The Effects of AI Oral Tools on Oral Proficiency Among English Teacher Candidates: A Quasi-Experimental Study

Authors

  • Yi Wang English Education, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China

DOI:

https://doi.org/10.6918/

Keywords:

AI oral tools; English teacher candidates; Oral proficiency; Quasi-experimental study; Teaching interaction.

Abstract

Research on the Effect of AI-Assisted Speaking Practice on the General Level of English-Speaking Ability for Teacher Trainees: A Quasi-Experimental Study. Over the next 12 weeks, this experiment will compare the learning results of students in traditional classes with those of students who have participated in the combined model of daily AI-assisted exercises. Some kinds of blind assessment and statistics will be used. According to the above data, AI oral tools can improve students’ speaking fluency, phonetics and grammar accuracy, vocabulary and application in actual teaching situations. Problems in the old method of oral teaching, such as limited practice opportunities, slow feedback and an absent professional communication environment, can also be resolved by the tools mentioned above. The results offer some practical suggestions for self-study and practice by English-teaching candidates and can also help to strengthen the curriculum of university oral-English courses.

Downloads

Download data is not yet available.

References

[1] Lei Tao,Yanjie Song & Jiachen Fu.(2026).Exploring students' self-regulated learning behavioural patterns and perceptions in an English speaking task within a generative AI-supported immersive VR environment.Computers & Education,242,105515-105515. https://doi.org/10.1016/J.COMPEDU.2025.105515.

[2] Xiudi Zhang.(2025).Enhancing oral English learning through AI: a case study on the impact of AI-driven speaking applications among Chinese university students.Frontiers in Psychology,16,1595818-1595818. https://doi.org/10.3389/FPSYG.2025.1595818.

[3] Long Ye,Jie Du & Zhaohui He.(2025).Willingness to communicate with AI chatbots in English: the role of personality and trust among Chinese college students..Disability and rehabilitation. Assistive technology,1-16. https://doi.org/10.1080/17483107.2025.2572532.

[4] Yuwei Wan & Benjamin Luke Moorhouse.(2025).Using Call Annie as a Generative Artificial Intelligence Speaking Partner for Language Learners.RELC Journal,56(2),489-498. https://doi.org/10.1177/00336882231224813.

[5] Jianhao Wu, Wanting Zhou & Chao Cao.(2024).An empirical study on generative artificial intelligence-enabled oral English teaching. China Educational Technology,4,105-111.

[6] Linjuan Wu.(2025).An empirical study on large language models empowering English speaking teaching. Modern Educational Technology,35(10),33-41.

[7] Nan Ge & Chunping Zheng.(2025).A systematic review of studies on intelligent chatbot-supported English speaking teaching. Foreign Language Learning,46(3),56-63. https://doi.org/10.16362/j.cnki.cn61-1023/h.2025.03.013

[8] Fang Huang & Zhaoqi Tang.(2026).AI-enabled oral English learning: A study on perceived enjoyment and continuance intention. Journal of Xi’an International Studies University,34(1),53-59. https://doi.org/10.13632/j.cnki.cn61-1457/h.2026.01.009

[9] Bin Zou & Chenghao Wang.(2026).Generative artificial intelligence as a pathway for personalized English speaking learning among college students. Foreign Language Learning,1,61-69. https://doi.org/10.16263/j.cnki.cn23-1071/h.2026.01.010

[10] Yinxing Jin & Fengjuan Sun.(2025).A study on generative AI-based emotional intervention in college students’ English speaking anxiety. Foreign Language Education Research Frontiers,8(3),97-109. https://doi.org/10.20083/j.cnki.fleic.2025.0031

[11] Yangyang Li & Jing Wang.(2023).A pathway to improve pre-service English teachers’ oral expression ability in the context of virtual simulation technology. English Square,20,86-91. https://doi.org/10.16723/j.cnki.yygc.2023.20.029

[12] Jian’er Zhong.(2020).Effective approaches to cultivating normal university students’ oral English proficiency in the context of the national teacher qualification examination. Journal of Jiamusi Vocational College,36(8),117-118.

Downloads

Published

2026-09-11

Issue

Section

Articles

How to Cite

Wang, Y. (2026). The Effects of AI Oral Tools on Oral Proficiency Among English Teacher Candidates: A Quasi-Experimental Study. International Journal of Social Science and Education Research, 9(9), 87-92. https://doi.org/10.6918/