THE ROLE OF ARTIFICIAL INTELLIGENCE IN TEACHING ENGLISH
Keywords:
Artificial Intelligence, English Language Teaching, adaptive learning, natural language processing, automated assessment, personalized learning, educational technology, learner autonomy, digital tools, language acquisition.Abstract
This study explores the role of Artificial Intelligence (AI) in English Language Teaching (ELT), focusing on its impact on teaching practices, learning outcomes, and learner engagement. The research examines key AI applications, including adaptive learning systems, natural language processing tools, automated assessment, and conversational agents. Findings indicate that AI enhances personalized learning, provides immediate feedback, and supports the development of language skills in flexible and interactive environments. However, challenges such as data privacy concerns, unequal access to technology, and the need for teacher training remain significant. The study concludes that AI should be integrated thoughtfully as a complementary tool to traditional teaching, ensuring balanced, effective, and inclusive language education.
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Chen, X., Zou, D., Xie, H., & Cheng, G. (2022). Artificial intelligence in language education: A review of recent developments and future directions. Educational Technology & Society, 25(1), 1–15.
Fryer, L. K., & Carpenter, R. (2021). Bots as language learning partners: Students’ experiences and learning outcomes. Computer Assisted Language Learning, 34(5–6), 655–679.
Godwin-Jones, R. (2022). Emerging technologies: AI for language learning. Language Learning & Technology, 26(2), 1–15.
Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Kessler, G. (2023). AI in language teaching and learning: Opportunities and challenges. TESOL Quarterly, 57(2), 391–415.
Kohnke, L., & Moorhouse, B. L. (2023). Adopting AI in English language teaching: Teacher perspectives and practices. System, 117, 103102.
Li, J., & Zou, D. (2023). Natural language processing in language education: Applications and implications. ReCALL, 35(2), 230–247.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2022). Intelligence unleashed: An argument for AI in education. Pearson Education.
Tang, Y., Chen, P., & Wang, T. (2023). Automated assessment in second language learning: Current trends and future directions. Computers & Education: Artificial Intelligence, 4, 100115.
UNESCO. (2023). Guidance for generative AI in education and research. UNESCO Publishing.
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