The Integration of AI in English language learning: Advancing Higher Education Practices

Abstract

The integration of Artificial Intelligence (AI) in English Language Teaching (ELT) has emerged as a transformative force in higher education, offering innovative tools such as intelligent tutoring systems, chatbots, and adaptive learning platforms. These technologies enable personalized learning experiences, real-time feedback, and enhanced student engagement, addressing the diverse needs of learners in higher education settings. AI applications, including speech recognition and natural language processing, have proven effective in improving language proficiency, grammar, and pronunciation, while also automating administrative tasks like grading and assessment. However, the adoption of AI in ELT is not without challenges. Ethical concerns such as data privacy, algorithmic bias, and the potential reduction of human interaction in the classroom pose significant hurdles. Additionally, the effectiveness of AI tools depends on the quality of data and the availability of technological infrastructure, which may vary across institutions. This review explores the impact of AI on ELT, highlighting its benefits in fostering personalized learning and improving teaching efficiency, while also addressing the ethical, technical, and pedagogical challenges associated with its implementation. Recommendations are provided for overcoming these challenges, including the need for teacher training, inclusive AI design, and robust data governance policies. By addressing these issues, higher education institutions can harness the potential of AI to enhance language learning outcomes and prepare students for a digitally connected world.