APPLICATION OF ARTIFICIAL INTELLIGENCE IN ENGLISH LANGUAGE TEACHING: OPPORTUNITIES AND CHALLENGES

Abstract

The application of artificial intelligence into English language teaching has transformed pedagogical methodologies, delivering personalized learning experiences and optimizing assessment processes. This study examines artificial intelligence-enabled tools such as intelligent tutoring systems, automated feedback mechanisms, and adaptive learning platforms, evaluating their opportunities and challenges in higher education. A theoretical research design was employed, incorporating a systematic literature review of peer-reviewed academic studies and institutional reports. Findings indicate that artificial intelligence contributes to a 25-30% reduction in grammatical errors and enhances assessment efficiency by up to 50%. However, several challenges persist, including data security concerns, digital competency of educators, and the potential overdependence on artificial intelligence technologies. A blended learning model combining artificial intelligence-driven instruction with traditional pedagogical approaches is recommended to maximize benefits while minimizing limitations. The study concludes that artificial intelligence has the potential to enhance language instruction quality, but its efficacy depends on ethical governance, professional development initiatives, and pedagogically coherent integration strategies. Future research should investigate the long-term cognitive and educational impacts of artificial intelligence on learner autonomy and intellectual development to ensure sustainable implementation in language education.