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International Journal of Academic Research in Progressive Education and Development

Open Access Journal

ISSN: 2226-6348

Evaluate the Effectiveness of Using AI in Spoken English: A Literature Review

Bin Xu, Hanita Hanim Ismail

http://dx.doi.org/10.6007/IJARPED/v14-i3/26366

Open access

With the growing prevalence of artificial intelligence (AI) in education, spoken English learning has undergone significant transformation. This literature review explores the effectiveness of AI-powered tools—including speech recognition, chatbots, and intelligent tutoring systems—in improving pronunciation, fluency, and learner engagement. Framed by Computer-Assisted Language Learning (CALL) and Second Language Acquisition (SLA) theories, the review synthesizes findings from over a decade of research. Evidence suggests that AI facilitates individualized learning and provides instant feedback that enhances oral proficiency. However, limitations persist, particularly in providing contextual feedback, accommodating diverse accents, and mitigating overreliance on AI systems. The review concludes by highlighting future directions such as context-aware AI systems, inclusive speech recognition, hybrid learning models, and metacognitive training. These insights inform pedagogical design and call for balanced integration of AI and human-led instruction to foster effective spoken English acquisition.

AbuSahyon, A. S. A. E., Alzyoud, A., Alshorman, O., & Al-Absi, B. (2023). AI-driven technology and chatbots as tools for enhancing English language learning in the context of second language acquisition: A review study. International Journal of Membrane Science and Technology, 10(1), 1209-1223.
Ahmed, F. (2024). The digital divide and AI in education: Addressing equity and accessibility. AI EDIFY Journal, 1(2), 12-23.
Aichhorn, N., & Puck, J. (2017). “I just don’t feel comfortable speaking English”: Foreign language anxiety as a catalyst for spoken-language barriers in MNCs. International Business Review, 26(4), 749-763.
Akhmedova, M. M. (2025, May). Gamification and Artificial Intelligence in Language Teaching: Innovative Ways to Enhance Effectiveness. In International Conference on MODERN EDUCATION AND INNOVATIVE APPROACHES TO TEACHING FOREIGN LANGUAGES" (pp. 77-81).
Alrajhi, A. S. (2024). Artificial intelligence pedagogical chatbots as L2 conversational agents. Cogent Education, 11(1), 2327789.
Anh, N. H., Baharloo, A., & Pasaribu, G. R. (2025). Integrating AI-Based Tools to Enhance Speaking Fluency in EFL Classrooms in Labuhanbatu Utara. JELIM: Journal of Education, Language, Social and Management, 3(1), 7-16.
Anis, M. (2023). Leveraging artificial intelligence for inclusive English language teaching: Strategies and implications for learner diversity. Journal of Multidisciplinary Educational Research, 12(6), 54-70.
Benson, P. (2013). Teaching and researching: Autonomy in language learning. Routledge.
Borrego, M. M. (2025). Artificial Intelligence-Assisted Error Analysis: Developing Pragmatic Competence in EFL Learners. In Application of AI in the Teaching and Learning of English as a Foreign Language (EFL) (pp. 99-148). IGI Global Scientific Publishing.
Bu, Y., Ma, T., Li, W., Zhou, H., Jia, J., Chen, S., ... & Liu, Z. (2021, May). PTeacher: A computer-aided personalized pronunciation training system with exaggerated audio-visual corrective feedback. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-14).
Burston, J. (2015). Twenty years of MALL project implementation: A meta-analysis of learning outcomes. ReCALL, 27(1), 4-20.
Canale, M., & Swain, M. (1980). Theoretical bases of commuicative approaches to second language teaching and testing.Applied Linguistics, 1(1), 1–47.
Chan, S., & Lo, N. (2024, August). Enhancing EFL/ESL instruction through gamification: a comprehensive review of empirical evidence. In Frontiers in Education (Vol. 9, p. 1395155). Frontiers Media SA.
Chapelle, C. A. (2007). Technology and second language acquisition. Annual review of applied linguistics, 27, 98-114.
Chen, C. (2021). A bilingual/L2 hybrid intervention model: combining human and machine intelligences (Doctoral dissertation, University of Illinois at Urbana-Champaign).
