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Enhancing Virtual Reality Learning Environments with Adaptivity: Lessons Learned

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HCI in Work and Learning, Life and Leisure (USAB 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6389))

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Abstract

Virtual Reality (VR) is gaining in popularity and its added value for learning is being recognized. However, its richness in representation and manipulation possibilities may also become one of its weaknesses, as some learners may be overwhelmed and be easily lost in a virtual environment. Others may spend all their time on exploring features not relevant for their learning tasks. Therefore, being able to dynamically adapt the virtual environment to the personal preferences, prior knowledge, skills and competences, learning goals and the personal or social context in which the learning takes place becomes important. In this paper, we discuss possible adaptations and adaptation strategies for virtual learning environments. We also report on a prototype implementation of an adaptive Web-based virtual learning environment and the lessons learned from this.

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Author information

Authors and Affiliations

  1. WISE Research Group, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussel, Belgium

    Olga De Troyer, Frederic Kleinermann & Ahmed Ewais

Authors
  1. Olga De Troyer
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  2. Frederic Kleinermann
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  3. Ahmed Ewais
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Editor information

Editors and Affiliations

  1. Institute of Informatics Systems Interactive Systems Research Group, Alpen-Adria-Universität Klagenfurt, Universitätsstraße 65-67, 9020, Klagenfurt, Austria

    Gerhard Leitner  & Martin Hitz  & 

  2. Institute for Medical Informatics, Statistics and Documentation (IMI), Research Unit HCI4MED, Medical University of Graz (MUG), Auenbruggerplatz 2/V, 8036, Graz, Austria

    Andreas Holzinger

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De Troyer, O., Kleinermann, F., Ewais, A. (2010). Enhancing Virtual Reality Learning Environments with Adaptivity: Lessons Learned. In: Leitner, G., Hitz, M., Holzinger, A. (eds) HCI in Work and Learning, Life and Leisure. USAB 2010. Lecture Notes in Computer Science, vol 6389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16607-5_16

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  • DOI: https://doi.org/10.1007/978-3-642-16607-5_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16606-8

  • Online ISBN: 978-3-642-16607-5

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