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Designs for Visualizing Collective Intelligence in Knowledge Building Communities

Published:05 April 2018Publication History

ABSTRACT

Collective intelligence [1, 2] is a key characteristic of innovative groups and organizations that self-organize in online environments to generate and disseminate knowledge for public good. Collaborative Innovation Networks (COINs) [3] and Knowledge Building communities [4] represent powerful models that inform the emergence and sustainability of collective intelligence in organizational contexts, as well as educational contexts. For example, a key dynamic of COINs and Knowledge Building communities is collective responsibility for advancing the state of community knowledge [5], as indicated by decentralized social structures and rotating leadership over time [6]. Additionally, both COINs and Knowledge Building communities engage in knowledge practices that leverage the affordances of online environments, using embedded data analytics to visualize group dynamics, troubleshoot emergent issues, and identify promising areas for improvement. This study highlights the theoretical intersections between these two models of organizational innovation in order to explore technological designs for visualizing collective intelligence in Knowledge Forum [7], an online platform optimized for knowledge creation and innovation. More specifically, the six indicators of COINs [8] - rapid response, balanced contribution, central leaders, rotating leadership, honest sentiment, and innovative language - are refined and adapted within the context of Knowledge Building communities, wherein the design challenge is enabling self-organization around idea improvement. Using social network analysis, lexical analysis, sentiment analysis, and statistical analysis, next-generation designs for Knowledge Forum analytics are proposed. The educational value and practical implications of these designs are discussed within the context of education for innovation in technology-based societies.

References

  1. Malone, T.W. and Bernstein, M.S., 2015. Handbook of collective intelligence. MIT Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Malone, T.W., Laubacher, R. and Dellarocas, C., 2010. The collective intelligence genome. MIT Sloan Management Review, 51(3), pp. 21--31.Google ScholarGoogle Scholar
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  6. Ma, L., Matsuzawa, Y. and Scardamalia, M., 2016. Rotating leadership and collective responsibility in a grade 4 Knowledge Building classroom. International Journal of Organisational Design and Engineering, 4 (1-2), pp. 54--84.Google ScholarGoogle ScholarCross RefCross Ref
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  8. Gloor, PA., 2017. Swarm Leadership and the Collective Mind: Using Collaborative Innovation Networks to Build a Better Business. Emerald Publishing Limited.Google ScholarGoogle Scholar

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  1. Designs for Visualizing Collective Intelligence in Knowledge Building Communities

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        cover image ACM Other conferences
        TechMindSociety '18: Proceedings of the Technology, Mind, and Society
        April 2018
        143 pages
        ISBN:9781450354202
        DOI:10.1145/3183654

        Copyright © 2018 Owner/Author

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 5 April 2018

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        TechMindSociety '18 Paper Acceptance Rate17of63submissions,27%Overall Acceptance Rate17of63submissions,27%
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