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Title: Making the Design of CSCL Analytics Interfaces a Co-design Process: the Case of Multimodal Teamwork in Healthcare
Authors: Martinez-Maldonado, Roberto
Echeverria, Vanessa
Elliott, Doug
Axisa, Carmen
Power, Tamara
Shum, Simon Buckingham
Issue Date: Jun-2019
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Martinez-Maldonado, R., Echeverria, V., Elliott, D., Axisa, C., Power, T., & Shum, S. B. (2019). Making the Design of CSCL Analytics Interfaces a Co-design Process: the Case of Multimodal Teamwork in Healthcare. 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. 859-860). Lyon, France: International Society of the Learning Sciences.
Abstract: Multimodal Learning Analytics innovations offer exciting opportunities for Computer-Supported Collaborative Learning (CSCL) practice and research, but they also make more evident the need to make the design of analytics tool into a horizontal, co-design process. The emergence of new algorithms and sensors can be a major breakthrough in the way CSCL research is conducted and automated feedback is provided. However, there still is a lack of research on how these innovations can be used by teachers and learners, as most existing systems are restricted to experimental research setups. This poster paper sheds light on the first steps that can be made towards making the design of CSCL analytics interfaces a co-design process where teachers, learners and other stakeholders become design partners.
Appears in Collections:CSCL 2019

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