Computing indicators of creativity

Authors:
Kyu Han Koh;Vicki Bennett;Alexander Repenning
Affiliations:
University of Colorado, Boulder, CO, USA;University of Colorado, Boulder, CO, USA;University of Colorado, Boulder, CO, USA
Venue:
C&C '11 Proceedings of the 8th ACM conference on Creativity and cognition
Year:
2011

Citing 2
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Abstract

Divergent thinking has been linked to creative processes leading to innovative artifacts. Measuring creative divergence can be difficult. Across the USA, the Scalable Game Design (SGD) Project includes thousands of student participants building their own games through learning computational thinking (CT). To evaluate these games, a technique, the Computational Thinking Pattern Analysis (CTPA) [1], was developed, refined and used successfully. Under three different learning conditions, divergence was computed through CTPA, and then analyzed and explored as an indication of creativity.