The Future of English Language Teaching: Investigating AI-Enhanced Personalisation in Digital Learning Contexts

P. Jibin Jose (), Amutha Dhanaraj and Pranav Prakash
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P. Jibin Jose: Karunya Institute of Technology and Sciences, Division of English
Amutha Dhanaraj: Karunya Institute of Technology and Sciences, Division of English
Pranav Prakash: Karunya Institute of Technology and Sciences, Division of Criminology and Forensic Sciences

A chapter in Technological Innovations for Sustainable Development, 2025, pp 350-365 from Springer

Abstract: Abstract Artificial Intelligence (AI) in English Language Teaching (ELT) has transformed personalised learning by providing adaptable and tailored experiences to individual learners’ requirements. By analysing student performance and preferences, AI-driven personalisation increases engagement, allows for real-time feedback, and optimises curriculum design. This study investigates the transformational role of AI in digital learning settings, focussing on major applications such as intelligent tutoring systems, chatbots, voice recognition tools, and adaptive learning platforms. While AI improves accessibility and efficiency in ELT, difficulties like data protection, teacher preparedness, and equal access to technology remain. This paper examines the benefits and limits of AI-driven personalisation, giving insights into its developing role in ELT. The study also explores future paths for AI integration, emphasising the need for ethical frameworks, teacher training, and hybrid learning models to fully realise its capabilities in educating languages.

Keywords: Artificial intelligence; English language teaching; Digital learning; Technology; Personalised learning (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-06725-8_30

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DOI: 10.1007/978-3-032-06725-8_30

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