Redefining Classroom Dynamics: AI Tools and the Future of English Language Pedagogy

Abstract

This study looks at the transformative impact of artificial intelligence (AI) on English language training, specifically how AI-powered tools and approaches improve both educational outcomes and teaching strategies. The major goal is to assess the impact of AI on language acquisition and develop personalised teaching strategies for instructors and learners. A mixed-methods strategy was used to achieve this goal. During the quantitative phase, students from various colleges were given questionnaires with Likert scales to judge the effectiveness of AI technology in instructional procedures. Additionally, semi-structured interviews were conducted with educators who have actively used AI tools in their practices, allowing for the identification of both advantages and emerging issues. The findings show significant gains in the efficiency of English language acquisition, particularly in grammar understanding and vocabulary enhancement, which can be attributed to the ability to tailor learning situations. However, there are still issues, such as not being able to access the data, teachers being unprepared, and concerns about data privacy and discrimination. This study presents a paradigm for incorporating AI into English Language Teaching (ELT), with an emphasis on access, teacher training, ethical norms, and blended learning approaches to maximise the benefits of AI. The study emphasises the importance of professional teacher training and ethical norms in improving AI’s effectiveness and sustainability in English Language Teaching (ELT). The methodology and review findings aim to enable educators, developers, and policymakers in creating an AI-enhanced learning environment that meets educational goals while resolving current limitations.