Çiftçi, A. (2024). AI Assisted Teaching: Practices and Perspectives of Instructors on Using AI Tools in ELT (Master's thesis, Maltepe University (Turkey)).
Dai, Y., & Wu, Z. (2023). Mobile-assisted pronunciation learning with feedback from peers and/or automatic speech recognition: A mixed-methods study. Computer Assisted Language Learning, 36(5-6), 861-884.
Daniela, M. (2024). The application of Artificial Intelligence in EFL learning and teaching: considerations, challenges and practical examples for educators. Juan C. Figuereo Benítez.
Danka, S. (2024). The effectiveness of a Computer-Assisted Pronunciation Training Approach for the production and perception of linking by English L2 learners (Doctoral dissertation, University of Leicester).
Deci, E. L., & Ryan, R. M. (2000). The" what" and" why" of goal pursuits: Human needs and the self-determination of behavior. Psychological inquiry, 11(4), 227-268.
Dehghanzadeh, H., Fardanesh, H., Hatami, J., Talaee, E., & Noroozi, O. (2021). Using gamification to support learning English as a second language: a systematic review. Computer Assisted Language Learning, 34(7), 934-957.
Dennis, N. K. (2024). Using AI-Powered Speech Recognition Technology to Improve English Pronunciation and Speaking Skills. IAFOR Journal of Education, 12(2), 107-126.
Devi, S., & Sharma, V. (2024). The AI-supported Language Library Model: It's Not About the CALL Tools, It's About the Language Library. Library of Progress-Library Science, Information Technology & Computer, 44(3).
Ding, D., & Yusof, M. B. (2025). Investigating the role of AI-powered conversation bots in enhancing L2 speaking skills and reducing speaking anxiety: a mixed methods study. Humanities and Social Sciences Communications, 12(1), 1-16.
Engwall, O., & Bälter, O. (2007). Pronunciation feedback from real and virtual language teachers. Computer Assisted Language Learning, 20(3), 235-262.
Eragamreddy, N. (2025). The impact of AI on pragmatic competence. Journal of Teaching English for Specific and Academic Purposes, 169-189.
Ercan, H., & Kunt, N. (2019). Is it really difficult to produce correct th (/ð/and/?/) sounds in English for EFL Learners? A case study in Northern Cyprus. Journal of Language and Linguistic Studies, 15(3), 926-936.
Fathi, J., Rahimi, M., & Derakhshan, A. (2024). Improving EFL learners’ speaking skills and willingness to communicate via artificial intelligence-mediated interactions. System, 121, 103254.
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American psychologist, 34(10), 906.
Gass, S. M. (2013). Input, interaction, and the second language learner. Routledge.
Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216.
Godwin-Jones, R. (2018). Using mobile technology to develop language skills and cultural understanding. Language Learning & Technology, 22(3), 3-17.
Godwin-Jones, R. (2023). Emerging spaces for language learning: AI bots, ambient intelligence, and the metaverse. Language Learning & Technology, 27(2), 6-27.
Godwin-Jones, R. (2023). Presence and agency in real and virtual spaces: The promise of extended reality for language learning.
Goto Butler, Y., & Lee, J. (2010). The effects of self-assessment among young learners of English. Language testing, 27(1), 5-31.
Graesser, A. C., Chipman, P., Haynes, B. C., & Olney, A. (2005). AutoTutor: An intelligent tutoring system with mixed-initiative dialogue. IEEE Transactions on Education, 48(4), 612-618.
Hincks, R. (2005). Computer support for learners of spoken English (Doctoral dissertation, KTH).
Holozsai, J., & József, H. (2024). Aspects of digital learning among foreign language learners in secondary education.
Huang, W., Hew, K. F., & Fryer, L. K. (2022). Chatbots for language learning—Are they really useful? A systematic review of chatbot?supported language learning. Journal of computer assisted learning, 38(1), 237-257.
Ismail, S., & Alharkan, A. (2024). EFL learners' positive emotions in the era of technology: Unpacking the effects of artificial intelligence on learning enjoyment, self-efficacy, and resilience. Computer-Assisted Language Learning Electronic Journal, 25(4), 526-551.
Jamrus, M. H. M., & Razali, A. B. (2019). Using self-assessment as a tool for English language learning. English Language Teaching, 12(11), 64-73.
