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An Immersive Laboratory Environment for a Customized Learning Experience

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Immersive Learning Research Network (iLRN 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1904))

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Abstract

Science, technology, engineering, and mathematics (STEM) are important drivers of innovation, yet students are often unmotivated and do not understand why they need to learn these subjects. Virtual reality (VR) and virtual environments are useful tools for conceptual understanding with a high degree of immersion. They enable the creation of engaging and inspiring learning experiences. Additionally, personalization and customization can promote motivated usage and high user acceptability. A customized experience that takes into account the unique characteristics of the player can thus be an essential factor in learning. In this paper, we explore the potential of a customized learning environment to increase students’ motivation in learning physics. We present an AB study with 95 students to evaluate their motivation and experience during the learning process. The results indicate that the learning experience slightly increases when the learning process takes place in a customizable experimental environment.

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Author information

Authors and Affiliations

  1. Graz University of Technology, Graz, Austria

    Michael Holly, Sandra Brettschuh & Johanna Pirker

Authors
  1. Michael Holly
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  2. Sandra Brettschuh
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  3. Johanna Pirker
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Corresponding author

Correspondence to Michael Holly .

Editor information

Editors and Affiliations

  1. Queen Mary University of London, London, UK

    Marie-Luce Bourguet

  2. University of Potsdam, Potsdam, Germany

    Jule M. Krüger

  3. University of Aveiro, Aveiro, Portugal

    Daniela Pedrosa

  4. Goethe University Frankfurt, Frankfurt am Main, Germany

    Andreas Dengel

  5. British Telecom Research Labs, Ipswich, UK

    Anasol Peña-Rios

  6. University of Montana, Missoula, MT, USA

    Jonathon Richter

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Holly, M., Brettschuh, S., Pirker, J. (2024). An Immersive Laboratory Environment for a Customized Learning Experience. In: Bourguet, ML., Krüger, J.M., Pedrosa, D., Dengel, A., Peña-Rios, A., Richter, J. (eds) Immersive Learning Research Network. iLRN 2023. Communications in Computer and Information Science, vol 1904. Springer, Cham. https://doi.org/10.1007/978-3-031-47328-9_27

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  • DOI: https://doi.org/10.1007/978-3-031-47328-9_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-47327-2

  • Online ISBN: 978-3-031-47328-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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