THE ROLE OF AI TOOLS IN TEACHING ENGLISH LANGUAGE IN HIGHER EDUCATION

Аннотация

AI tools are transforming English language teaching in higher education by enabling personalized instruction, instant feedback, and adaptive learning. This paper looks at how artificial intelligence (AI) is used in English language teaching (ELT) by reviewing recent studies. It examines the benefits and challenges of tools like smart tutoring systems, automated grading software, and language processing applications. The review shows that while these tools can improve teaching quality and help students become more independent learners, their success depends on having the right technology, trained teachers, and teaching methods that support their use. The paper also gives suggestions on how to include AI in ELT courses and help universities prepare for future changes in technology. Key words: artificial intelligence, English language teaching, higher education, adaptive learning, intelligent tutoring systems, natural language processing. In recent years, Artificial Intelligence (AI) has become a disruptive force in global education. It is transforming not only administrative systems but also the way educators interact with students and deliver content. In the context of English Language Teaching (ELT) in higher education, AI is being increasingly integrated into digital learning environments, from automated grammar correction tools to intelligent tutoring systems and AI-powered chatbots. English is not only a global lingua franca but also a crucial academic and professional skill in many non-native English-speaking countries. Hence, ensuring effective English language acquisition at the university level is a pressing concern. With rising student populations and increasingly diverse learning needs, AI offers the potential to personalize instruction and scale up teaching effectiveness. This study aims to evaluate the role of AI tools in English language teaching in higher education by addressing the following questions: What types of AI tools are currently being used in ELT? What are the observed pedagogical benefits of these tools? What challenges or limitations affect their successful implementation? This research utilizes a qualitative literature review methodology. The scope of the review includes peer-reviewed journal articles, academic books, and recent industry reports published between 2010 and 2024, focusing specifically on the application of AI in language teaching and learning. Sources were selected based on relevance to higher education contexts, with a focus on empirical studies and conceptual discussions involving: Intelligent Tutoring Systems (ITS), Natural Language Processing (NLP) tools, Adaptive Learning platforms, Automated Assessment technologies, AI-based chatbots and virtual assistants. Data were extracted to identify themes, benefits, drawbacks, and case examples of AI tool use in English language instruction. Additionally, expert opinions from scholars in applied linguistics and educational technology were integrated to provide contextual depth. AI tools commonly used in English language teaching include: Grammarly, which uses machine learning and NLP to offer writing corrections; 93 Duolingo, an AI-powered mobile app that adapts language exercises based on learner performance; Write & Improve (developed by Cambridge English), offering automated essay scoring and feedback; AI chatbots for conversational practice (e.g., Replika, ChatGPT for language learners); Virtual classrooms with integrated AI tutors (e.g., Squirrel AI, Century Tech). The reviewed literature highlights the following advantages: Personalization: AI adjusts the difficulty level and content based on learner input and progress (Woolf 24). Efficiency: Automated assessments reduce grading workload and allow learners to receive immediate feedback (Shermis and Burstein 91). Engagement: Gamified platforms like Duolingo increase student motivation (Chen et al. 106). Accessibility: Speech-to-text and text- to-speech functions support students with different learning needs or disabilities (Huang and Johnson 47). Despite their promise, AI tools are not without shortcomings: Cultural Insensitivity: AI systems often lack the contextual awareness needed for nuanced language use (Selwyn 134). Bias and Fairness: Algorithms may reproduce or exacerbate linguistic or cultural biases (Brown 215). Digital Divide: Limited access to technology in some regions prevents equitable integration (Johnson and Smith 81). Teacher Preparedness: Many educators are unfamiliar with the pedagogical use of AI, limiting its classroom impact (Chen et al. 109). AI is redefining pedagogical strategies in English language instruction. By enabling individualized learning paths and real-time error correction, AI promotes learner autonomy and continuous engagement. In higher education, where student needs are diverse and complex, AI’s scalability is especially valuable. However, technology alone is not a solution—it must be accompanied by sound instructional design