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Academic Performance in a 3D Virtual Learning Environment: Different Learning Types vs. Different Class Types

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Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8863))

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Abstract

The last decade has seen an increasing interest in the use of 3D virtual environments for educational applications. However, very few studies investigated the influence of the learning context, such as class type and learning type, on learners’ academic performance. This paper studied the impact of class type (i.e. comprehensive or selective) classes, as well as learning type (i.e. guided or challenge and guided), on students’ level of usage of a Virtual Learning Environment (VLE) as well as on their academic performance. The results showed that, unlike class type, there is a significant difference between learners’ in their usage of the VLE. Moreover, the results showed that the levels of using a VLE significantly correlated with learners’ academic performance.

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Authors and Affiliations

  1. Computing Department, Macquarie University, NSW, 2109, Australia

    Nader Hanna & Deborah Richards

  2. Centre for Computer Supported Learning and Cognition, The University of Sydney, NSW, 2006, Australia

    Michael J. Jacobson

Authors
  1. Nader Hanna
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  2. Deborah Richards
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  3. Michael J. Jacobson
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Editor information

Editors and Affiliations

  1. University of Tasmania, Private Bag 87, 7001, Hobart, Tasmania, Australia

    Yang Sok Kim  & Byeong Ho Kang  & 

  2. Department of Computing, Faculty of Science, Macquarie University, 2109, Sydney, Australia

    Deborah Richards

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Hanna, N., Richards, D., Jacobson, M.J. (2014). Academic Performance in a 3D Virtual Learning Environment: Different Learning Types vs. Different Class Types. In: Kim, Y.S., Kang, B.H., Richards, D. (eds) Knowledge Management and Acquisition for Smart Systems and Services. PKAW 2014. Lecture Notes in Computer Science(), vol 8863. Springer, Cham. https://doi.org/10.1007/978-3-319-13332-4_1

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  • DOI: https://doi.org/10.1007/978-3-319-13332-4_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13331-7

  • Online ISBN: 978-3-319-13332-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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