What is the metaverse? Definitions, technologies and the community of inquiry

Author:

Ng Davy Tsz Kit

Abstract

The term metaverse appeared for the first time in a novel published in 1992. Since the early 2000s, researchers have started to use this term to refer to digital technologies for learners to interact with other users with avatars. The term came to prominence in around 2020 due to the rebranding of Facebook. However, there was no consensus on what kind of technologies should belong to the metaverse and how to conceptualise the term. As such, this paper presents an exploratory review for conceptualising the metaverse based on 19 articles from the Web of Science database. This review focuses on the metaverse trend, how researchers in the past and present conceptualizing the term, and key technologies identified in the metaverse world. The findings identify the major types of technologies used in the metaverse studies and offers a sound theoretical foundation in terms of cognitive, social and teacher presence to understand what future potential of these technologies could bring to online learning. Five major types of technologies are identified which could map to four key elements of the metaverse (i.e., immersion, advanced computing, socialisation, decentralisation). At the end, a model is proposed to connect the key elements of the metaverse and its three presences in the community of inquiry that enhance students’ learning outcomes in the metaverse learning environment. Implications for practice or policy: Educators and researchers could rethink what types of technologies belong to the metaverse and how it has the potential to influence the education sector. Instructional designers could create meaningful learning experiences through the four key elements of the metaverse – immersion, advanced computing, socialisation and decentralisation. Policy-makers and educators could refer to the model of metaverse learning environment to guide their future policy and practices.

Publisher

Australasian Society for Computers in Learning in Tertiary Education

Subject

Education

Cited by 40 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3