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Design Prompts for Virtual Reality in Education

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Artificial Intelligence in Education (AIED 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11626))

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Abstract

The Learning Innovation team at the Open University, the UK’s largest higher education institution, is leading a project to support the design and implementation of educational Virtual Reality (VR). Using an iterative design methodology enables the team to explore VR’s educational affordances, and the new opportunities these represent to educators over established media forms. The design and development of two VR applications utilizing IBM Watson’s Artificial Intelligence (AI), for language learning and phlebotomy, has resulted in design principles that reinforces understanding of implementing AI in VR. The design principles are part of a broader ‘suitability toolkit’ enabling a practical assessment of the appropriateness of VR in educational contexts early on in the design process.

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Authors and Affiliations

  1. Learning Innovation, The Open University, Milton Keynes, UK

    Lawrence Kizilkaya & David Vince

  2. Institute of Educational Technology, The Open University, Milton Keynes, UK

    Wayne Holmes

Authors
  1. Lawrence Kizilkaya
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  2. David Vince
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  3. Wayne Holmes
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Corresponding author

Correspondence to Wayne Holmes .

Editor information

Editors and Affiliations

  1. University of Sao Paulo, Sao Paulo, Brazil

    Seiji Isotani

  2. University of Malaga, Málaga, Spain

    Eva Millán

  3. Carnegie Mellon University, Pittsburgh, PA, USA

    Amy Ogan

  4. DePaul University, Chicago, IL, USA

    Peter Hastings

  5. Carnegie Mellon University, Pittsburgh, PA, USA

    Bruce McLaren

  6. University College London, London, UK

    Rose Luckin

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Kizilkaya, L., Vince, D., Holmes, W. (2019). Design Prompts for Virtual Reality in Education. In: Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds) Artificial Intelligence in Education. AIED 2019. Lecture Notes in Computer Science(), vol 11626. Springer, Cham. https://doi.org/10.1007/978-3-030-23207-8_25

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  • DOI: https://doi.org/10.1007/978-3-030-23207-8_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23206-1

  • Online ISBN: 978-3-030-23207-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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