Enhancing EFL Learners’ Speaking Skills through AI-Powered Tools: A Quantitative Approach

Abstract

AI-powered tools refer to technology-enhanced applications that utilize artificial intelligence to improve language learning through, real-time, and personalized support. Although tools such as ChatGPT, Elsa Speak, Duolingo, and Natural Reader are increasingly integrated into global education systems, their use remains underexplored in EFL contexts across the Kurdistan Region, where traditional teacher-centered approaches still dominate and often limit students’ speaking opportunities, engagement, and confidence. This study investigates the role of AI applications in enhancing English-speaking skills among Kurdish EFL university students. It follows a quantitative approach through a closed-ended, five-point Likert sale questionnaire administered to 200 fourth-year English language students from three colleges at Salahaddin University-Erbil during the 2024-2025 academic year. The tool’s reliability was confirmed with a Cronbach’s alpha of 0.83, and data were analyzed using SPSS (version30). Findings reveal that AI tools significantly aid learners in improving pronunciation, fluency, and self-confidence through real-time feedback and simulated conversation. Students found these tools effective in overcoming anxiety and boosting motivation, especially in contexts with limited natural interaction. Nonetheless, participants noted challenges, including limited digital access, lack of curricular integration, and inadequate student training. Additionally, the use of technology was found to increase student motivation and engagement during lessons, contributing to a more interactive and focused classroom environment. The study concludes that AI integration can bridge the gap between theoretical understanding and practical speaking ability, creating a more dynamic and student-centered learning experience.