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The Influence of ‘Insideness’ and ‘Outsideness’ on Learning in Collective Intelligence Systems

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Information Systems, E-learning, and Knowledge Management Research (WSKS 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 278))

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Abstract

The knowledge society and social networking in particular has created affordances for learning through collective intelligence systems. However the learning preferences and approaches of neo-millennial students are both similar and different to traditional models of top-down education. In this conceptual paper, the metaphors of insideness and outsideness are used as an explanatory framework to identify these new affordances and to determine tensions and questions emerging in relation to individual agency.

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Author information

Authors and Affiliations

  1. Faculty of Education, La Trobe University, Australia

    Craig Deed

  2. Faculty of Education, Liverpool Hope University, UK

    Anthony Edwards

Authors
  1. Craig Deed
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  2. Anthony Edwards
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Editor information

Editors and Affiliations

  1. The American College of Greece, Agia Paraskevi, Athens, Greece

    Miltiadis D. Lytras

  2. Ghent University, Gent, Belgium

    Da Ruan

  3. College of Education and Human Development, University of Minnesota, Minneapolis, MN, USA

    Robert D. Tennyson

  4. University of Oviedo, Oviedo-Asturias, Spain

    Patricia Ordonez De Pablos

  5. Universidad de Salamanca, Salamanca, Spain

    Francisco José García Peñalvo

  6. Department of Computer and Systems Sciences, Stockholm University, Kista, Sweden

    Lazar Rusu

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© 2013 Springer-Verlag Berlin Heidelberg

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Deed, C., Edwards, A. (2013). The Influence of ‘Insideness’ and ‘Outsideness’ on Learning in Collective Intelligence Systems. In: Lytras, M.D., Ruan, D., Tennyson, R.D., Ordonez De Pablos, P., García Peñalvo, F.J., Rusu, L. (eds) Information Systems, E-learning, and Knowledge Management Research. WSKS 2011. Communications in Computer and Information Science, vol 278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35879-1_60

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  • DOI: https://doi.org/10.1007/978-3-642-35879-1_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35878-4

  • Online ISBN: 978-3-642-35879-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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