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International Workshop on Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data

HCI-KDD 2013: Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data pp 358–365Cite as

Learning Analytics to Support the Use of Virtual Worlds in the Classroom

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7947))

Abstract

Virtual worlds in education, intelligent tutorial systems, and learning analytics – all these are current buzz words in recent educational research. In this paper we introduce ProNIFA, a tool to support theory-grounded learning analytics developed in the context of the European project Next-Tell. Concretely we describe a log file analysis and presentation module to enable teachers making effectively use of educational scenarios in virtual worlds such as OpenSimulator or Second Life.

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Author information

Authors and Affiliations

  1. Cognitive Science Section, Knowledge Management Institute, Graz University of Technology, Inffeldgasse 13, 8010, Graz, Austria

    Michael D. Kickmeier-Rust & Dietrich Albert

Authors
  1. Michael D. Kickmeier-Rust
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  2. Dietrich Albert
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Editor information

Editors and Affiliations

  1. Institute for Medical Informatics, Statistics and Documentation (IMI), Medical University Graz, Auenbruggerplatz 2/V, 8036, Graz, Austria

    Andreas Holzinger

  2. Department of Informatics, Systems and Communication, University of Milano-Bicocca, Viale Sarca 336, 20126, Milano, Italy

    Gabriella Pasi

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Kickmeier-Rust, M.D., Albert, D. (2013). Learning Analytics to Support the Use of Virtual Worlds in the Classroom. In: Holzinger, A., Pasi, G. (eds) Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data. HCI-KDD 2013. Lecture Notes in Computer Science, vol 7947. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39146-0_34

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  • DOI: https://doi.org/10.1007/978-3-642-39146-0_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39145-3

  • Online ISBN: 978-3-642-39146-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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