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Cited by 257

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Effectiveness of virtual reality game in foreign language vocabulary acquisition

Alfadil, Mohammed·2020·Computers & Education

Abstract

Abstract This study explored the influence of the virtual reality (VR) game House of Languages on the English as a Foreign Language (EFL) vocabulary acquisition of intermediate school students. A quasi-experimental design helped determine the impact of the VR intervention on the learning process over the traditional EFL vocabulary acquisition method. A nonrandom convenience sample of (n = 64) male students was divided into an experimental group and control group; each group contained (n = 32) students. The findings from this study of independent t-tests at the end of the experimental period indicated that students using the VR game House of Languages had greater achievement in vocabulary acquisition than those using the traditional method of vocabulary acquisition. This study seeks to create awareness among educators that the use of the new VR technology as an effective vocabulary acquisition method in the learning process could be engaged to improve vocabulary acquisition and go beyond previous methods to enhance the degree of achievement in classroom.

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Metadata

Authors
Alfadil, M.
Venue
Computers & Education
Publisher
Elsevier BV
Published
2020-08
Volume
153
Pages
103893
ISSN
0360-1315 (ISSN-L)
OpenAlex
W3015236864
Cited by
257
References
31
FWCI
45.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Effectiveness of virtual reality game in foreign language vocabulary acquisition. https://app.cochat.ai/papers/10.1016/j.compedu.2020.103893
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Alfadil, M. (2020). Effectiveness of virtual reality game in foreign language vocabulary acquisition. Computers & Education. https://doi.org/10.1016/j.compedu.2020.103893

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.