ISSN: 2226-6348
Open access
Existing studies have shown that Artificial Intelligence (AI) tools can effectively improve speaking proficiency, including aspects such as pronunciation, fluency, grammar and vocabulary. Meanwhile, some research has demonstrated their potential in fostering learner motivation and interest. However, current research lacks investigating both these tools' effectiveness in boosting speaking skills and enhancing psychological factors like motivation and anxiety reduction. Building on the gap, this study investigates the impact of AI-assisted speaking applications on enhancing English as a Foreign Language (EFL) speaking skills and students’ intrinsic motivation for speaking practice. The research involved 70 sophomore English major students at a university in China, with the experimental class using the AI app EAP Talk for speaking practice over a four-week period, while the control class followed traditional speaking practice methods without AI support. A mixed-methods approach was adopted in this study, including pre- and post-tests via a speech assessment platform, a survey, and semi-structured interviews to examine improvements in speaking proficiency alongside intrinsic motivation. The findings from the pre- and post-tests reveal significant improvements in the experimental class’s speaking skills, particularly in pronunciation and fluency. Survey results revealed that most students found AI app helpful in increasing their motivation in speaking practice and boosting confidence in learning English. Many reported improved speaking skills and expressed willingness to continue using AI tool. Interview data further indicated that students perceived AI as an effective tool in reducing their speaking anxiety, while also appreciating the flexibility to practice anytime and anywhere. This study offers insights into the application of AI tools in EFL education, highlighting their potential to enhance both speaking proficiency and learner motivation.
Ahn, T. Y., & Lee, S. M. (2016). User experience of a mobile speaking application with automatic speech recognition for EFL learning. British Journal of Educational Technology, 47(4), 778–786. https://doi.org/10.1111/bjet.12212
Alsatuey, M. C. (2011). Perceived benefits and drawbacks of synchronous voice-based computer-mediated communication in the foreign language classroom. Computer-Assisted Language Learning, 24(5), 419–432. https://doi.org/10.1080/09588221.2011.565964
Azamatova, A., Bekeyeva, N., Zhaxylikova, K., Sarbassova, A., & Ilyassova, N. (2023). The effect of using artificial intelligence and digital learning tools based on a project-based learning approach in foreign language teaching on students' success and motivation. International Journal of Education in Mathematics, Science and Technology, 11(6), 1458–1475. https://doi.org/10.46328/ijemst.1880
Chang, Y., Lee, S., Wong, S. F., & Jeong, S. (2021). AI-powered learning application use and gratification: An integrative model. Information Technology & People, 35(7), 2115–2139. https://doi.org/10.1108/ITP-07-2020-0527
Chen, H. H. J. (2011). Developing and evaluating an oral skills training website supported by automatic speech recognition technology. ReCALL, 23(1), 59–78. https://doi.org/10.1017/S0958344010000280
Deci, E. L., & Ryan, R. M. (2013). Intrinsic motivation and self-determination in human behavior. Springer Science & Business Media.
Du, Y., & Mo, Q. (2022). An adaptive tutor or explicit facilitator? Influence and role of artificial intelligence in promoting L2 motivation among college students. Influence and Role of Artificial Intelligence in Promoting L2 Motivation Among College Students. https://doi.org/10.3389/fpsyg.2022.906499
Fouz-González, J. (2020). Using apps for pronunciation training: An empirical evaluation of the English File Pronunciation app. Language Learning & Technology, 24(1), 62–85. https://doi.org/10125/44557
Gunasekaran, D., & Subramaniam, G. K. J. (2022). The influence of reading on students’ speaking abilities: Pronunciation, grammar, and vocabulary. Change & Adaptation, 161. https://doi.org/10.21814/jaals
Harris, D. (1974). Testing English as a second language. McGraw-Hill.
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (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
Khasawneh, M. A. S., & Khasawneh, Y. J. A. (2023). The potentials of artificial intelligence in stimulating motivation and improving performance of undergraduates in foreign languages. Journal of Namibian Studies: History Politics Culture, 34, 7059–7077. https://doi.org/10.5281/zenodo.7485866
Kok, J. N., Boers, E. J., Kosters, W. A., Van der Putten, P., & Poel, M. (2009). Artificial intelligence: Definition, trends, techniques, and cases. Artificial Intelligence, 1, 270–299. https://doi.org/10.1016/j.artint.2009.02.003
Lehman, B., Gu, L., Zhao, J., Tsuprun, E., Kurzum, C., Schiano, M., ... & Tanner Jackson, G. (2020). Use of adaptive feedback in an app for English language spontaneous speech. In Artificial Intelligence in Education: 21st International Conference, AIED 2020, Ifrane, Morocco, July 6–10, 2020, Proceedings, Part I 21 (pp. 309–320). Springer International Publishing. https://doi.org/10.1007/978-3-030-51093-7_26
Li, M., & Zou, B. (2022). Using artificial intelligence technology as a tutor for EFL speaking practice. In J. Colpaert & G. Stockwell (Eds.), Smart CALL: Personalization, contextualization, socialization (pp. 82–100). Springer. https://doi.org/10.1007/978-3-030-53968-1_6
Liu, Y., Yang, T., & Xu, S. Y. (2019). The efficacy of using Liulishuo for spoken English ability: Taking the practice of Liulishuo in North China Electric Power University (Baoding) as an example. International Education Studies, 12(4), 244–252. https://doi.org/10.5539/ies.v12n4p244
Shafiee Rad, H., & Roohani, A. (2024). Fostering L2 learners’ pronunciation and motivation via affordances of artificial intelligence. Computers in the Schools, 1–22. https://doi.org/10.1080/07380569.2024.2046197
Syakur, A., & Azis, R. (2020). Developing a reading learning model to increase reading skills for animal husbandry students in higher education. Britain International of Linguistics Arts and Education (BIoLAE) Journal, 2(1), 484–493. https://doi.org/10.30560/biolaj.v2n1p484
Vallerand, R. J., Pelletier, L. G., Blais, M. R., Briere, N. M., Senecal, C., & Vallieres, E. F. (1992). The Academic Motivation Scale: A measure of intrinsic, extrinsic, and amotivation in education. Educational and psychological measurement, 52(4), 1003-1017.
Wang, C., & Zou, B. (2024). Review of EAP talk. Journal of China Computer-Assisted Language Learning, 4(2), 376-385.
Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14, 1261955. https://doi.org/10.3389/fpsyg.2023.1261955
Yang, H., Kim, H., Lee, J., & Shin, D. (2022). Implementation of an AI chatbot as an English conversation partner in EFL speaking classes. ReCALL, 34(3), 327–343. https://doi.org/10.1017/S095834402100038X
Zou, B., Guan, X., Shao, Y., & Chen, P. (2023). Supporting speaking practice by social network-based interaction in artificial intelligence (AI)-assisted language learning. Sustainability, 15(4), Article 2872. https://doi.org/10.3390/su15042872
Shen, J., Ma, Q., Ma, Q., & Deris, F. D. (2025). Exploring the Impact of AI-Assisted Speaking Practice on EFL Learners’ Speaking Proficiency and Motivation: A Mixed-Method Study. International Journal of Academic Research in Progressive Education and Development, 14(4), 43–52.
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