IMPORTANCE OF TECHNOLOGY-ENHANCED ENGLISH LANGUAGE LEARNING AND ARTIFICIAL INTELLIGENCE INTEGRATION

Abstract
The rapid advancement of digital technologies and artificial intelligence (AI) has significantly transformed English language learning (ELL) environments. This paper explores the pedagogical value and practical applications of technology-enhanced language learning (TELL) combined with AI tools. It highlights the role of adaptive learning systems, intelligent tutoring, automated feedback, and natural language processing (NLP) in fostering learner autonomy, personalization, and engagement. The study draws upon recent research findings and classroom-based case studies to argue for a balanced, data-driven integration of AI in language teaching. It concludes that AI-augmented platforms, when guided by skilled educators, can accelerate English language acquisition, especially in remote and individualized learning contexts.
Keywords
English language learning, technology-enhanced learning, artificial intelligence, adaptive learning, NLP, language acquisition
References
- Beatty, K. (2013). Teaching & Researching Computer-Assisted Language Learning. Routledge.
- Wang, Y., & Vasquez, C. (2022). “The Effect of AI-Powered Writing Feedback on L2 Learners.” System, 107, 102793.
- Kukulska-Hulme, A. (2020). “Mobile-Assisted Language Learning and AI: Opportunities and Challenges.” ReCALL, 32(3), 310–328.
- Godwin-Jones, R. (2019). “Emerging Technologies: AI and Language Learning.” Language Learning & Technology, 23(3), 8–22.
- Duolingo Research Reports (2023). “Personalization in Language Learning through AI.”
- Grammarly AI Reports (2022). “NLP in Writing Instruction.”