Jawaid, A., Batool, M., Arshad, W., ul Haq, M. I., Kaur, P., & Sanaullah, S. (2025). AI and English language learning outcomes. Contemporary Journal of Social Science Review, 3(1), 927-935.
Kasper, G., & Rose, K. R. (2002). Pragmatic development in a second language. Language learning.
Kheir, Y. E., Ali, A., & Chowdhury, S. A. (2023). Automatic Pronunciation Assessment--A Review. arXiv preprint arXiv:2310.13974.
Krashen, S. D. (1985). The input hypothesis: Issues and implications. (No Title).
Li, Z., & Hegelheimer, V. (2013). Mobile-assisted grammar exercises: Effects on self-editing in L2 writing.
Lindgren, H. (2024). Emerging roles and relationships among humans and interactive AI systems. International Journal of Human–Computer Interaction, 1-23.
Liu, X. J., Wang, J., & Zou, B. (2025). Evaluating an AI speaking assessment tool: Score accuracy, perceived validity, and oral peer feedback as feedback enhancement. Journal of English for Academic Purposes, 75, 101505.
Long, M. (1996). The role of the linguistic environment in second language acquisition. Handbook of second language acquisition.
Loor, M. A. M., Solorzano, D. M. A., Katherine, A., & Moreira, V. (2024). Integration of artificial intelligence in english teaching. Journal of Cleaner Producfion, 289, 125834.
Mieczkowski, H., Hancock, J. T., Naaman, M., Jung, M., & Hohenstein, J. (2021). AI-mediated communication: Language use and interpersonal effects in a referential communication task. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 1-14.
Mohebbi, A. (2025). Enabling learner independence and self-regulation in language education using AI tools: a systematic review. Cogent Education, 12(1), 2433814.
Moybeka, A. M., Syariatin, N., Tatipang, D. P., Mushthoza, D. A., Dewi, N. P. J. L., & Tineh, S. (2023). Artificial Intelligence and English classroom: the implications of AI toward EFL students’ motivation. Edumaspul: Jurnal Pendidikan, 7(2), 2444-2454.
Munro, M. J., & Derwing, T. M. (2019). Collecting data in L2 pronunciation research. Pronunciation in Second Language Learning and Teaching Proceedings, 11(1).
Ngueajio, M. K., & Washington, G. (2022, June). Hey ASR system! Why aren’t you more inclusive? Automatic speech recognition systems’ bias and proposed bias mitigation techniques. A literature review. In International conference on human-computer interaction (pp. 421-440). Cham: Springer Nature Switzerland.
Nuryah, A. (2024). The Comparison Between Lecturer and AI-Powered Platform'Feedback in Assessing English Pronunciation (Bachelor's thesis, FITK UIN Syarif Hidayatullah Jakarta).
Nykyporets, S. S., Melnyk, O. D., & Medvedieva, S. O. (2024). A comparative analysis of digital technology utilization for English language learning among technical students in Ukraine and the European. ???????????? ?? ?????????? ???????????? ?????? ??????? ???????? ?????? ? ??????????? ????????????? ???????. ????. 2.2: 112-161.
Olson, C. L. (2016). The priming effect of English subject-predicate on Chinese topic-comment in English to Chinese translation. University of Hawai'i at Manoa.
Oudghiri, A. (2025). Optimizing Language Learning in Blended Environments: Enhancing Engagement and. Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024), 36, 414.
Philp, J., & Duchesne, S. (2016). Exploring engagement in tasks in the language classroom. Annual Review of Applied Linguistics, 36, 50-72.
Praveena, T., & Anupama, K. (2025). Machine Learning Meets Language Learning: The Transformative Potential of Artificial Intelligence in English Language Instruction. Human Research in Rehabilitation, 15(1).
Qin, L., & Zhong, W. (2024). Adaptive system of English-speaking learning based on artificial intelligence. Journal of Electrical Systems, 20(6s), 267-275.
Saadia, K. H. (2023). Assessing the effectiveness of text-to-speech and automatic speech recognition in improving EFL learner’s pronunciation of regular past-ed.
Schmidt, T., & Strasser, T. (2022). Artificial intelligence in foreign language learning and teaching: a CALL for intelligent practice. Anglistik: International Journal of English Studies, 33(1), 165-184.
Shafiee Rad, H., & Roohani, A. (2024). Fostering L2 learners’ pronunciation and motivation via affordances of artificial intelligence. Computers in the Schools, 1-22.
Stockwell, G. (2010). Using mobile phones for vocabulary activities: Examining the effect of platform.
