The Changing Role of Language Teachers in the Age of AI: Facilitators or Obsolete Figures

Authors

  • Prince Fortunatus Worgu Department of Curriculum Studies, Ignatius Ajuru University of Education, Port Harcourt, Nigeria. Author

Keywords:

Artificial Intelligence, language education, educational technology, human–AI collaboration

Abstract

The fast development of artificial intelligence (AI) has greatly changed the educational landscape, especially in language education, where technologies driven by AI are changing teaching practices, learner engagement, and evaluation methods. The growing use of intelligent tutoring systems, automated writing evaluation tools, and generative AI platforms has sparked continuous discussion on the future role of language teachers. Some perspectives indicate that AI may make instructors obsolete by automating essential pedagogical responsibilities. This paper argues that AI alters and redefines the teacher’s job in fundamental ways. The paper critically investigates the impact of AI on teaching methods, learner autonomy, teacher identity and cognitive development drawing on recent empirical investigations (2023–2026). The results point to the benefits and challenges of AI integration such as greater personalisation, expanded accessibility, improved efficiency, as well as risks such as cognitive offloading, diminished human engagement, and superficial learning. The research finds that instructors are still necessary in AI-mediated contexts, not as knowledge transmitters but as facilitators, critical mediators and ethical guides. It proposes for a human–AI collaboration model that utilises the benefits of both technology and human knowledge to facilitate meaningful and sustainable language acquisition.

References

Chang, W.-L., & Sun, J. C.-Y. (2024). Evaluating artificial intelligence's impact on self-regulated language learning: A systematic review. System, 126, 103484. https://doi.org/10.1016/j.system.2024.103484

Chen, L., Chen, P., & Lin, Z. (2025). Artificial intelligence in education: A review. IEEE Access, 13, 1–18.

Haghi, S., Alpat, M. F., & Kamali, J. (2026, January). AI-mediated instruction and novice language teachers' identity: reinforcing and disrupting factors. In Frontiers in Education (Vol. 10, p. 1722903). Frontiers.

Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2023). Intelligence unleashed: An argument for AI in education. Pearson.

Mohebbi, A. (2024). Enabling learner independence and self-regulation in language education using AI tools: A systematic review. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2024.2308510

Rusdin, D., Mukminatien, N., Suryati, N., & Laksmi, E. D. (2024). Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations. Cogent Education, 11(1). DOI:10.1080/2331186X.2023.2290342

UNESCO. (2024). Guidance for generative AI in education and research. UNESCO Publishing.

Walter, Y. (2024). Embracing the future of artificial intelligence in the classroom: AI literacy and critical thinking. International Journal of Educational Technology in Higher Education, 21(1), 15. https://doi.org/10.1186/s41239-024-00448-3

Zhang, X., et al. (2025). Generative AI and critical thinking in EFL education: A systematic review. Smart Learning Environments, 12(1), 8.

Zheng, L., & Yang, Y. (2024). Research perspectives and trends in AI-enhanced language education. Heliyon, 10(2), e23456. https://doi.org/10.1016/j.heliyon.2024.e23456

Downloads

Published

2026-06-30