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Educational Opportunities of a Social Network Game

A Review of Possible Learning Outcomes

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Serious Games (JCSG 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9090))

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Abstract

Social network games (SNG) constitute a game genre with both easy accessibility and low development costs. However, their educational usage is impacted by their reputation as effortless, click-and-reward games. In this case study we apply a taxonomy of learning outcomes in serious games to an elementary SNG (Fliplife). The work is based on long-term gameplay experiences and two online surveys. Each taxonomy component can be mapped successfully to examples from Fliplife. Therefore we argue that SNGs in general, notwithstanding their limited game appeal, can have educational potential. They can be a cost-efficient tool in the context of game-based learning.

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Author information

Authors and Affiliations

  1. Bauhaus-Institute for Infrastructure Solutions (b.is), Bauhaus-Universität Weimar, Weimar, Germany

    Heinrich Söbke & Jörg Londong

Authors
  1. Heinrich Söbke
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  2. Jörg Londong
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Corresponding author

Correspondence to Heinrich Söbke .

Editor information

Editors and Affiliations

  1. Technische Universität Darmstadt, Darmstadt, Germany

    Stefan Göbel

  2. University of Huddersfield, Huddersfield, United Kingdom

    Minhua Ma

  3. University of Bremen, Bremen, Germany

    Jannicke Baalsrud Hauge

  4. SINTEF Technology and Society, Trondheim, Norway

    Manuel Fradinho Oliveira

  5. Technische Universität Darmstadt, Darmstadt, Germany

    Josef Wiemeyer

  6. Technische Universität Darmstadt, Darmstadt, Germany

    Viktor Wendel

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© 2015 Springer International Publishing Switzerland

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Söbke, H., Londong, J. (2015). Educational Opportunities of a Social Network Game. In: Göbel, S., Ma, M., Baalsrud Hauge, J., Oliveira, M., Wiemeyer, J., Wendel, V. (eds) Serious Games. JCSG 2015. Lecture Notes in Computer Science(), vol 9090. Springer, Cham. https://doi.org/10.1007/978-3-319-19126-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-19126-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19125-6

  • Online ISBN: 978-3-319-19126-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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