Publikation: Learning effectiveness of immersive virtual reality in education and training : a systematic review of findings
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The use of immersive virtual reality (IVR) offers a variety of design possibilities for action-oriented teaching and learning that enables the promotion of specific knowledge and skills. In order to use IVR applications as an effective teaching and learning medium, it is important to understand the potential advantages and disadvantages of this technology compared to other media. This raises the question of what type of learning environment is most effective in promoting specific knowledge and skills. To answer these questions, a systematic review of research on learning with IVR in an educational context was conducted using the PRISMA method (Liberati et al., 2009; Page et al., 2021). The study analyzed 30 relevant research articles to compare the relative effectiveness of IVR-based learning and its impact on learner engagement, as outlined in the ICAP framework (Chi & Wylie, 2014). The results indicate that IVR has a positive impact on learning compared to other types of media. The study suggests that IVR technology is suitable for learning environments that prioritize active learner engagement and practical application, such as active manipulation and constructive creation. In summary, the results offer more insights into the advantages of using IVR to accomplish particular learning objectives.
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CONRAD, Matthias, David KABLITZ, Stephan SCHUMANN, 2024. Learning effectiveness of immersive virtual reality in education and training : a systematic review of findings. In: Computers & Education: X Reality. Elsevier BV. 2024, 4, 100053. ISSN 2949-6780. Verfügbar unter: doi: 10.1016/j.cexr.2024.100053BibTex
@article{Conrad2024Learn-69442, year={2024}, doi={10.1016/j.cexr.2024.100053}, title={Learning effectiveness of immersive virtual reality in education and training : a systematic review of findings}, volume={4}, issn={2949-6780}, journal={Computers & Education: X Reality}, author={Conrad, Matthias and Kablitz, David and Schumann, Stephan}, note={Article Number: 100053} }
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