Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/486
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dc.contributor.authorSwiecki, Zachari
dc.contributor.authorShaffer, D.W.
dc.date.accessioned2018-11-04T23:14:21Z
dc.date.accessioned2018-11-04T22:39:09Z-
dc.date.available2018-11-04T23:14:21Z
dc.date.available2018-11-04T22:39:09Z-
dc.date.issued2018-07
dc.identifier.citationSwiecki, Z. & Shaffer, D. (2018). Toward a Taxonomy of Team Performance Visualization Tools. In Kay, J. and Luckin, R. (Eds.) Rethinking Learning in the Digital Age: Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS) 2018, Volume 1. London, UK: International Society of the Learning Sciences.en_US
dc.identifier.urihttps://doi.dx.org/10.22318/cscl2018.144
dc.identifier.urihttps://repository.isls.org//handle/1/486-
dc.description.abstractResearch on teams has become increasingly important due in part to the status of collaborative problem solving as a vital 21st century skill. Much of this research has focused on factors that affect team processes and outcomes, such as the use of team performance visualization tools. Such tools are also valuable to researchers who make inferences from team data or educators who assess teams and plan interventions. This variety of users suggests that studying these tools requires a user-centered approach focusing on affordance relationships. In this paper, we use Epistemic Network Analysis to create a visual representation of the space of affordance relationships for extant team performance visualization tools. We use this space to compare tools, and to demonstrate empirically the dimensions along which they differ. These dimensions suggest a preliminary taxonomy of tools in terms of their affordance relationships for different users.en_US
dc.language.isoenen_US
dc.publisherInternational Society of the Learning Sciences, Inc. [ISLS].en_US
dc.titleToward a Taxonomy of Team Performance Visualization Toolsen_US
dc.typeBook chapteren_US
Appears in Collections:ICLS 2018

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