Abstract. The aim of the article is to explore the possibilities and challenges of integrating artificial intelligence (AI) into teaching English (TE). This aim provides for solving the following tasks of research: evaluating the effectiveness of AI in improving students’ learning outcomes, the potential for personalized learning, the automation of feedback, and the impact of AI on the role of the teacher; investigating the potential issues that arise in the context of AI integration, including data privacy concerns, access to technology, and the need for professional development.

Methodology. Achieving the goal and solving the tasks have been enhanced by using such methods of research as qualitative and quantitative analyses, case studies, survey research (the survey questions were designed to gather both quantitative data (such as the frequency of AI tool usage) and qualitative feedback (such as perceived effectiveness and ease of use), content analysis (reviewing learning platforms, mobile apps, and AI-powered language assistants to assess their educational content, usability, and effectiveness in fostering language skills), and comparative analysis.

Scientific novelty. It is reflected in its multi-dimensional approach to AI integration in teaching English, focusing on a specialized, non-traditional educational institution − the PAU. By exploring AI’s potential in such a unique context, the research offers new insights into how AI can be applied to meet the specific professional language needs of cadets preparing for careers in the penitentiary system. This study expands the body of knowledge regarding AI in education and provides a foundation for future research and practical implementation of AI tools in specialized educational settings.

Research results. The article examines the integration of artificial intelligence (AI) in education, specifically focusing on TE and its implications for academic integrity. It highlights AI tools’ transformative potential, such as intelligent tutoring systems, automated feedback mechanisms, and conversational agents in enhancing personalized learning, engagement, and skill development. The research provides insights into how AI supports language proficiency improvement while addressing challenges like ethical concerns, teacher training, and technical limitations. Using the PAU as a case study, the article explores the unique applications of AI in specialized educational settings, emphasizing the importance of ethical AI use and ongoing research.

Practical implications. Integrating artificial intelligence (AI) in TE opens new possibilities for personalized learning, automated feedback, and improving language skills. However, the research also emphasizes the importance of maintaining academic integrity, particularly in the context of potential misuse of AI tools. Using tools such as Grammarly, Duolingo, and ChatGPT significantly enhances grammar, vocabulary, pronunciation, and writing proficiency. Interactive platforms adapt to individual learners’ needs, providing a flexible and effective learning environment. AI complements, but does not replace, the role of the teacher. Educators remain crucial in motivating students, offering emotional support, and addressing complex issues beyond AI’s capabilities. Successful AI integration requires teacher training to use these technologies effectively. Technical difficulties, limited technological access, and AI’s inability to fully understand cultural context need attention. Ethical concerns, such as data privacy and preventing algorithmic biases, remain important issues.

Value (originality). The value of the study is characterized by the presentation of evaluating the effectiveness of AI in improving students’ learning outcomes, the potential for personalized learning of English, the automation of feedback, and the impact of AI on the role of the teacher; investigating the potential issues that arise in the context of AI integration, including data privacy concerns, access to technology, and the need for professional development for teachers.

Key words: AI in education, teaching English (TE), academic integrity, personalized learning, intelligent tutoring systems, automated feedback, ethical AI use.

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