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Complicity: An International Journal of Complexity and Education
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  3. Vol. 7 No. 1 (2010)

Vol. 7 No. 1 (2010)

Published: 2010-01-01

Editorial

  • What's So Special About a Special Issue?

    William E. Doll Jr.
    • PDF

Research Articles

  • Interpreting Embodied Mathematics Using Network Theory: Implications for Mathematics Education

    Elizabeth Mowat, Brent Davis
    • PDF

Invited Responses

  • Your Metaphor or My Metonymy?

    John H. Mason
    • PDF
  • The Value of Complexity

    Paul Cilliers
    • PDF
  • What Does Network Theory Contribute to Theorization of Mathematics Teaching?

    David Kirshner, Stephen Lerman, Thomas E. Ricks
    • PDF
  • Inspiriting a Disembodying of the "Dream of a Single Logic"

    Dalene M. Swanson
    • PDF
  • Brought-Forth Possibilities for Attentiveness in the Mathematics Classroom

    Randa Khattar
    • PDF
  • If Mowat & Davis are Correct then Teaching is Hard

    Kris Green, Bernard Ricca
    • PDF
  • Mathematics as Complex System: Learning in Complex Adaptive Systems

    Michelle E. Jordan
    • PDF
  • In the Flesh: Living Growing Conceptual Domains in a Geometry Lesson

    Jennifer S. Thom, Wolff-Michael Roth, Alfredo Bautista
    • PDF
  • Compliance or Complicity?

    Jean-François Maheux
    • PDF
  • Mathematics and Metaphor

    Paul Ernest
    • PDF

Open Forum

  • Join the Conversation: Respond to Elizabeth Mowat & Brent Davis

    • PDF

About

About

Complicity is an open access (free to all readers), peer-reviewed journal that publishes original articles on all aspects of education that are informed by the idea of complexity (in its technical, applied, philosophical, theoretical, or narrative manifestations). The journal strives to serve as a forum for both theoretical and practical contributions and to facilitate the exchange of diverse ideas and points of view related to complexity in education.

We are no longer accepting submissions.

University of Alberta LibraryComplicity: An International Journal of Complexity and Education | ISSN 1710-5668
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