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Title:Integrating AI-driven wearable metaverse technologies into ubiquitous blended learning : a framework based on embodied interaction and multi-agent collaboration
Authors:ID Xu, Jiaqi (Author)
ID Zhai, Xuesong (Author)
ID Chen, Nian-Shing (Author)
ID Ghani, Usman (Author)
ID Istenič, Andreja (Author)
ID Xin, Junyi (Author)
Files:URL https://www.mdpi.com/2227-7102/15/7/900
 
.pdf RAZ_Xu_Jiaqi_2025.pdf (1,60 MB)
MD5: 66C68811109662A3BE2631A01791EADC
 
Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:PEF - Faculty of Education
Abstract: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 interaction and multi-agent collaboration. This framework leverages a real-time multi-modal data analysis architecture, powered by the MobileNetV4 and xLSTM neural networks, to facilitate the dynamic understanding of the learner’s context and environment. Furthermore, we introduced a multi-agent interaction model, utilizing CrewAI and spatio-temporal graph neural networks, to orchestrate collaborative learning experiences and provide personalized guidance. Finally, we incorporated lightweight SLAM algorithms, augmented using visual perception techniques, to enable accurate spatial awareness and seamless navigation within the metaverse environment. This innovative framework aims to create immersive, scalable, and cost-effective learning spaces within the wearable metaverse.
Keywords:metaverse, embodied interaction, wearable, multi-agent, artificial intelligence, ubiquitous blended learning
Publication version:Version of Record
Publication date:15.07.2025
Year of publishing:2025
Number of pages:str. 1-19
Numbering:Vol. 15, issue 7, [article no.] 900
PID:20.500.12556/RUP-21480 This link opens in a new window
UDC:004.8:37
ISSN on article:2227-7102
DOI:10.3390/educsci15070900 This link opens in a new window
COBISS.SI-ID:242838275 This link opens in a new window
Publication date in RUP:17.07.2025
Views:505
Downloads:8
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Record is a part of a journal

Title:Education sciences
Shortened title:Educ. sci.
Publisher:MDPI
ISSN:2227-7102
COBISS.SI-ID:520257817 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:metaverzum, utelešena interakcija, nosljiva tehnologija, večagentni sistem, umetna inteligenca, vseprisotno mešano učenje


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