Artificial Intelligence – scary paradigm shift or opportunity to evolve?




AI, artificial intelligence, large language models, natural language processing, language learning, educational technology, future of language learning


This feature article sets out to offer some ideas and provoke discussion on the future of Artificial Intelligence Large Language Models in language education. The brief I was given is simple, to draw on my own observation, understanding and experience to set out a positive take on the development of AI Large Language Models in the education sector. So, caveat lector, this is not written from a neutral perspective, all opinions are my own unless stated otherwise.
I’ve set out to offer a brief survey of the major opportunities AI presents for language learners and teachers. These include an expansion in capacity and types of practice, support for the study environment and the roles of student and teacher. I set out a vision of a disruptive but ultimately beneficial impact on major aspects of language learning such as assessment and access to instruction. I have concluded by reflecting on the continuity and future possibilities of deep and ubiquitous AI augmentation of human language use.

Author Biography

  • Seán Timon, University of Oxford

    Seán Timon has been teaching English since 2007 in Nepal, Romania, South Korea & the UK. He is passionate about teaching with impact and has led successful projects of change in a wide variety of educational contexts. In addition to teaching at primary, secondary and university level, he is currently reading Applied Linguistics at Kellogg College, University of Oxford. His research interests include language acquisition, sociolinguistics and educational technology.


Beijing Consensus on Artificial Intelligence and Education, (2021).

Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138, p.107468.

Fine, A. and Kanter, B. (2022). Using Technology to Make Work More Human. Harvard Business Review.

Luckin, R., Holmes, W., Griffiths, M. and Laurie B Forcier Pearson (2016). Intelligence Unleashed An argument for AI in Education. (n.d.). TPACK.ORG.

‌World Economic Forum. (2023). ChatGPT and cheating: 5 ways to change how students are graded.







How to Cite

Timon, S. (2023). Artificial Intelligence – scary paradigm shift or opportunity to evolve?. Journal of Language Teaching, 3(9), 1-6.

Similar Articles

1-10 of 59

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)

1 2 3 4 5 6 7 > >>