Conversational AI in Informal EFL Speaking Practice: Learners’ Experiences and Pedagogical Implications

Authors

DOI:

https://doi.org/10.31963/rial.v4i2.6456

Keywords:

ChatGPT Voice, Conversational AI, Informal EFL speaking, Learner experiences, Pedagogical Implications, Self-regulated learning

Abstract

This study investigates learners’ experiences and the pedagogical implications of using ChatGPT Voice for informal English as a Foreign Language (EFL) speaking practice. Although conversational AI has attracted growing attention in language learning less is known about learners’ experiences and the pedagogical implications of using ChatGPT Voice for informal EFL speaking practice. Employing a concurrent embedded mixed-methods design, data were collected from 302 undergraduate EFL learners from universities in Indonesia using a 26-item Likert-scale questionnaire and two open-ended questions. The findings indicate that learners generally perceived ChatGPT Voice as supporting confidence, motivation, fluency, pronunciation, and self-regulated learning by providing a supportive environment for informal speaking practice. However, technical limitations and self-management challenges may constrain optimal engagement. The study contributes to the growing literature on AI-assisted language learning by providing evidence of learners’ experiences with ChatGPT Voice in informal speaking practice and highlighting its pedagogical implications for supporting learner autonomy.

References

Aladini, A., Ismail, S. M., Khasawneh, M. A. S., & Shakibaei, G. (2025). Self-directed writing development across computer/AI-based tasks: Unraveling the traces on L2 writing outcomes, growth mindfulness, and grammatical knowledge. Computers in Human Behavior Reports, 17, 100566. https://doi.org/10.1016/j.chbr.2024.100566

Alghannam, M. S. M. (2025). Artificial intelligence as a provider of feedback on EFL student compositions. World Journal of English Language, 15(2), 161–173. https://doi.org/10.5430/wjel.v15n2p161

Alsalem, M. S. (2024). EFL students’ perception and attitude towards the use of ChatGPT to promote English speaking skills in the Saudi context. Arab World English Journal, 15(4), 73–84. https://doi.org/10.24093/awej/vol15no4.5

Andriani, F. A., & Sujarwati, I. (2025). The autonomous learning level of speaking skill in English education study program. J-SHMIC : Journal of English for Academic, 12(1), 45–57. https://doi.org/10.25299/jshmic.2025.vol12(1).20491

Anggoro, K. J., & Khasanah, U. (2022). EFL students’ independent learning with Pear Deck interactive slides. Studies in Self-Access Learning Journal, 13(1), 172–176. https://doi.org/10.37237/130111

Bartell, S. M. (2026). Talking to myself: Rhetorical performance and the pedagogy of machine conversation. Adult Learning, 10451595261447522. https://doi.org/10.1177/10451595261447522

Behforouz, B., & Al Ghaithi, A. (2024). The impact of using interactive chatbots on self-directed learning. Studies in Self-Access Learning Journal, 15(3), 317–344. https://doi.org/10.37237/150302

Benson, P. (2011). Teaching and Researching: Autonomy in Language Learning (2nd ed.). Routledge. https://doi.org/10.4324/9781315833767

Bhar, S. K. (2026). Artificial intelligence in EFL speaking instruction: A systematic review of pedagogical design, affective conditions and instructional input. In Encyclopedia (Vol. 6, Issue 4, p. 74). https://doi.org/10.3390/encyclopedia6040074

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Chan, H. W. (2019). Promoting autonomous, collaborative English learning practices and fostering greater learner autonomy among secondary students in Hong Kong. Asian Journal of Education and E-Learning, 7(1), 22–28. https://doi.org/10.24203/ajeel.v7i1.5664

Chen, Y., Ke, N., Huang, L., & Luo, R. (2025). The role of GenAI in EFL speaking: Effects on oral proficiency, anxiety and risk-taking. RELC Journal, 00336882251341072. https://doi.org/10.1177/00336882251341072

Creswell, J. W., & Creswell, J. D. (2022). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications.

