AI-Enhanced Learning Approaches in English Language Teaching: A Review of Opportunities and Challenges

Abstract Artificial Intelligence (AI) has emerged as a transformative force in English Language Teaching (ELT), offering personalized and adaptive learning experiences. Research indicates that AI-driven platforms enhance individualized instruction by tailoring content to learners' proficiency levels and styles. AI chatbots provide interactive conversational practice with real-time feedback, while AI-powered assessment tools streamline evaluation processes, reducing teacher workload and ensuring objective grading. However, studies also highlight significant challenges, including AI's limitations in understanding idiomatic expressions, dialectal variations, and cultural nuances. Furthermore, while AI can complement traditional teaching methods, it cannot replace educators' essential roles in fostering critical thinking and creativity. Teacher training remains crucial, as many instructors lack the necessary skills to effectively integrate AI into pedagogical practices. This review underscores both the opportunities and challenges of AI in ELT, emphasizing the need for balanced and informed implementation to maximize its benefits in language education. Keywords: Artificial Intelligence (AI), English Language Teaching (ELT), personalized learning, Adaptive learning, AI-driven platforms, Individualized instruction, AI chatbots, Conversational practice, Realtime feedback, AI-powered assessment, Objective grading, Pedagogical integration, Dialectal variations.