AI as a Teaching Assistant: Enhancing Personalized Learning in English Language Teaching (ELT)

Abstract: In recent years, Artificial Intelligence (AI) has emerged as a transformative force in education, offering new pathways for innovation in teaching and learning. In the field of English Language Teaching (ELT), the integration of AI as a teaching assistant has opened up significant opportunities for personalization, efficiency, and learner autonomy. Personalized learning — an instructional approach tailored to the individual needs, abilities, and learning styles of students — is increasingly recognized as essential for effective language acquisition. However, traditional classroom environments often struggle to provide such individualized attention due to time constraints, large class sizes, and curriculum standardization. AI technologies such as adaptive learning platforms, conversational agents, automated writing evaluation tools, and speech recognition software can help bridge this gap. These tools are capable of offering real-time feedback, tracking learner progress, and adjusting instructional content dynamically to meet the learner’s evolving needs. This paper examines the current landscape of AI integration in ELT, with a particular focus on how AI tools function as virtual teaching assistants that enhance personalized learning. It explores the benefits of AI in fostering student engagement, providing immediate and context-sensitive feedback, and supporting differentiated instruction. At the same time, it critically engages with concerns such as ethical implications, data privacy, access inequality, and the shifting role of educators. Ultimately, the study argues that while AI cannot replace the human teacher, it serves as a powerful ally in delivering more effective, personalized, and engaging English language education. Keywords: AI, ELT, Adaptive Learning, Education