Darmawansah, D., & Hwang, G.-J. (2024). Effects of robot-based multiple low-stakes assessments on students’ oral presentation performance, collective efficacy, and learning attitude. Educational Technology Research and Development, 72(4), 2013–2039. https://doi.org/10.1007/s11423-024-10360-2

Ding, D., & Yusof, A. 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), 1223. https://doi.org/10.1057/s41599-025-05550-z

Dizon, G., Gold, J., & Barnes, R. (2025). ChatGPT for self-regulated language learning: University English as a foreign language students’ practices and perceptions. Digital Applied Linguistics, 3, 102510. https://doi.org/10.29140/dal.v3.102510

Ericsson, E., & Johansson, S. (2023). English speaking practice with conversational AI: Lower secondary students’ educational experiences over time. Computers and Education: Artificial Intelligence, 5, 100164. https://doi.org/10.1016/j.caeai.2023.100164

Fowlin, J., Coleman, D., Ryan, S., Gallo, C., Soares, E., & Hazelton, N. (2025). Empowering educators: Operationalizing age-old learning principles using AI. In Education Sciences (Vol. 15, Issue 3, p. 393). https://doi.org/10.3390/educsci15030393

Gallagher-Brett, A. (2007). What do learners’ beliefs about speaking reveal about their awareness of learning strategies? The Language Learning Journal, 35(1), 37–49. https://doi.org/10.1080/09571730701315675

Grab, M. Ö. (2025). Integrated AI chatbot practice: A pathway to improved ESL speaking skills. Social Sciences & Humanities Open, 12, 101933. https://doi.org/10.1016/j.ssaho.2025.101933

Halim, N., Kasim, N. A., & Pratiwi, D. F. (2025). Developing speaking proficiency in Indonesian EFL classrooms: A qualitative study on challenges and solutions. The Academic: English Language Learning Journal, 10(1), 9–18. https://doi.org/10.52208/aellj.v10i1.1384

Han, R., Alibakhshi, G., Lu, L., & Labbafi, A. (2024). Digital communication activities and EFL learners’ willingness to communicate and engagement: Exploring the intermediate language learners’ perceptions. Heliyon, 10(3), e25213. https://doi.org/10.1016/j.heliyon.2024.e25213

Hase, S., & Kenyon, C. (2000). From Andragogy to Heutagogy. In Ultibase.

Hijra, H., Rahim, T. R., & Syarif, A. R. (2024). Barriers to oral proficiency: Exploring causes of speaking inhibition in EFL learners. KLASIKAL : Journal of Education, Language Teaching and Science, 6(2), 409–418. https://doi.org/10.52208/klasikal.v6i2.1168

Hu, W., Roe, J., Perkins, M., Dizon, G., Gold, J., Barnes, R., Huang, J., Qamar, M. B., Info, A., Technol, J. E., Educ, H., Song, Y., Huang, L., Zheng, L., Fan, M., Liu, Z., Xiao, Y., Kohnke, L., Luke, B., … Reinders, H. (2024). ChatGPT as a tool for self-learning English among EFL learners : A multi-methods study. System, 17(2), 1–17. https://doi.org/10.1080/2331186X.2024.2433814

Huang, H., & Li, M. (2026). The impact of technology-enhanced language learning environments on second language learners’ willingness to communicate: A systematic review of empirical studies from 2012 to 2023. Language Learning & Technology, 28(1), 1–22. https://doi.org/10.64152/10125/73593

Jia, Q., Cui, J., Du, H., Rashid, P., Xi, R., Li, R., & Gehringer, E. (2024). LLM-generated feedback in real classes and beyond: Perspectives from students and instructors. In P. Benjamin & D. E. Carrie (Eds.), Proceedings of the 17th International Conference on Educational Data Mining (pp. 862–867). International Educational Data Mining Society. https://doi.org/10.5281/zenodo.12729973

