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Better Later Than Ever: Comparative Analysis of Feedback Strategies in a Dynamic Intelligent Virtual Reality Training Environment for Child Pedestrians

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Data Driven Approaches in Digital Education (EC-TEL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10474))

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Abstract

Children require practical roadside training to learn safe pedestrian behaviour. However, problems associated with exercising on real roads greatly restrict the opportunities to provide such training. This paper presents the results of a study on an alternative approach for practical safety training using a combination of Intelligent Tutoring and Virtual Reality. In a classroom experiment, children of second and third grades worked on virtual road crossing exercises. They received instructions and feedback according to several different strategies. We have observed a high general acceptance for this form of training and compared effects of different feedback strategies on children’s’ performance. The delayed feedback strategy has been the most successful; its impact has been especially notable on more advanced pedestrian safety skills that are the most challenging for the children of the target age.

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Notes

  1. 1.

    This research was funded by BMBF (grant 01IS12050) under the Software Campus program.

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Author information

Authors and Affiliations

  1. Saarland University, Campus, 66123, Saarbrücken, Germany

    Yecheng Gu

  2. Utrecht University, Princetonplein 5, 3584 CC, Utrecht, The Netherlands

    Sergey Sosnovsky

Authors
  1. Yecheng Gu
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  2. Sergey Sosnovsky
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Corresponding author

Correspondence to Sergey Sosnovsky .

Editor information

Editors and Affiliations

  1. Jean Moulin Lyon 3 University, Lyon, France

    Élise Lavoué

  2. German Institute for International Educational Research, Goethe University, Frankfurt, Germany

    Hendrik Drachsler

  3. KU Leuven, Leuven, Belgium

    Katrien Verbert

  4. University of Toulouse, Toulouse, France

    Julien Broisin

  5. Pontificia Universidad, Santiago de Chile, Chile

    Mar Pérez-Sanagustín

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Gu, Y., Sosnovsky, S. (2017). Better Later Than Ever: Comparative Analysis of Feedback Strategies in a Dynamic Intelligent Virtual Reality Training Environment for Child Pedestrians. In: Lavoué, É., Drachsler, H., Verbert, K., Broisin, J., Pérez-Sanagustín, M. (eds) Data Driven Approaches in Digital Education. EC-TEL 2017. Lecture Notes in Computer Science(), vol 10474. Springer, Cham. https://doi.org/10.1007/978-3-319-66610-5_63

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  • DOI: https://doi.org/10.1007/978-3-319-66610-5_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66609-9

  • Online ISBN: 978-3-319-66610-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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