Use of Chatbots and Virtual Assistants to Improve Oral Fluency in English
DOI:
https://doi.org/10.56200/mried.v4i11.10079Keywords:
google assistant, education, english, technology, chatbotsAbstract
English proficiency is important, especially oral fluency; using virtual assistants such as Google Assistant can enhance this skill, reducing anxiety and generating motivation to practice regularly. This study aimed to analyze how the systematic use of Google Assistant influences the oral fluency in English of students from specialized institutes, overcoming common barriers in Ecuadorian educational contexts. A qualitative phenomenological-descriptive approach was employed; fifteen teachers from six institutes in Quito participated through semi-structured interviews, using inductive thematic analysis to explore perceptions about Google Assistant's impact on oral fluency. Results indicate that Google Assistant increased student motivation for oral practice, enhancing communicative confidence and reducing language anxiety, despite its limited use among interviewed teachers. The study concludes that Google Assistant improves oral fluency and communicative confidence, yet requires technological infrastructure, specific teacher training, and clear policies to bridge the gap between recognition and effective application in educational contexts.
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Burri, M. (2023). Making the Case for Brain-friendly Pronunciation Instruction. RELC Journal, 54(3), 864-872. https://doi.org/10.1177/00336882211035519
Chien, Y.-C., Wu, T.-T., Lai, C.-H., & Huang, Y.-M. (2022). Investigation of the Influence of Artificial Intelligence Markup Language-Based LINE ChatBot in Contextual English Learning. Frontiers in Psychology, 13, 785752. https://doi.org/10.3389/fpsyg.2022.785752
Chubb, J., Cowling, P., & Reed, D. (2022). Speeding up to keep up: Exploring the use of AI in the research process. AI & SOCIETY, 37(4), 1439-1457. https://doi.org/10.1007/s00146-021-01259-0
Criollo-Vargas, M. I., Torres-Criollo, L. M., Lizaldes-Espinosa, O. V., Ramírez-Coronel, A. A., Sarmiento-Pesántez, M. M., Cordero-Zumba, N. B., Faicán-Rocano6, P. F., & Cárdenas-Cordero, A. J. (2021). Competencias Lingüísticas de los Docentes de Inglés en relación a los estándares de desempeño profesional en un mundo globalizado. https://doi.org/10.5281/ZENODO.4545798
Crystal, D. (2020). English as a global language. Cambridge University Press. https://culturaldiplomacy.org/academy/pdf/research/books/nation_branding/English_As_A_Global_Language_-_David_Crystal.pdf
De Angelis, A. (2022). EF English Proficiency Index e inglés en Ecuador: Suposiciones inciertas del ranking internacional. Revista Andina de Educación, 5(2), 005211. https://doi.org/10.32719/26312816.2022.5.2.11
DeKeyser, R. (2020). Input is not a panacea. International Journal of Bilingualism, 24(1), 79-81. https://doi.org/10.1177/1367006918768371
Duong, T., & Suppasetseree, S. (2024). The Effects of an Artificial Intelligence Voice Chatbot on Improving Vietnamese Undergraduate Students’ English Speaking Skills. International Journal of Learning, Teaching and Educational Research, 23(3), 293-321. https://doi.org/10.26803/ijlter.23.3.15
Ellis, R. (2017). The Study of Second Language Acquisition. Oxford University Press.
