Social network analysis for technology-enhanced learning: review and future directions

Rory Sie, Thomas Daniel Ullmann, Kamakshi Rajagopal, Karina Cela, Marlies Bitter-Rijpkema, Peter Sloep

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    Abstract

    By nature, learning is social. The interactions by which we learn from others inherently form a network of relationships among people, but also between people and resources. This paper gives an overview of the potential social network analysis (SNA) may have for social learning. It starts with an overview of the history of social learning and how SNA may be of value. The core of the paper outlines the state-of-art of SNA for technology-enhanced learning (TEL), by means of four possible types of SNA applications: visualisation, analysis, simulation, and interventions. In an outlook, future directions of SNA research for TEL are provided.
    Original languageEnglish
    Pages (from-to)172-190
    Number of pages19
    JournalInternational Journal of Technology Enhanced Learning
    Volume4
    Issue number3/4
    DOIs
    Publication statusPublished - Jan 2012

    Keywords

    • social network analysis
    • technology-enhanced learning
    • social learning
    • literature review
    • roadmap

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