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Remixing as a Pathway to Computational Thinking

Published: 27 February 2016 Publication History

Abstract

Theorists and advocates of “remixing” have suggested that appropriation can act as a pathway for learning. We test this theory quantitatively using data from more than 2.4 million multimedia programming projects shared by more than 1 million users in the Scratch online community. First, we show that users who remix more often have larger repertoires of programming commands even after controlling for the numbers of projects and amount of code shared. Second, we show that exposure to computational thinking concepts through remixing is associated with increased likelihood of using those concepts. Our results support theories that young people learn through remixing, and have important implications for designers of social computing systems.

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dasgupta.pdf (1438_dasgupta_supmat.pdf)
Dasgupta Supplemental Materials

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cover image ACM Conferences
CSCW '16: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing
February 2016
1866 pages
ISBN:9781450335928
DOI:10.1145/2818048
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 27 February 2016

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Author Tags

  1. computer mediated communication
  2. computers and children
  3. creativity support tools
  4. learning
  5. online communities
  6. peer production
  7. remixing
  8. social computing and social navigation

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CSCW '16
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CSCW '16: Computer Supported Cooperative Work and Social Computing
February 27 - March 2, 2016
California, San Francisco, USA

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CSCW '16 Paper Acceptance Rate 142 of 571 submissions, 25%;
Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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  • (2024)DesignQuizzer: A Community-Powered Conversational Agent for Learning Visual DesignProceedings of the ACM on Human-Computer Interaction10.1145/36373218:CSCW1(1-40)Online publication date: 26-Apr-2024
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