Sep 2026· Humanities and Social Sciences Communications· 0 citations
TL;DR
Overall, the results suggest that AI chatbots can meaningfully reduce FLSA and bolster positive emotional engagement, consistent with Positive Psychology perspectives.
Abstract
Although recent studies have demonstrated the potential of AI chatbots in reducing foreign language speaking anxiety (FLSA) and enhancing positive emotions, significant gaps remain in the literature. Most previous research has examined anxiety, enjoyment, and engagement in isolation, with few studies investigating their dynamic interplay within a single intervention. Moreover, speaking, the skill most susceptible to anxiety, has received comparatively less attention in AI intervention research compared to writing. To address these gaps, this quasi-experimental study compares AI-assisted and teacher-led English speaking practice in their effects on Chinese EFL learners’ foreign language speaking anxiety (FLSA), foreign language enjoyment (FLE), and L2 engagement. Seventy-one first-year undergraduates from two intact classes were nonrandomly allocated to an EG (
n
= 36; AI chatbot practice) or a control group (
n
= 35; teacher-led practice) and followed the same 12-week syllabus. The EG practiced speaking with an AI chatbot, whereas the control group completed parallel activities under teacher guidance. Pretest–posttest surveys assessed FLSA, FLE, and engagement. One-way ANCOVAs that controlled for baseline scores showed a significant reduction in posttest speaking anxiety for the AI group relative to the control. Both groups reported gains in FLE and engagement; however, between-group differences on these two outcomes were not statistically significant. Within-group analyses indicated a significant decline in anxiety and substantial improvements in FLE and engagement for the AI group, while the control group showed only modest gains in engagement. Overall, the results suggest that AI chatbots can meaningfully reduce FLSA and bolster positive emotional engagement, consistent with Positive Psychology perspectives. Pedagogically, integrating AI tools into speaking curricula may help create a low-pressure, interactive environment that balances anxiety reduction with enjoyment-enhancing strategies, thereby fostering more resilient and engaged EFL learners.
The findings support the pedagogical value of AI-mediated speaking practice in higher education and explore participants’ perceptions of the learning experience.
Nu Thuy Uyen Nguyen· International Journal of Lan...· 0 citations
Speaking is one of the most demanding dimensions of English as a Foreign Language (EFL) learning, yet opportunities for sustained oral production in secondary classrooms are frequently limited by instructional time, class size, and learners' speaking anxiety. To address these challenges, this study investigated the eff...
Janeth Nataly Ayala Ormaza· Dominio de las Ciencias· 0 citations
Artificial intelligence (AI)-assisted technologies are increasingly used in language education to provide individualized practice and feedback. However, limited research has examined how AI-assisted tools support young English as a Foreign Language (EFL) learners’ speaking practice and self-learning capacity, particula...
Kuan Hung, Ruei-Teng Hung, K. Chen· Technology in Language Teach...· 0 citations
This study examines the effects of AI-facilitated dialogic practice with ChatGPT on the speaking proficiency of pre-service English teachers at the Atyrau University, Kazakhstan. Given the increasing integration of artificial intelligence (AI) in education and the national emphasis on digital transformation, the resear...
Z. Zhumatayeva, Zh. M. Mametkarim, A. Dossanova et al.· 3i: intellect, idea, innovat...· 0 citations
It is suggested that integrating AICT as an interactive tool within a TBLT framework can help create a supportive, low-anxiety speaking environment, potentially offering a practical pathway associated with the support of oral English teaching in resource-limited primary school contexts in China.
Z.-Q. Xin, Siti Nazleen Abdul Rabu· International Journal of Inf...· 0 citations
It is concluded that while AI shows promise in alleviating oral anxiety, its effectiveness depends on learner characteristics and pedagogical context; future research should adopt learner-centered designs to address these gaps.
Shuo-Yao Gao· SHS Web of Conferences· 0 citations
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