Metaverse for Education: Technical Framework and Design Criteria

被引:16
作者
Chen, Xu [1 ]
Zhong, Zheng [1 ]
Wu, Di [1 ]
机构
[1] Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan 430079, Peoples R China
来源
IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES | 2023年 / 16卷 / 06期
关键词
Design criteria; education metaverse; technical framework; STATE;
D O I
10.1109/TLT.2023.3276760
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
As a third-generation Internet form, the Metaverse has received widespread attention for its spatio-temporal expansion, high immersion, sensory extension, and human-computer integration. Considering the prospect of application in the field of education, a series of studies on the design of Education Metaverse frameworks and applications have sprung up. However, there is no consensus on the technical framework of the Education Metaverse, and how to design the key elements is still an outstanding challenge. In this article, we propose a novel five-layer framework for the Education Metaverse guaranteed by management and incentives mechanisms, including physical layer, data layer, computational layer, interaction layer, and application layer. Moreover, the design criteria of three key elements (virtual avatars, virtual learning resources, and virtual teaching scenarios) in the Education Metaverse are presented, as well as interaction modes. Based on this technical framework and design criteria, we develop a prototype system to verify its feasibility and ease of use. This article provides a practical reference for the development and design of Education Metaverse applications, facilitating a step forward in the standardization of Education Metaverse.
引用
收藏
页码:1034 / 1044
页数:11
相关论文
共 64 条
  • [61] Incentive Mechanisms for Crowdsensing: Crowdsourcing With Smartphones
    Yang, Dejun
    Xue, Guoliang
    Fang, Xi
    Tang, Jian
    [J]. IEEE-ACM TRANSACTIONS ON NETWORKING, 2016, 24 (03) : 1732 - 1744
  • [62] Video-driven state-aware facial animation
    Zeng, Ming
    Liang, Lin
    Liu, Xinguo
    Bao, Hujun
    [J]. COMPUTER ANIMATION AND VIRTUAL WORLDS, 2012, 23 (3-4) : 167 - 178
  • [63] Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning
    Zhang, Yu
    Weiss, Ron J.
    Zen, Heiga
    Wu, Yonghui
    Chen, Zhifeng
    Skerry-Ryan, Rj
    Jia, Ye
    Rosenberg, Andrew
    Ramabhadran, Bhuvana
    [J]. INTERSPEECH 2019, 2019, : 2080 - 2084
  • [64] Investigating the impacts of avatar gender, avatar age, and region theme on avatar physical activity in the virtual world
    Zhang, Yulei
    Dang, Yan
    Brown, Susan A.
    Chen, Hsinchun
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2017, 68 : 378 - 387