In the context of rapid global transformations in information technologies, artificial intelligence (AI) has emerged as a key driver of innovation across multiple sectors, including education. This paper examines the role of AI in English language learning, focusing on its transformative impact, associated challenges, and scientifically grounded solutions. The study highlights issues such as contextual misunderstanding, data quality limitations, reduced human interaction, ethical concerns, and technological constraints. In response, a set of methodological and technological solutions is proposed, including hybrid AI models, adaptive learning algorithms, and blended learning frameworks. The scientific novelty of the research lies in the development of an integrated approach that combines AI-driven personalization with pedagogical and ethical considerations to enhance learning effectiveness.

Artificial Intelligence, English Language Learning, Adaptive Learning, NLP, Educational Technologies, Blended Learning, Data Quality, AI Ethics

Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Pearson.

Luckin, R. (2018). Machine Learning and Human Intelligence. UCL Institute of Education Press.

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education. Center for Curriculum Redesign.

Chapelle, C. A. (2020). Technology and Second Language Acquisition. Wiley.

Floridi, L. et al. (2018). AI4People—An Ethical Framework for a Good AI Society.

OECD (2021). AI in Education: Challenges and Opportunities.

UNESCO (2023). Guidance on AI and Education Policy.