Creative collaboration and flow
Validating the use of trace data to measure dynamics of creative flow in collaborative design teams
Lorraine Kisselburgh (Purdue University)
Ninger Zhou (Purdue University)
R.S.K. Chandrasegaran (Purdue University)
Sriram Karthik Badam (University of Maryland)
Niklas Elmqvist (University of Maryland)
Kylie Peppler (Indiana University)
Karthik Ramani (Purdue University)
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Abstract
We use sociometric trace data to create an index of dynamic group flow in collaborative design teams. Sixteen students in four teams worked on a collaborative engineering design task, while wearing sociometric devices to collect real-time data on team interaction. Results indicate that group flow as measured by dynamic trace data is partially correlated with self-reported flow. This finding implies the potential to use trace data to provide reliable and dynamic measures of task engagement during collaborative learning.
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