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VOL. 8, ISSUE 1 (2026)
Leveraging AI-Powered chatbots to mitigate foreign language speaking anxiety among Non-English majors at Thai Nguyen University of Technology
Authors
Nguyen Thi Phuong Thao
Abstract
Foreign Language Speaking Anxiety (FLSA) is a
pervasive challenge for non-English major students in technical disciplines,
where the pedagogical focus often emphasizes technical precision over
communicative fluency. At Thai Nguyen University of Technology (TNUT), this
phenomenon is particularly acute among engineering students who fear social
judgment and professional ego damage. This study investigates the impact of
AI-powered chatbots, specifically ChatGPT and ELSA Speak, as interventions to
mitigate FLSA. Using a mixed-methods approach with 120 participants over a
six-week period, the research measured anxiety fluctuations through a modified
Foreign Language Classroom Anxiety Scale (FLSAS) with a high reliability
coefficient (Cronbach’s $\alpha = 0.88$). Quantitative results indicated a
statistically significant reduction in communication apprehension ($p <
0.05$) and a dramatic decrease in the fear of negative evaluation ($p <
0.01$, Cohen’s $d = 0.85$). Qualitative data from semi-structured interviews highlighted
the "safe zone" provided by AI, which allows for iterative practice
without social consequences. The paper argues for a strategic integration of
AI-assisted language learning (AIALL) into the English for Specific Purposes
(ESP) curriculum at TNUT to foster a more resilient and confident generation of
global engineers.
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Pages:48-50
How to cite this article:
Nguyen Thi Phuong Thao "Leveraging AI-Powered chatbots to mitigate foreign language speaking anxiety among Non-English majors at Thai Nguyen University of Technology". International Journal of Educational Research and Development, Vol 8, Issue 1, 2026, Pages 48-50
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