Effective Use of Artificial Intelligence Technologies in Developing English Oral Speech
Keywords:
Artificial intelligence, English language learning, oral speech, language technologies, speaking skills, education, digital learningAbstract
The rapid development of artificial intelligence (AI) technologies has significantly transformed educational systems across the world, especially in language learning. English oral communication skills are considered one of the most important competencies in language acquisition. However, many learners experience difficulties in speaking fluently due to lack of confidence, limited vocabulary, pronunciation problems, and insufficient practice opportunities. This article explores the effective use of artificial intelligence technologies in developing English oral speech. The study highlights the role of AI-powered applications, speech recognition systems, chatbots, virtual tutors, and personalized learning environments in improving learners’ speaking competence. Moreover, the paper discusses the advantages, challenges, and pedagogical implications of integrating AI technologies into English language teaching. The findings indicate that artificial intelligence provides flexible, interactive, and learner-centered opportunities that significantly contribute to the development of oral communication skills.
References
. H. D. Brown, Teaching by Principles: An Interactive Approach to Language Pedagogy. New York, NY, USA: Pearson Education, 2001.
. J. C. Richards and T. S. Rodgers, Approaches and Methods in Language Teaching. Cambridge, UK: Cambridge University Press, 2014.
. J. Harmer, The Practice of English Language Teaching. Essex, UK: Pearson Longman, 2007.
. R. Luckin, Machine Learning and Human Intelligence. London, UK: UCL Institute of Education Press, 2018.
. W. Holmes, M. Bialik, and C. Fadel, Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston, MA, USA: Center for Curriculum Redesign, 2019.
. M. Warschauer, Technology and Social Inclusion: Rethinking the Digital Divide. Cambridge, MA, USA: MIT Press, 2003.
. UNESCO, "UNESCO reports on artificial intelligence in education," UNESCO, Paris, France, Tech. Rep., 2019.
. Y. Ma, X. J. Tang, and X. Huang, "AI-powered adaptive English language learning systems: Leveraging deep learning algorithms and natural language processing for personalized teaching approaches," IEEE Access, vol. 13, pp. 153189–153199, 2025.
. H. Qiao and A. Zhao, "Artificial intelligence-based language learning: Illuminating the impact on speaking skills and self-regulation in Chinese EFL context," Frontiers in Psychology, vol. 14, art. 1255594, 2023.
. T. Jantakoon, T. Jantakun, K. Jantakun, W. Pongpanich, R. Pasmala, P. Wannapiroon, and P. Nilsook, "The effectiveness of artificial intelligence in English instruction for speaking and listening skills: A meta-analysis," Contemporary Educational Technology, vol. 17, no. 4, art. ep596, 2025.
. K. L. López-Minotta, A. Chiappe, and J. Mella-Norambuena, "Implementation of artificial intelligence to improve English oral expression," Multidisciplinary Journal of Educational Research, vol. 15, no. 1, pp. 43–71, 2025.
. A. M. Dávila Macías, D. O. Armijos Solano, L. M. Palma Perero, J. A. Roca Panimboza, and C. J. Lucas Soledispa, "The potential of artificial intelligence to improve speaking skills in a second language (English) fluently," Ciencia Latina Revista Científica Multidisciplinar, vol. 8, no. 3, pp. 3826–3836, 2024.
. C. J. Lin and H. Mubarok, "Learning analytics for investigating the mind map-guided AI chatbot approach in an EFL flipped speaking classroom," Educational Technology & Society, vol. 24, no. 4, pp. 16–35, 2021.
. C. Zheng, X. Chen, H. Zhang, and C. S. Chai, "Automated versus peer assessment: Effects on learners' English public speaking," Language Learning & Technology, vol. 28, no. 2, pp. 210–228, 2024.
. C. H. Chen, C. S. Koong, and C. Liao, "Influences of integrating dynamic assessment into a speech recognition learning design to support students' English speaking skills, learning anxiety, and cognitive load," Educational Technology & Society, vol. 25, no. 1, pp. 1–14, 2022.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 International Journal of Learning Development and Innovation

This work is licensed under a Creative Commons Attribution 4.0 International License.


