The development of speaking skills is a crucial component of English as a Second Language (ESL) learning, yet many learners face challenges such as limited opportunities for practice, lack of confidence, and insufficient feedback in traditional classrooms. With the rapid advancement of artificial intelligence, AI-powered language learning applications have emerged as innovative tools that can support language acquisition through interactive practice, instant feedback, and personalized learning experiences. This study investigates the effectiveness of AI-powered language learning applications in enhancing the speaking skills of ESL learners.

The research adopts a quantitative experimental design involving ESL learners at the undergraduate level. Participants are divided into experimental and control groups. The experimental group engages in speaking practice using AI-based language learning applications that provide speech recognition, pronunciation analysis, and conversational simulations, while the control group receives conventional classroom instruction. Pre-tests and post-tests are conducted to measure improvements in speaking proficiency, including pronunciation, fluency, vocabulary usage, and confidence in communication.

The findings are expected to demonstrate that the integration of AI-powered applications significantly improves learners’ speaking abilities by offering continuous practice opportunities and immediate corrective feedback. The study highlights the potential of AI-driven tools as effective supplementary resources in ESL classrooms. It also provides pedagogical implications for language teachers to incorporate innovative technological approaches in teaching speaking skills. Ultimately, the research contributes to the growing body of literature on technology-enhanced language learning and supports the integration of artificial intelligence in modern language education.