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基于协作元宇宙的高等教育按需定制框架(CO-MATE)。

A Collaborative Metaverse based A-La-Carte Framework for Tertiary Education (CO-MATE).

作者信息

Joshi Swati, P J Pramod

机构信息

Centre for Development of Advanced Computing (C-DAC), Hyderabad, India.

出版信息

Heliyon. 2023 Feb 8;9(2):e13424. doi: 10.1016/j.heliyon.2023.e13424. eCollection 2023 Feb.


DOI:10.1016/j.heliyon.2023.e13424
PMID:36825184
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9941942/
Abstract

The paper aims to propose a futuristic educational and learning framework called CO-MATE (Collaborative Metaverse-based A-La-Carte Framework for Tertiary Education). The architectural framework of CO-MATE was conceptualized in a four-layered approach which depicts various infrastructure and service layer functionalities. CO-MATE is a technologically driven educational metaverse environment involving loosely coupled building blocks to provide an a-la-carte model for platform designers. For this, the authors had undertaken a systematic mapping study of the pre/post-COVID period to review the application of various emerging technologies. Further, the paper also discusses the core attributes and component offerings of CO-MATE for a technology-driven and automated immersive-learning environment and exemplifies the same through various use cases.

摘要

本文旨在提出一个面向未来的教育与学习框架,称为CO-MATE(基于协作元宇宙的高等教育点菜式框架)。CO-MATE的架构框架采用四层方法进行概念化设计,描述了各种基础设施和服务层功能。CO-MATE是一个技术驱动的教育元宇宙环境,由松散耦合的构建块组成,为平台设计师提供一种点菜式模型。为此,作者对新冠疫情前后的时期进行了系统的映射研究,以回顾各种新兴技术的应用。此外,本文还讨论了CO-MATE在技术驱动和自动化沉浸式学习环境中的核心属性和组件,并通过各种用例进行了举例说明。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/9941942/9e3f16886745/gr004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/9941942/7cf8dfc8de78/gr001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/9941942/d00e1d5be1d4/gr002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/9941942/39ad0e6a16fb/gr003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/9941942/9e3f16886745/gr004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/9941942/7cf8dfc8de78/gr001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/9941942/d00e1d5be1d4/gr002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/9941942/39ad0e6a16fb/gr003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/9941942/9e3f16886745/gr004.jpg

相似文献

[1]
A Collaborative Metaverse based A-La-Carte Framework for Tertiary Education (CO-MATE).

Heliyon. 2023-2-8

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引用本文的文献

[1]
Factors affecting metaverse adoption in education: A systematic review, adoption framework, and future research agenda.

Heliyon. 2024-3-26

本文引用的文献

[1]
The changes we need: Education post COVID-19.

J Educ Chang. 2021

[2]
Adoption, use and enhancement of virtual learning during COVID-19.

Educ Inf Technol (Dordr). 2022

[3]
Developing a Hybrid Four-Prong Approach to Anatomical Education During the COVID-19 Pandemic.

Med Sci Educ. 2021-5-18

[4]
Development of Gamified, Interactive, Low-Cost, Flexible Virtual Microbiology Labs That Promote Higher-Order Thinking during Pandemic Instruction.

J Microbiol Biol Educ. 2021-3-31

[5]
Cutting-Edge Microscopy Systems as Remote Teaching and Research Tools for Undergraduate Students.

J Microbiol Biol Educ. 2021-3-31

[6]
An Adaptive Blended Learning Approach in the Implementation of a Medical Neuroscience Laboratory Activities.

Med Sci Educ. 2021-4-8

[7]
COVID-19 and its impact on education, social life and mental health of students: A survey.

Child Youth Serv Rev. 2021-2

[8]
Digital technology adoption scale in the blended learning context in higher education: Development, validation and testing of a specific tool.

PLoS One. 2020-7-10

[9]
VisFlow - Web-based Visualization Framework for Tabular Data with a Subset Flow Model.

IEEE Trans Vis Comput Graph. 2017-1

[10]
VisMatchmaker: Cooperation of the User and the Computer in Centralized Matching Adjustment.

IEEE Trans Vis Comput Graph. 2017-1

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