Research Based on Affective Filter Theory: Is Social VR an Effective Tool for Learning a Second Language?

Yeonhee Cho, Hao Ning Hsu, Zhewen Zheng, Emily Elizabeth Trinh, HyunYoung Jang, Yusi Cheng

2022 8th International Conference of the Immersive Learning Research Network (iLRN)(2022)

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摘要
This study examines the affective filter theory in a social virtual reality (social VR) setting. Motivation, anxiety, and self-confidence were measured and compared in social VR and video conferencing. The research was conducted using mixed methods with qualitative and quantitative data. One-hour Korean language learning workshops were held to establish a teaching environment for this research. The research results indicated no significant differences in motivation, anxiety, or self-confidence between social VR and video conferencing as a learning tool. However, the debriefing interview following the workshop enabled us to develop a deeper understanding of participants’ motives to practice second language learning by leveraging social VR. Also, the interview data explained the strengths and weaknesses of using social VR as a learning tool, making our study meaningful in alternative language learning environments. This feasibility study revealed the potential of using social VR as a learning tool.
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关键词
virtual reality,anxiety,avatar,second language learning,affective filter theory
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