Innovation in Language Learning

This study investigates the impact of Artificial Intelligence (AI) tools on the speaking fluency of English as a Foreign Language (EFL) students, with a specific focus on the mediating role of emotional factors such as language anxiety, motivation, and self-confidence. As AI-powered applications—such as virtual tutors, speech analysis software, and conversational agents—are increasingly embedded in language learning environments, they offer personalized and interactive speaking experiences that go beyond the capabilities of traditional instruction. Adopting a mixed-method approach, this research combines quantitative data obtained from structured student questionnaires with qualitative insights derived from semi-structured interviews and performance-based evaluations. Preliminary findings suggest that AI tools significantly enhance speaking fluency, particularly when they help reduce students’ anxiety and boost their motivation and confidence levels. Emotional variables serve as critical mediators that influence the degree to which AI tools improve language fluency. The study concludes with pedagogical recommendations advocating the intentional integration of AI technologies in language classrooms, along with teacher training programs designed to promote emotionally supportive learning environments that align technological innovation with student well-being.

Keywords: artificial intelligence, speaking fluency, EFL, language anxiety, motivation, emotional factors

REFERENCES

[1] Dewaele, J. M., & MacIntyre, P. D. (2016). Foreign language enjoyment and foreign language classroom anxiety: The right and left feet of FL learning? In Positive psychology in SLA (pp. 215-236). Multilingual Matters.

[2] Godwin-Jones, R. (2019). Artificial intelligence in language learning. Language Learning & Technology, 23(1), 3–