Optimizing Foreign Language Learning in Virtual Reality: A Comprehensive Theoretical Framework Based on Constructivism and Cognitive Load Theory (VR-CCL)

Author:

Song Chuanxiang1ORCID,Shin Seong-Yoon2ORCID,Shin Kwang-Seong3ORCID

Affiliation:

1. Shaanxi Institute of Technology, Xi’an 710300, China

2. School of Software, Kunsan National University, Gunsan 54150, Republic of Korea

3. Department of Digital Contents Engineering, Wonkwang University, Iksan 54538, Republic of Korea

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.

Funder

Kunsan National University

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference47 articles.

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