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Meta‐analyses of anxiety, motivation, performance, satisfaction, and self‐efficacy in virtual reality‐assisted language education

Dados Bibliográficos

ID8937029
AutoresYu Zhonggen (0000-0002-3873-980X, Beijing Language and Culture University Beijing China, autor correspondente), Peng Duan (0000-0003-0511-5651, Beijing Language and Culture University Beijing China)
Ano2024
Volume57
Fascículo2
Páginas550-580
Data de publicação2024-01-22
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoForeign Language Annals (JOURNAL)
Identificadores do periódicoISSN: 0015-718X • E-ISSN: 1944-9720
EditoraWiley (PUBLISHER • GB)
DOI10.1111/flan.12748
OpenAlexW4391107760
IdiomaEN
Citações recebidas7
Referências citadas117

The popularity of virtual reality (VR) technologies has increased since the onset of the COVID‐19 pandemic. However, there is a paucity of meta‐analytic studies that have investigated the use of VR technologies in language education. This current study addresses this gap by conducting a systematic analysis of 41 randomized controlled studies conducted between 2008 and 2021, examining the effects of VR technologies on language educational outcomes. The findings indicate that VR technologies reduce anxiety levels while enhancing motivation, performance, satisfaction, and self‐efficacy in language learning when compared to traditional learning methods. These outcomes are observed regardless of whether learners engage with immersive or nonimmersive environments and whether they use head‐mounted displays or nonhead‐mounted displays. Future research can investigate the impact of VR on intercultural communicative competence and collaborative problem‐solving abilities

Anxiety · Competence (human resources · Human–computer interaction · Medical education · Popularity · Self-efficacy · Virtual reality · Applied Psychology · Communication in Education and Healthcare · Computer Science · Psychology · Social Psychology · Subtitles and Audiovisual Media · Virtual Reality Applications and Impacts

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Obras citantes distintas7
Citações por ano7
Intervalo de citações2025 - 2026 (2)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 7
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