Launch our INSEAD XR - AVRIS ๐๐บ๐บ๐ฒ๐ฟ๐๐ถ๐๐ฒ ๐๐ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด Platform
AVRIS & INSEAD XR: Achieving a Milestone in Immersive AI Learning
AVRIS, in collaboration with INSEAD XR, has successfully launched its Immersive AI Platform Upgrade at scale. This milestone marks a significant step in the integration of advanced AI and XR technologies within academic environments.
During a recent session, over 300 learners engaged with the platform, utilizing Multi-Modal Learning capabilities. The system enabled seamless transitions between VR headsets, mobile devices, and laptops, supporting diverse learning contexts and environments.
The platformโs development was led by Dror Gill, focusing on infrastructure that facilitates real-time interaction and feedback. This technology has been integrated into Prof. Ithai Sternโs strategy course at INSEAD, providing a practical example of how immersive AI can enhance traditional academic programs.
Key Technical Highlights:
โข Multi-Device Compatibility: Learners can switch between VR, mobile, and desktop environments without disruption.
โข Real-Time Interaction: Advanced AI algorithms enable immediate feedback and interactive learning experiences.
โข Data-Driven Learning Design: The system supports the collection and analysis of key data points to inform personalized learning pathways.
Development Process:
The project emphasized the alignment of technology with educational objectives. This involved selecting appropriate tools, mapping specific learning outcomes, and identifying critical data to measure impact and effectiveness. The focus was on creating an infrastructure that supports meaningful educational experiences through the integration of technology, content, and media.
Next Steps:
As AVRIS looks toward 2025, the focus will shift to expanding the capabilities of the Immersive AI Learning Toolbox. This will include further developments aimed at enhancing both on-campus and remote learning environments.
Acknowledgments
The projectโs success reflects the contributions of several key individuals and teams, including INSEAD Dean Francisco Veloso, strategic input on AI and Human-Computer Interaction from Lily Fang, and the operational support of the INSEAD XR Abu Dhabi team, with special recognition to Carole Montias, Dezma Dโsouza, and Florian Schloderer.
For more information on the technical aspects of this project or to discuss potential collaborations, please reach out to the AVRIS team.
Your Website URL: http://xr.insead.edu
