Optimizing Foreign Language Learning in Virtual Reality: A Comprehensive Theoretical Framework Based on Constructivism and Cognitive Load Theory (VR-CCL)
Source abstract
Abstract
With the widespread application of virtual reality (VR) in education, optimizing foreign language learning in VR has become a focal point of research. This paper introduces a comprehensive theoretical framework (VR-CCL) based on constructivism and cognitive load theory to enhance foreign language learning in VR. Through a literature review, we explore the applications of VR in education, foreign language learning theories, and prior works on technology-assisted language learning. We further detail the three main components of the VR-CCL framework and validate its effectiveness through two case studies: Duolingo VR and Rosetta Stone VR. Finally, we discuss the strengths and limitations of the framework and its implications for educators and developers.
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Research context
OpenAlex topics: Virtual Reality Applications and Impacts · Visual and Cognitive Learning Processes · Robotics and Automated Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Shaanxi Institute of Technology, Xi’an 710300, China
School of Software, Kunsan National University, Gunsan 54150, Republic of Korea
Department of Digital Contents Engineering, Wonkwang University, Iksan 54538, Republic of Korea
Funding
Kunsan National University
References (47)
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