Immersive collaborative learning
With recent advancements in networked immersive virtual reality (IVR), there is now a significant opportunity to systematically investigate how collaborative elements in VR can contribute to more effective learning outcomes. The studies in this research area seek to identify and examine the key mechanisms that should be leveraged to enhance virtual reality-supported collaborative learning environments (VRCL).
This research focuses on the potential of VRCL to improve learning outcomes, specifically by examining whether the visual appearance of embodied avatars plays a role in this process. To explore this, the study compares the effects of collaboration in VRCL when participants embody “expert”-looking avatars versus “novice”-looking avatars, as well as in relation to a control group.
This research investigates the potential of collaboration in IVR versus PC to enhance learning outcomes, with a specific focus on whether the social presence of a partner plays a significant role in the process. A 2x2 experimental design was conducted, involving two IVR groups and two PC groups, in which social presence was systematically manipulated.
This research examines whether generative learning activities can mitigate some of the limitations of immersive learning by helping learners make sense of the key material. Specifically, it investigates whether learners benefit more from being prompted to engage in individual or collaborative generative learning activities during a VR lesson, compared to viewing the same lesson without any breaks.
See publications related to this research here:
- Petersen, G. B., Stenberdt, V., Mayer, R. E., & Makransky, G. (2023). Collaborative generative learning activities in immersive virtual reality increase learning. Computers & Education.
Researchers
| Name | Title | |
|---|---|---|
| Makransky, Guido | Professor |
|
| Shiwalia, Ban Mouid | Student FU |
|
| Simon, Sebastian Andreas | Postdoc |
|
| Stenberdt, Valdemar Aksel | PhD Student |
|
| Svendsen, Magnus Holm | IT Officer |
|
Contact
Guido Makransky
Professor, PI
Study period: 2025 -