The use of adaptive VR environments to support students learning in multilingual study guidance (VRiS)
The purpose of the project is to establish experience and knowledge development in multilingual study guidance through adaptive VR environments. The project also aims to develop a cross-disciplinary grounded model for practice-based research. In addition, the empirical experiences from the project will contribute to the development of models for teachers’ professional development and models for re-designing teaching through adaptive VR environments.
A cross-disciplinary collaboration
Recently, the use of immersive technology has gained an increasingly interest in teaching. Virtual reality (VR) is an example of a resource offering prominent potentials for students’ learning. VRiS is a cross-disciplinary collaboration between researchers, teachers, students, VR-designer, and ICT-teacher.
The point of departure of the project is a co-design research approach combining methods of action research and design based research (DBR). This involves interventions of educational activities in real classroom situations planned in systematic, iterative and reflective collaboration between researchers, teachers, students, VR-designer and ICT-teacher.
The research project is led by Emma Edstrand, PhD in educational sciences, and also includes Jeanette Sjöberg, associate professor of pedagogy and Sylvana Sofkova Hashemi, professor in digital learning. In addition to the researchers, the project group also includes two multilingual study guide teachers, one VR-designer and one ICT-teacher from Båstads Municipality.
About the project
Project period
- 2022–2024
Collaboration partners
- Båstad Municipality (Östra Karup school, Bjäre shool and Förslöv school)
- The research project is carried out within the ULF agreement.
Project participants
- Emma Edstrand, PhD in educational sciences
- Jeanette Sjöberg, associate professor of pedagogy
- Sylvana Sofkova Hashemi, professor in digital learning
Contact
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Sylvana Sofkova Hashemi, professor in digital learning