A Systematic Review of Generative Artificial Intelligence-based Tools to Improve Oral Skills in English as a Foreign Language
Submitted: 05/13/2025
|Accepted: 10/12/2025
|Published: 12/26/2025
Copyright (c) 2025 Lola López Molines

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Downloads
Keywords:
Generative Artificial Intelligence, communicative competence, English as a Foreign Language, oral skills
Supporting agencies:
Abstract:
The emergence of artificial intelligence (AI) and chatbots has completely revolutionised language teaching practices. The power AI holds in EFL language instruction is evident: supporting students through material creation, providing continuous feedback, and facilitating tailored learning pathways, offering greater autonomy, creativity, and confidence. Through scaffolding, student-centred strategies, and inquiry-based approaches, AI facilitates and ensures an inclusive, adapted educational experience for all students, regardless of their levels, needs, or interests (Dennis, 2024; Lee et al., 2024; Mai & Carson-Berndsen, 2024; Sayed et al., 2024).
Chatbots play a vital and multifaceted role in the development of EFL oral skills, enabling tailored and targeted instruction in pronunciation, vocabulary, grammar, and other communicative aspects essential for successfully navigating real-life communicative situations (Fathi et al., 2024; Tai & Chen; 2024). They provide instant feedback, continuous accessibility and personalised learning strategies, contributing not only to enhanced language accuracy but also to fostering learners' confidence, motivation, and autonomy in communicative situations, helping students address and overcome specific linguistic challenges (Zou et al., 2024). Nonetheless, despite their potential, AI tools also present various challenges and complexities that must be considered to ensure their effective use, such as a lack of context, coherence, or meaningful interaction (Shikun et al., 2024). Thus, this paper presents a systematic review of 14 relevant studies from the Web of Science (WOS) and Scopus databases, focusing on AI and EFL oral skills. It examines the impact of AI chatbots on the oral skill acquisition process, identifying key areas for further exploration. Consequently, the following study aims to contribute to current research in the field by exploring the multiple possibilities of these advanced tools, enhancing ELT practices and providing learners with a more holistic and higher-quality education.
References:
Al Ghaithi, A., Behforouz, B., & Isyaku, H. (2024). The effect of using WhatsApp bot on English vocabulary learning. Turkish Online Journal of Distance Education, 25(2), 208-227. https://doi.org/10.17718/tojde.1297285
Cooray, S., Hettiarachchi, C., Nanayakkara, V., Matthies, D. J. C., Samaradivakara, Y., & Nanayakkara, S. (2024). Kavy: Fostering language speaking skills and self-confidence through conversational AI. In Proceedings of the Augmented Humans International Conference 2024 (pp. 226–236). Association for Computing Machinery. https://doi.org/10.1145/3652920.3652944
Creswell, J. W., & Creswell, J. D. (2003). Research design: Qualitative, quantitative, and mixed methods approaches (2nd ed.). SAGE Publications.
Dandu, G., Charyulu, G. M., & Kumari, K. S. N. V. L. L. (2024). AI-driven language learning: The impact of Rosetta Stone on ESL students' speaking proficiency and self-control. Rupkatha Journal on Interdisciplinary Studies in Humanities, 16(4), 2. https://doi.org/10.21659/rupkatha.v16n4.09
Dennis, N. K. (2024). Using AI-Powered Speech Recognition Technology to Improve English Pronunciation and Speaking Skills. IAFOR Journal of Education, 12(2). https://doi.org/10.22492/ije.12.2.05
Dörnyei, Z. (2007). Research methods in applied linguistics: Quantitative, qualitative, and mixed methodologies. Oxford University Press.
Fathi, J., Rahimi, M., & Derakhshan, A. (2024). Improving EFL learners' speaking skills and willingness to communicate via artificial intelligence-mediated interactions. System, 121, 103254. https://doi.org/10.1016/j.system.2024.103254
Lee, J. H., Shin, D., & Hwang, Y. (2024). Investigating the capabilities of large language model-based task-oriented dialogue chatbots from a learner's perspective. System, 127, 103538. https://doi.org/10.1016/j.system.2024.103538
Mai, L., & Carson-Berndsen, J. (2024). Enhancing conversation smoothness in language learning chatbots: An evaluation of GPT-4 for ASR error correction In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (pp. 11001–11005). IEEE. https://doi.org/10.1109/ICASSP48485.2024.10447641
Page M. J., McKenzie J. E., Bossuyt P. M., Boutron I., Hoffmann T. C., Mulrow C. D. et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews, BMJ 2021, 372, 71. https://doi.org/10.1136/bmj.n71
Shafiee Rad, H. (2024). Revolutionizing L2 speaking proficiency, willingness to communicate, and perceptions through artificial intelligence: a case of Speeko application. Innovation in Language Learning and Teaching, 18(4), 364–379. https://doi.org/10.1080/17501229.2024.2309539
Sayed, B. T., Bani Younes, Z. B., Alkhayyat, A., Adhamova, I., & Teferi, H. (2024). To be with artificial intelligence in oral test or not to be: a probe into the traces of success in speaking skill, psychological well-being, autonomy, and academic buoyancy. Language Testing in Asia, 14(1), 49. https://doi.org/10.1186/s40468-024-00321-0
Shikun, S., Grigoryan, G., Huichun, N., & Harutyunyan, H. (2024). AI chatbots: Developing English language proficiency in EFL classroom. Arab World English Journal (AWEJ), Special Issue on ChatGPT, April 2024. SSRN. https://ssrn.com/abstract=4814753 , https://doi.org/10.24093/awej/ChatGPT.20
Tai, T.-Y., & Chen, H. H.-J. (2024). Improving elementary EFL speaking skills with generative AI chatbots: Exploring individual and paired interactions. Computers & Education, 220, 1–14. https://doi.org/10.1016/j.compedu.2024.105112
Wan, Y., & Moorhouse, B. L. (2024). Using Call Annie as a Generative Artificial Intelligence Speaking Partner for Language Learners. RELC Journal, 56(2). https://doi.org/10.1177/00336882231224813
Yang, Y.-T., & Chang, C.-Y. (2024). Implementing an AI-driven system and a LINE bot to enhance EFL university students’ oral skills. In Proceedings of the 2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) (pp. 481–482). IEEE. https://doi.org/10.1109/ICCE-Taiwan62264.2024.10674049
Zou, B., Liviero, S., Ma, Q., Zhang, W. L., Du, Y. R., & Xing, P. L. (2024). Exploring EFL learners' perceived promise and limitations of using an artificial intelligence speech evaluation system for speaking practice. System, 126, 103497. https://doi.org/10.1016/j.system.2024.103497


