Abstract

This article delves into the dynamic field of integrating Artificial Intelligence (AI) into English Language Teaching (ELT), a burgeoning area of research with profound implications for educators and learners alike. It aims to unfold the complex interplay between innovative AI tools and traditional teaching methodologies, examining how the former can enhance language learning outcomes and personalize education. The article begins by evaluating the effectiveness of AI in language learning, exploring its role in areas such as vocabulary acquisition, grammar correction, and pronunciation. It highlights how AI’s adaptability and personalized learning paths can significantly benefit students with varied learning styles and needs. The discussion then shifts to the implementation challenges of AI in educational settings, including the need for robust infrastructure, teacher training, and the alignment of AI tools with curricular goals. A critical examination of the ethical and privacy implications of using AI in education follows, addressing concerns over data security, consent, and the potential for bias. The article also tackles the issue of cultural and linguistic inclusivity, stressing the need for AI tools to represent and accommodate the diverse linguistic landscape of global learners. Furthermore, it discusses the delicate balance between leveraging technology and retaining the essential human elements of teaching, suggesting ways to integrate AI tools without diminishing the role of traditional, interactive pedagogies. The article concludes by emphasizing the need for ongoing research and development to address the unresolved challenges and harness the full potential of AI in ELT. Through a comprehensive analysis and synthesis of current research, the article provides valuable insights for educators, policymakers, and developers looking to navigate the promising yet complex terrain of AI in language education.

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