Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/7561
Title: Computational Art Ecologies
Authors: Anton, Gabriella
Wilensky, Uri
Keywords: Learning Sciences
Issue Date: Jun-2021
Publisher: International Society of the Learning Sciences
Citation: Anton, G. & Wilensky, U. (2021). Computational Art Ecologies. In de Vries, E., Hod, Y., & Ahn, J. (Eds.), Proceedings of the 15th International Conference of the Learning Sciences - ICLS 2021. (pp. 701-704). Bochum, Germany: International Society of the Learning Sciences.
Abstract: We argue for a broader approach to understanding computational thinking that decentralizes CT from the definitions in CS and STEM and works toward authentic definitions in other fields. We contribute to this scholarship by exploring the intersection of computational thinking and art. While there have been myriad successes in creative computing initiatives within education, there has been little research to characterize the authentic computational practices within art fields. We propose a new theoretical frame, computational art ecologies–based on Dewey’s theory of art as experience– which can be used to capture and visualize an artist’s relationship to computation and art. We introduce two cases of computational artists within this theoretical frame and highlight the differences in their relationships to these fields of practice.
URI: https://doi.dx.org/10.22318/icls2021.701
https://repository.isls.org//handle/1/7561
Appears in Collections:ISLS Annual Meeting 2021

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