Journal article Open Access

Assessing the emotional impact of Virtual Reality-based teacher training

Stavroulia Kalliopi Evangelia; Christofi Maria; Baka Evangelia; Michael-Grigoriou Despina; Magnenat-Thalmann Nadia; Lanitis Andreas

This paper proposes the use of a Virtual Reality (VR) based approach to improve teacher education and life-long professional development. Through constant training in real-life based situations but within a safe three-dimensional virtual school environment, teachers are given the opportunity to experience and learn how to react to different types of incidents that may take place in a school environment. The current paper presents the design cycle that was followed for the implementation of the VR teacher training system. The effectiveness of the proposed approach is demonstrated with a case study that aimed to promote teachers’ understanding of student’s problematic situations related to substance use. As part of the experimental investigation the impact of the VR system on participants’ emotions and mood states is evaluated through EEG measurements, heart rate recordings and self-reported data. Results indicate significant changes to participant’s negative emotional and mood states, suggesting that the scenario and the VR experience had a strong impact on them.

This work has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 739578 and under Grant Agreement No 692058 and the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development.
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Publication date:
June 3, 2019
DOI:
10.5281/zenodo.3522889

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Keyword(s):
Virtual Reality teacher training emotions, moods teacher competencies substance use
Published in:
International Journal of Information and Learning Technology: 36 pp. 192-217 (3).
Grants:
European Commission:
  • NOTRE - Network for sOcial compuTing REsearch (NOTRE) (692058)
  • RISE - Research Center on Interactive Media, Smart System and Emerging Technologies (739578)
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License (for files):
Creative Commons Attribution Non Commercial No Derivatives 4.0 International

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Version Accepted pre-print 10.5281/zenodo.3522889 Jun 3, 2019
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