The use of generative artificial intelligence for english language learning
DOI:
https://doi.org/10.22437/proca.v1i3.50595Keywords:
Artificial Intelligence, EFL, English Language Learning, Literature ReviewAbstract
The rapid evolution of Artificial Intelligence (AI) has profoundly impacted the field of English Language Learning (ELL). This literature review synthesizes recent empirical and theoretical studies to provide a comprehensive overview of the integration of AI tools such as chatbots, intelligent tutoring systems, and AI-powered language learning applications into ELL. The review identifies key applications across the four major language skills (speaking, writing, reading, and listening), highlighting AI's role in delivering personalized, adaptive, and immediate feedback-driven learning experiences. While the literature overwhelmingly supports AI's positive impact on learner engagement, motivation, and skill acquisition, it also foregrounds significant challenges. These include concerns regarding ethical issues, data privacy, the digital divide, potential over-reliance on technology, and the requisite for adequate teacher training. Finally, this article proposes directions for future research and pedagogical practice, emphasizing the necessity of a thoughtful, hybrid approach that maximizes the potential of AI while preserving the irreplaceable role of human educators.
Downloads
References
Ali, O., Murray, P. A., Momin, M., Dwivedi, Y. K., & Malik, T. (2024). The effects of artificial intelligence applications in educational settings: Challenges and strategies. Technological Forecasting and Social Change, 199, 123076. https://doi.org/https://doi.org/10.1016/j.techfore.2023.123076
Annamalai, N., Eltahir, M. E., Zyoud, S. H., Soundrarajan, D., Zakarneh, B., & Al Salhi, N. R. (2023). Exploring English language learning via Chabot: A case study from a self determination theory perspective. Computers and Education: Artificial Intelligence, 5(2023), 100–148. https://doi.org/https://doi.org/10.1016/j.caeai.2023.100148
Arif, T. Z. Z. Al, Kurniawan, D., Handayani, R., Hidayati, & Armiwati. (2024). EFL university students’ acceptance and readiness for e-learning: a structural equation modeling approach. The Electronic Journal of E-Learning, 22(1), 1–16. www.ejel.org
Arif, T. Z. Z. Al, Sulistiyo, U., & Wachyunni, S. (2024). EFL University Students’ Self-Directed Language Learning with ICT: A Structural Equation Modelling Approach. Hachetetepé. Revista Científica de Educación y Comunicación, 29, 1–21. https://doi.org/10.25267/hachetetepe.2024.i29.2205
Ayyoub, A., Khlaif, Z., Hamamra, B., Bensalem, E., Mitwally, M., Sanmugam, M., Fteiha, A., Joma, A., Bsharat, T. R. K., Eidah, B. A., & Khaldi, M. (2025). Drivers of Acceptance of Generative AI Through the Lens of the Extended Unified Theory of Acceptance and Use of Technology. Human Behavior and Emerging Technologies, 2025(1). https://doi.org/10.1155/hbe2/6265087
Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/https://doi.org/10.1016/j.caeai.2022.100118
Chung, J. Y., & Jeong, S. H. (2024). Exploring the perceptions of Chinese pre-service teachers on the integration of generative AI in English language teaching: Benefits, challenges, and educational implications. Online Journal of Communication and Media Technologies, 14(4). https://doi.org/10.30935/ojcmt/15266
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00392-8
Firat, M. (2023). How Chat GPT Can Transform Autodidactic Experiences and Open Education? [Anadolu University]. https://doi.org/10.31219/osf.io/9ge8m
Giray, L., Fabros, B., Villarama, J., Gumalin, D. L., & Saavedra, J. B. (2025). Acceptance of and Satisfaction with ChatGPT as Learning Tool in Higher Education Through the Technology Acceptance Model (TAM): A Case from the Philippines. Internet Reference Services Quarterly, 1–20. https://doi.org/10.1080/10875301.2025.2542212
Guettala, M., Bourekkache, S., Kazar, O., & Harous, S. (2024). Generative Artificial Intelligence in Education: Advancing Adaptive and Personalized Learning. Acta Informatica Pragensia, 13(3), 460–489. https://aip.vse.cz/artkey/aip-202403-0007.php
Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023). Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators. The International Journal of Management Education, 21(2), 100790. https://doi.org/https://doi.org/10.1016/j.ijme.2023.100790
Micheni, E., Machii, J., & Murumba, J. (2024). The Role of Artificial Intelligence in Education. Open Journal for Information Technology, 7(1), 43–54. https://doi.org/10.32591/coas.ojit.0701.04043m
Moorhouse, B. L., Wan, Y., Wu, C., Kohnke, L., Ho, T. Y., & Kwong, T. (2024). Developing language teachers’ professional generative AI competence: An intervention study in an initial language teacher education course. System, 125(2024), 103399. https://doi.org/https://doi.org/10.1016/j.system.2024.103399
Nagy, A. S., Tumiwa, J. R., Arie, F. V., & Erdey, L. (2024). An exploratory study of artificial intelligence adoption in higher education. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2024.2386892
Owan, V. J., Chukwu, C. O., Agama, V. U., Owan, T. J., Ogar, J. O., & Etorti, I. J. (2025). Acceptance and use of artificial intelligence for self-directed research learning among postgraduate students in Nigerian public universities. Discover Education, 4(1). https://doi.org/10.1007/s44217-025-00770-6
Rasul, T., Nair, S., Kalendra, D., Robin, M., Santini, F., Ladeira, W. J., Sun, M., Day, I., Rather, R. A., & Heathcote, L. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning & Teaching, 6(1), 5–11. https://doi.org/10.37074/jalt.2023.6.1.29
Tafazoli, D. (2024). Exploring the potential of generative AI in democratizing English language education. Computers and Education: Artificial Intelligence, 7(2024), 100275. https://doi.org/https://doi.org/10.1016/j.caeai.2024.100275
Wang, C., Du, Y., & Zou, B. (2025). Learners’ Acceptance and Use of Multimodal Artificial Intelligence (AI)-Generated Content in AI-Mediated Informal Digital Learning of English. International Journal of Applied Linguistics, n/a(n/a). https://doi.org/https://doi.org/10.1111/ijal.12827
Zaim, M., Arsyad, S., Waluyo, B., Ardi, H., Al Hafizh, Muhd., Zakiyah, M., Syafitri, W., Nusi, A., & Hardiah, M. (2024). AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory. Computers and Education: Artificial Intelligence, 7, 100335. https://doi.org/https://doi.org/10.1016/j.caeai.2024.100335
Zhai, C., & Wibowo, S. (2023). A systematic review on artificial intelligence dialogue systems for enhancing English as foreign language students’ interactional competence in the university. Computers and Education: Artificial Intelligence, 4, 100134. https://doi.org/https://doi.org/10.1016/j.caeai.2023.100134
Zhang, Y., & Cao, J. (2022). Design of English teaching system using Artificial Intelligence. Computers and Electrical Engineering, 102, 108115. https://doi.org/https://doi.org/10.1016/j.compeleceng.2022.108115
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Tubagus Zam Zam Al Arif, Dedy Kurniawan, Armiawati, Noprival, Duty Volya, S. Mayza Zahrafattuna Giyatri. G

This work is licensed under a Creative Commons Attribution 4.0 International License.
Published with license by LPPM Universitas Jambi. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0 International). This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.







