The Evolution of English Language Teaching: How Artificial Intelligence is Reshaping Learning and Pedagogy

This study delves into the transformative impact of Artificial Intelligence (AI) on English Language Teaching (ELT), examining how AI-driven technologies redefine instructional methodologies, learner engagement, and pedagogical effectiveness. As AI continues to evolve, its applications in language education extend beyond mere automation, fostering adaptive, interactive, and data-informed learning experiences. This research aims to investigate how AI-powered tools facilitate language acquisition, personalize instruction, and enhance formative assessment, ultimately shaping the future of ELT. Employing a mixed-methods approach, this study integrates quantitative surveys and qualitative interviews conducted with English language educators and learners across diverse educational contexts. Findings reveal that AI enhances linguistic proficiency through real-time feedback, speech recognition, and intelligent tutoring systems that simulate natural conversational exchanges. Moreover, AI-driven analytics offer educators valuable insights into individual learner progress, allowing for differentiated instruction and targeted interventions. The research also highlights AI’s role in bridging learning gaps by providing inclusive and accessible educational opportunities for students with varying needs and proficiency levels. Despite these advancements, challenges persist, particularly concerning teacher preparedness, ethical considerations, and potential over-reliance on AI-driven solutions. The study underscores the necessity of professional development initiatives to equip educators with the skills required for effective AI integration. Additionally, it emphasizes the importance of maintaining a balanced synergy between AI innovations and human-centered teaching practices. By offering a nuanced perspective on AI’s role in ELT, this research contributes to ongoing discussions on the future of language education, advocating for responsible and strategic AI adoption in pedagogical frameworks.