通过支持扩展现实和万物互联的 Metaverses 推进教育:应用、挑战和未决问题

IF 2.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Senthil Kumar Jagatheesaperumal;Kashif Ahmad;Ala Al-Fuqaha;Junaid Qadir
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引用次数: 0

摘要

元宇宙(Metaverse)已发展成为热门的研究议程之一,它能让用户在一个联网的三维沉浸式虚拟世界中学习、社交和协作。由于元宇宙具有丰富的多媒体流功能和高速通信带来的身临其境的用户体验,因此是教育、培训和技能开发任务的理想模型。为了促进该领域的研究,我们全面回顾了各种教育用例,并探讨了扩展现实和万物互联等使能技术将如何在未来的元虚拟世界教育服务中发挥重要作用。然后,我们概述了基于元宇宙的教育应用,重点关注教育、培训和技能发展,并分析了这些应用所依托的技术。我们指出了该领域常见的研究问题和未来的研究方向。本文还指出了元世界教育的核心伦理问题和潜在隐患。我们相信,这项调查可以充分展示元数据驱动教育的多功能性,从而为研究人员提供潜在的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues
Metaverse has evolved as one of the popular research agenda that let users learn, socialize, and collaborate in a networked 3-D immersive virtual world. Due to the rich multimedia streaming capability and immersive user experience with high-speed communication, the metaverse is an ideal model for education, training, and skill development tasks. To facilitate research in this area, we provide a comprehensive review of the various educational use cases and explore how enabling technologies, such as extended reality and the Internet of Everything will play a major role in educational services in future metaverses. Then, we provide an overview of metaverse-based educational applications focusing on education, training, and skill development and analyze the technologies they are built upon. We identify common research problems and future research directions in the domain. This article also identifies core ethical considerations of metaverse for education and potential pitfalls. We believe this survey can fully demonstrate the versatility of metaverse-driven education, which could serve as a potential guideline for the researchers.
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来源期刊
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.50
自引率
5.40%
发文量
82
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.
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