Kafabih, A. (2025). Secondary education students’ perceptions, enjoyment, and satisfaction in using mobile devices for English learning. Lectio: Journal of Language and Language Teaching, 5(2), 1–14. https://doi.org/10.30822/h9vw7b38

Kafabih, A., Apriliana, M. S., Putri, N. A., Wardoyo, E., Retnani, S. T., Herda, R. K., & Majid, S. (2026). AI tools for personalized English learning: Bridging the gap between technology and language acquisition. Jurnal Wahana Pendidikan, 13(1), 1–14. https://doi.org/10.25157/jwp.v%25vi%25i.22475

Kafabih, A., Herda, R. K., & Jee, L. J. (2026). A study on the key factors affecting speaking fluency in Indonesian higher education settings. Journal of English Language and Language Teaching, 10(1), 37–53. https://doi.org/10.36597/jellt.v10i1.18977

Kafabih, A., Herda, R. K., & Monteza, A. M. M. (2025). Classroom praxis of applied oral communication strategies in enhancing English speaking skills in Indonesian secondary school. Research and Innovation in Applied Linguistics (RIAL), 3(2), 195–214. https://doi.org/10.31963/rial.v3i2.5526

Kamelabad, M. A., Turano, B., Lundin, M., & Skantze, G. (2026). Personalized language learning with an LLM chatbot: effects of immediate vs. delayed corrective feedback. Frontiers in Education, Volume 11. https://doi.org/10.3389/feduc.2026.1703664

Kang, S., & Sung, M. (2024). EFL students’ self-directed learning of conversation skills with AI chatbots. Language Learning & Technology, 28(1), 1–19. https://doi.org/10.64152/10125/73600

Lindsay, E. D., Zhang, M., Johri, A., & Bjerva, J. (2025). The responsible development of automated student feedback with generative AI. 2025 IEEE Global Engineering Education Conference (EDUCON), 1–10. https://doi.org/10.1109/EDUCON62633.2025.11016572

Manso-Vázquez, M., & Llamas-Nistal, M. (2015). A monitoring system to ease self-regulated learning processes. IEEE Revista Iberoamericana de Tecnologias Del Aprendizaje, 10(2), 52–59. https://doi.org/10.1109/RITA.2015.2417952

Matiienko-Silnytska, A., Mikava, N., Savranchuk, I., Tkhor, N., & Poliakova, H. (2025). Conversational analysis of learner – AI chatbot interactions in developing spoken fluency. Arab World English Journal, 16(4), 224–238. https://doi.org/10.24093/awej/vol16no4.13%20

Meng, F., & Feng, C. (2019). Task-based language teaching for EFL students based on blended learning. Proceedings of the 2019 4th International Conference on Humanities Science and Society Development (ICHSSD 2019), 142–145. https://doi.org/https://doi.org/10.2991/ichssd-19.2019.28

Mercer, S., & Dörnyei, Z. (2020). Engaging language learners in contemporary classrooms. In Cambridge Professional Learning. Cambridge University Press. https://doi.org/10.1017/9781009024563

Meyer, L. M. (2000). Barriers to meaningful instruction for English learners. Theory Into Practice, 39(4), 228–236. https://doi.org/10.1207/s15430421tip3904_6

Mohebbi, A. (2025). Enabling learner independence and self-regulation in language education using AI tools: A systematic review. Cogent Education, 12(1), 2433814. https://doi.org/10.1080/2331186X.2024.2433814

Mudawy, A. M. A. (2025). Exploring EFL learners’ perceptions on the use of AI-powered conversational tools to improve speaking fluency: A Case study at Majmaah University. Forum for Linguistic Studies, 7(1), 589–598. https://doi.org/10.30564/fls.v7i1.7774

Mutaat, M. (2022). Students’ perceptions towards teaching speaking. Acitya: Journal of Teaching and Education, 4(1), 58–68. https://doi.org/10.30650/ajte.v4i1.3190

