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Engagement in Social Learning: Detecting Engagement in Online Communities of Practice

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Advances in Human Factors, Business Management, Training and Education

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 498))

Abstract

The education in informal learning contexts is spreading over the world. In these contexts, from a pedagogical point of view, the most used approaches is the social learning and, in particular the communities of practice (CoP). From a technological point of view, the social network is the framework most used to allow users to interact and to share resources. Several aspects have been identified as key factors for the success of the community, the engagement is one of the most important. Thus, in order to guarantee a successful learning process in a CoP it is necessary to detect and monitor user’s engagement in a continuous and unobtrusive way. The research proposes a model to detect and measure the engagement in online communities by means Social Learning Analytics from log files.

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Authors and Affiliations

  1. Università degli Studi di Bari Aldo Moro, Via Orabona 4, 70125, Bari, Italy

    Enrica Pesare, Teresa Roselli & Veronica Rossano

Authors
  1. Enrica Pesare
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  2. Teresa Roselli
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  3. Veronica Rossano
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Corresponding author

Correspondence to Enrica Pesare .

Editor information

Editors and Affiliations

  1. University of Vaasa , Vaasa, Finland

    Jussi Ilari Kantola

  2. Hungarian-Netherlands School of Edu man, University of Szeged Hungarian-Netherlands School of Edu man, Szeged, Hungary

    Tibor Barath

  3. Faculty of Technology and Maritime Scien, University College of Southeast Norway Faculty of Technology and Maritime Scien, Kongsberg, Norway

    Salman Nazir

  4. TiER1 Performance Solutions , Colorado Springs,, Colorado, USA

    Terence Andre

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Pesare, E., Roselli, T., Rossano, V. (2017). Engagement in Social Learning: Detecting Engagement in Online Communities of Practice. In: Kantola, J., Barath, T., Nazir, S., Andre, T. (eds) Advances in Human Factors, Business Management, Training and Education. Advances in Intelligent Systems and Computing, vol 498. Springer, Cham. https://doi.org/10.1007/978-3-319-42070-7_15

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  • DOI: https://doi.org/10.1007/978-3-319-42070-7_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42069-1

  • Online ISBN: 978-3-319-42070-7

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