn,Håklev, Stian,et al. Understanding cscl through the lens of research syntheses[C], 2019, 783-790.
APA Vogel, Freydis., Jeong, Heisawn., Håklev, Stian., Guillain, Léonore Valentine., Abassi, Nour Ghalia., Wan, Sally Wai Yan., Wan, Sancia Wai San., Radkowitsch, Anika., Vogel, Freydis., Fischer, Frank., Hmelo-Silver, Cindy E.., Jeong, Heisawn., & Yoon, Susan (2019). Understanding cscl through the lens of research syntheses. Computer-Supported Collaborative Learning Conference, CSCL, 2, 783-790.
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