Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Integrating AI-Driven Wearable Metaverse Technologies into Ubiquitous Blended Learning: A Framework Based on Embodied Interaction and Multi-Agent Collaboration

Jiaqi Xu, Xuesong Zhai, Nian‐Shing Chen, Usman Ghani, Andreja Istenič Starčič, Junyi Xin

Education Sciences · 2025

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Summary

Ubiquitous blended learning, leveraging mobile devices, has democratized education by enabling autonomous and readily accessible knowledge acquisition. However, its reliance on traditional interfaces often limits learner immersion and meaningful interaction. The emergence of the wearable metaverse offers a compelling solution, promising enhanced multisensory experiences and adaptable learning environments that transcend the constraints of conventional ubiquitous learning. This research proposes a novel framework for ubiquitous blended learning in the wearable metaverse, aiming to address critical challenges, such as multi-source data fusion, effective human–computer collaboration, and efficient rendering on resource-constrained wearable devices, through the integration of embodied interact

Source type
Peer-reviewed study
DOI
10.3390/educsci15070900
Catalogue ID
SNmohxvqz7-jhaklc
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