Fathi, J., Rahimi, M., & Teo, T. (2025). Applying intelligent personal assistants to develop fluency and comprehensibility, and reduce accentedness in EFL learners: An empirical study of Google Assistant. Language Teaching Research, 13621688251317786. https://doi.org/10.1177/13621688251317786
Guo, K., & Wang, D. (2024). To resist it or to embrace it? Examining ChatGPT’s potential to support teacher feedback in EFL writing. Education and Information Technologies, 29(7), 8435-8463. https://doi.org/10.1007/s10639-023-12146-0
Huang, J., & Mizumoto, A. (2024). The effects of generative AI usage in EFL classrooms on the l2 motivational self system. Education and Information Technologies. https://doi.org/10.1007/s10639-024-13071-6
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. https://doi.org/10.1111/jcal.12610
Hwang, G.-J., Tu, Y.-F., & Chu, H.-C. (2023). Conceptions of the metaverse in higher education: A draw-a-picture analysis and surveys to investigate the perceptions of students with different motivation levels. Computers & Education, 203, 104868. https://doi.org/10.1016/j.compedu.2023.104868
Jenkins, J. (2015). Repositioning English and multilingualism in English as a Lingua Franca. Englishes in Practice, 2(3), 49-85. https://doi.org/10.1515/eip-2015-0003
Karakaş, A. (2024). Supporting the Teaching of Global Englishes Language Teaching (GELT) Through Voki. RELC Journal, 55(3), 876-880. https://doi.org/10.1177/00336882231199515
Lee, S., Jeon, J., & Choe, H. (2025). Enhancing Pre‐Service Teachers’ Global Englishes Awareness with Technology: A Focus on AI Chatbots in 3D Metaverse Environments. TESOL Quarterly, 59(1), 49-74. https://doi.org/10.1002/tesq.3300
Lenneberg, E. (1967). Biological foundations of language. Wiley.
Li, X., & Huang, C. (2025). Design of an intelligent grading system for college English translation based on big data technology. Systems and Soft Computing, 7, 200205. https://doi.org/10.1016/j.sasc.2025.200205
Lichtman, K., & VanPatten, B. (2021). Was Krashen right? Forty years later. Foreign Language Annals, 54(2), 283-305. https://doi.org/10.1111/flan.12552
Maldonado Reyes, F. B., Álvarez Ochoa, R. I., Maldonado Córdova, P. A., Cordero Cordero, G. D. R., & Capote Llanares, M. Á. (2023). METODOLOGÍA DE LA INVESTIGACIÓN: De la teoría a la práctica. PUERTO MADERO EDITORIAL. https://doi.org/10.55204/pmea.24
Meniado, J. C. (2023). Digital Language Teaching 5.0: Technologies, Trends and Competencies. RELC Journal, 54(2), 461-473. https://doi.org/10.1177/00336882231160610
Nazara, S. (2011). Students’ Perception on EFL Speaking Skill Development. JET (Journal of English Teaching), 1(1), 28. https://doi.org/10.33541/jet.v1i1.50
Richards, J. (2006). Communicative Language Teaching Today. Cambridge University Press.
Salvador Cisneros, K. A., & Oye, R. P. (2022). Improving oral communication skills of English learners with voice messages and short videos. Revista Tecnológica - ESPOL, 34(2), 154-163. https://doi.org/10.37815/rte.v34n2.888
Shi, H., Chai, C. S., Zhou, S., & Aubrey, S. (2025). Comparing the effects of ChatGPT and automated writing evaluation on students’ writing and ideal L2 writing self. Computer Assisted Language Learning, 1-28. https://doi.org/10.1080/09588221.2025.2454541
Tai, T.-Y., & Chen, H. H.-J. (2023). The impact of Google Assistant on adolescent EFL learners’ willingness to communicate. Interactive Learning Environments, 31(3), 1485-1502. https://doi.org/10.1080/10494820.2020.1841801
Tomasello, M. (2009). Why We Cooperate. The MIT Press. https://doi.org/10.7551/mitpress/8470.001.0001
Tsang, A., & Lee, K. F. K. (2024). What is Most and Least Enjoyable in the EFL Classroom? A Large-scale Inductive Qualitative Study. RELC Journal, 00336882241292090. https://doi.org/10.1177/00336882241292090
Yeo, M. A., Moorhouse, B. L., City University of Hong Kong, Wan, Y., & Hong Kong Baptist University. (2025). From Academic Text to Talk-Show: Deepening Engagement and Understanding with Google NotebookLM. Teaching English as a Second or Foreign Language--TESL-EJ, 28(4). https://doi.org/10.55593/ej.28112int
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