Naz, I., & Robertson, R. (2024). Exploring the feasibility and efficacy of ChatGPT3 for personalized feedback in teaching. The Electronic Journal of E-Learning, 22(2), 98–111. https://doi.org/10.34190/ejel.22.2.3345

Nazri, M. A. (2025). Communication barriers in speaking: Challenges faced by Indonesian EFL learners. Journal of English Language and Education, 10(5), 134–143. https://doi.org/10.31004/jele.v10i5.1089

Oxford, R. L. (2016). Teaching and researching language learning strategies: Self-regulation in context (1 (ed.)). Routledge. https://doi.org/10.4324/9781315719146

Qarani, Z. S. (2024). The effect of learners’ self-directed study on willingness to communicate. Cihan University-Erbil Journal of Humanities and Social Sciences, 8(1), 103–106. https://doi.org/10.24086/cuejhss.v8n1y2024.pp103-106

Qiu, X., Lo, Y. Y., Ge, H., & Bui, G. (2025). Second language learner engagement in computer-mediated interactive oral tasks. Studies in Second Language Learning and Teaching, 16(1), 13–41. https://doi.org/10.14746/ssllt.41317

Rishatovna, B. K. (2025). AI Tools For Speaking Fluency And Pronunciation: Effectiveness And Limitations. European Index Library of European International Journal of Philological Sciences, 5(12), 53–57. https://doi.org/10.55640/eijps-05-12-15

Shadiev, R., & Feng, Y. (2024). Using automated corrective feedback tools in language learning: A review study. Interactive Learning Environments, 32(6), 2538–2566. https://doi.org/10.1080/10494820.2022.2153145

Shi, L., Li, S., & Xing, J. (2025). Exploring Chinese secondary EFL students’ self-regulated learning and task engagement in AI-assisted classrooms: A latent growth curve modelling study. European Journal of Education, 60(4), e70241. https://doi.org/10.1111/ejed.70241

Swain, M. (2005). The output hypothesis: Theory and research. In Handbook of Research in Second Language Teaching and Learning (1st ed.). Routledge. https://doi.org/10.4324/9781410612700

Szyszka, M., & Lintunen, P. (2026). Exploring the interplay of trait-like L2 willingness to communicate, international posture, language anxiety and fluency in monologue L2 speech. International Review of Applied Linguistics in Language Teaching, 64(1), 81–105. https://doi.org/10.1515/iral-2024-0173

Tai, T. Y. (2024). Effects of intelligent personal assistants on EFL learners’ oral proficiency outside the classroom. Computer Assisted Language Learning, 37(5–6), 1281–1310. https://doi.org/10.1080/09588221.2022.2075013

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. https://doi.org/10.1016/j.amper.2025.100224

Yanti, N., & Damanik, E. S. D. (2026). Students’ perceptions of using Cici AI’s voice communication feature in improving English speaking ability. Acuity: Journal of English Language Pedagogy, Literature and Culture, 11(1), 35–44. https://doi.org/10.35974/acuity.v11i1.4005

Zhang, W. (2026). The impact of AI chatbots on EFL learners’ oral proficiency and willingness to communicate. System, 136, 103919. https://doi.org/10.1016/j.system.2025.103919

Zhang, Z., Zhou, S., & Bai, B. (2025). A systematic scoping review of self-regulated learning with AI in language education. International Journal of Applied Linguistics, n/a(n/a). https://doi.org/10.1111/ijal.70030

Zhao, M. (2025). Comprehensive evaluation and improvement strategy of college English oral fluency and pronunciation accuracy driven by artificial intelligence. 2nd International Conference on Computing and Data Science (ICCDS), 1–6. https://doi.org/10.1109/ICCDS64403.2025.11209682

Zheng, C. (2019). Developing students’ communicative competence through interaction in oral English. Studies in Literature and Language, 18(2), 34–37. https://doi.org/10.3968/10935

Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64–70. https://doi.org/10.1207/s15430421tip4102_2

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2026-08-24

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