How to Design Immersive Virtual Learning Environments Based on Real-World Processes for the Edu-Metaverse—A Design Process Framework

IF 2.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Malte Rolf Teichmann
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引用次数: 0

Abstract

Due to the rise of virtual reality and the—at least now—hypothetical construct of the Metaverse, learning processes are increasingly transferred to immersive virtual learning environments. While the literature provides few design guidelines, most papers miss an application and evaluation description of the design and development processes. As a result, few standardized design processes and related design frameworks exist that meaningfully integrate existing stand-alone design theories and resulting approaches for developing immersive virtual learning environments. The article tackles this challenge with a research procedure based on the design science research method to outline and communicate a Design process framework to create virtual learning environments based on real-world processes for the Edu-Metaverse. The simply applicable artifact represents a comprehensive five-step solution to a well-defined problem by combining interdisciplinary perspectives. It contributes to the concretization of the hypothetical term Metaverse in its intended domain. As a result, practitioners and researchers with different experience levels can use the low-threshold framework.
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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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