Stockwell, G. (Ed.). (2012). Computer-assisted language learning. Cambridge University Press.
Swain, M., & Lapkin, S. (1995). Problems in output and the cognitive processes they generate: A step towards second language learning. Applied linguistics, 16(3), 371-391.
Taguchi, N. (2011). Teaching pragmatics: Trends and issues. Annual review of applied linguistics, 31, 289-310.
Van Moere, A., & Suzuki, M. (2017). Using speech processing technology in assessing pronunciation. In Assessment in second language pronunciation (pp. 137-152). Routledge.
Vo, S. (2016). Pronunciation fundamentals: Evidence-based perspectives for L2 teaching and research. Pronunciation in Second Language Learning and Teaching Proceedings, 7(1).
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes (Vol. 86). Harvard university press.
Wang, D. (2024). Teacher-versus AI-generated (Poe application) corrective feedback and language learners’ writing anxiety, complexity, fluency, and accuracy. International Review of Research in Open and Distributed Learning, 25(3), 37-56.
Warschauer, M., & Healey, D. (1998). Computers and language learning: An overview. Language teaching, 31(2), 57-71.
Wati, S. A., Ningsih, F., & Setiani, K. (2024). The Role of Mobile Apps in Increasing Student Engagement and Motivation in English Language Learning. ICOERESS, 1(1), 161-176.
Wei, L. (2023). Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in psychology, 14, 1261955.
Wiboolyasarin, W., Wiboolyasarin, K., Tiranant, P., Jinowat, N., & Boonyakitanont, P. (2025). AI-driven chatbots in second language education: A systematic review of their efficacy and pedagogical implications. Ampersand, 14, 100224.
Xalxo, P. V., Kindo, J., & Kachhap, P. (2025). Online Education Ecosystem—Exploring the Challenges and Opportunities. European Journal of Education, 60(2), e70085.
Xue, H., & Liu, W. (2025). Bibliometric Analysis of Natural Language Processing Technology in Education: Hot Topics, Frontier Evolution, and Future Prospects. SAGE Open, 15(1), 21582440251319891.
Yang, Y. T. C., Chuang, Y. C., Li, L. Y., & Tseng, S. S. (2013). A blended learning environment for individualized English listening and speaking integrating critical thinking. Computers & Education, 63, 285-305.
Yaroslavova, E. N., Kolegova, I. A., & Stavtseva, I. V. (2020). Flipped classroom blended learning model for the development of students’ foreign language communicative competence. ??????????? ????? ? ???????????, (1), 399-412.
Zhang, M. (2024). The Impact of Artificial Intelligence Virtual Oral Tutoring APPs on Chinese Youth’s Anxiety in Oral English learning——Interview Research Based on Users of Artificial Intelligence Speaking Tutoring APPs. Journal of Language, Culture and Education, 1(1), 31-38.
Zhang, Y., & Miao, Z. (2025). Enhancing EFL Learners' Engagement and Motivation Through Immersive Technologies: The Role of Artificial Intelligence, Augmented Reality, Virtual Reality, and Mobile Applications. European Journal of Education, 60(2), e70128.
Zhou, Q., Hashim, H., & Sulaiman, N. A. (2025). Supporting english speaking practice in higher education: the impact of AI chatbot-integrated mobile-assisted blended learning framework. Education and Information Technologies, 1-32.
Ziegler, N. (2016). Synchronous computer-mediated communication and interaction: A meta-analysis. Studies in Second Language Acquisition, 38(3), 553-586.
Ziqi, C., Xinhua, Z., Qi, L., & Wei, W. (2024). L2 students’ barriers in engaging with form and content-focused AI-generated feedback in revising their compositions. Computer Assisted Language Learning, 1-21.
Zou, B., Du, Y., Wang, Z., Chen, J., & Zhang, W. (2023). An investigation into artificial intelligence speech evaluation programs with automatic feedback for developing EFL learners’ speaking skills. Sage Open, 13(3), 21582440231193818.
Zou, B., Liviero, S., Ma, Q., Zhang, W., Du, Y., & Xing, P. (2024). Exploring EFL learners’ perceived promise and limitations of using an artificial intelligence speech evaluation system for speaking practice. System, 126, 103497.

Xu, B., & Ismail, H. H. (2025). Evaluate the Effectiveness of Using AI in Spoken English: A Literature Review. International Journal of Academic Research in Progressive Education and Development, 14(3), 1819–1836.