The notion of extended cognition through enaction is essential to understanding how humans think and the relationship between doing and learning. Technologies for embodied interfaces are rapidly converging with improvements in understanding of the role of extended cognition in learning. Creating large-scale, social, immersive and gestural computational interfaces to complex systems provide opportunities to better understand the dimensions of social learning, cooperation, knowledge transmission, and other behaviors that lead to learning in these kinds of environments. This talk will explore the significance of enaction as a replacement for the computational theory of the mind and the experience of developing testing and deploying an application that leverages enaction for deepening visitor understanding of complex human and natural coupled systems in a museum setting.
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