L2 Vocabulary Learning Through Virtual Reality: Effects of Affective and Cognitive Variables

Immersive virtual reality (IVR) has shown positive effects on second language (L2) learning, yet the mechanisms underlying these effects remain unclear. Based on the Cognitive Affective Model of Immersive Learning (CAMIL), the present study used structural equation modeling to examine how affective (situational interest, intrinsic motivation, emotions) and cognitive variables (cognitive load, embodied learning, self-efficacy) contribute to receptive L2 vocabulary learning through IVR. A group of native Chinese speakers was asked to learn Korean words in an IVR environment. They were then administered a lexical recognition task that measured learning outcomes. The results revealed two sequences of associations through which IVR affected vocabulary recognition performance: a cognitive path that intersected with presence and self-efficacy; and an affective path that intersected with presence and emotions. Situational interest and intrinsic motivation also demonstrated a sequence of associations with receptive L2 vocabulary recognition. Although further independent confirmation is needed, these findings put forth theoretically meaningful patterns regarding the cognitive-affective mechanisms of IVR-based L2 learning.

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Publication Details

Journal
Behavioral Sciences
Published
2026-10-19
DOI
https://doi.org/10.3390/bs16101939
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
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article

L2 Vocabulary Learning Through Virtual Reality: Effects of Affective and Cognitive Variables

周官玉, John Wayne Schwieter, Lu Jiao, Hui Jiang
Behavioral Sciences
Virtual Reality Applications and Impacts
article

L2 Vocabulary Learning Through Virtual Reality: Effects of Affective and Cognitive Variables

周官玉, John Wayne Schwieter, Lu Jiao, Hui Jiang
article en

Abstract

Immersive virtual reality (IVR) has shown positive effects on second language (L2) learning, yet the mechanisms underlying these effects remain unclear. Based on the Cognitive Affective Model of Immersive Learning (CAMIL), the present study used structural equation modeling to examine how affective (situational interest, intrinsic motivation, emotions) and cognitive variables (cognitive load, embodied learning, self-efficacy) contribute to receptive L2 vocabulary learning through IVR. A group of native Chinese speakers was asked to learn Korean words in an IVR environment. They were then administered a lexical recognition task that measured learning outcomes. The results revealed two sequences of associations through which IVR affected vocabulary recognition performance: a cognitive path that intersected with presence and self-efficacy; and an affective path that intersected with presence and emotions. Situational interest and intrinsic motivation also demonstrated a sequence of associations with receptive L2 vocabulary recognition. Although further independent confirmation is needed, these findings put forth theoretically meaningful patterns regarding the cognitive-affective mechanisms of IVR-based L2 learning.

Behavioral SciencesVol. 16(10)
University College Dublin (IE), Qingdao University (CN), Qingdao University of Science and Technology (CN), Qingdao Center of Resource Chemistry and New Materials (CN), Wilfrid Laurier University (CA), McMaster University (CA)
Openalex Percentile: Top 8%
Virtual Reality Applications and Impacts
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L2 Vocabulary Learning Through Virtual Reality: Effects of Affective and Cognitive Variables — 周官玉, John Wayne Schwieter, et al. · Behavioral Sciences (2026) | TGRS Research Map | TGRS