A Systematic Review on Artificial Intelligence Applications for Enhancing EFL Students’ Pronunciation Skill
Keywords:
Artificial Intelligence, EFL, Pronunciation, Systematic ReviewAbstract
This systematic literature review examines the impact of AI applications, including ELAi app, ELSA Speak, and Lyra Virtual Assistant, on the pronunciation skills of English as a Foreign Language (EFL) students. By analyzing ten relevant articles published between 2018 and 2023, this review identifies the unique features and effects of these AI tools. ELAi app emphasizes spontaneous speech and topic development, offering comprehensive feedback. ELSA Speak accurately detects pronunciation errors and provides a wide range of lessons. Lyra Virtual Assistant acts as a conversational companion, supporting speaking abilities. The findings reveal that these AI applications have a positive influence on EFL students' pronunciation development, as evidenced by empirical research. Further recommendations for future research in the integration of AI in EFL education is enhancing personalization through AI tools that adapt to individual students' learning styles and needs. In summary, utilizing AI technology can empower EFL students to improve their pronunciation proficiency and enhance their overall English language learning experience.
Downloads
References
Ai, R. (2015). Automatic pronunciation error detection and feedback generation for CALL applications. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9192, 175–186. https://doi.org/10.1007/978-3-319-20609-7_17
Anggraini, A. (2022). Improving students’ pronunciation skill using Elsa Speak application. Journey: Journal of English Language and Pedagogy, 5(1), 135–141. https://doi.org/10.33503/journey.v5i1.1840
Bashori, M., van Hout, R., Strik, H., & Cucchiarini, C. (2024). I Can Speak: Improving English pronunciation through automatic speech recognition-based language learning systems. Innovation in Language Learning and Teaching, 1–19. https://doi.org/10.1080/17501229.2024.2315101
Becker, K., & Edalatishams, I. (2019). ELSA Speak – Accent Reduction [Review]. In J. Levis, C. Nagle, & E. Todey (Eds.), Proceedings of the 10th Pronunciation in Second Language Learning and Teaching Conference, ISSN 2380-9566, Ames, IA, September 2018 (pp. 434-438). Ames, IA: Iowa State University.
Cai, Y. (2023). The application of automatic speech recognition technology in English as foreign language pronunciation learning. Atlantis Press SARL. https://doi.org/10.2991/978-2-38476-068-8_44
Elimat, A. K., & AbuSeileek, A. F. (2014). Automatic speech recognition technology as an effective means for teaching pronunciation. The JALT CALL Journal, 10(1), 21–47. https://doi.org/10.29140/jaltcall.v10n1.166
Ghafar, Z. N., Salh, H. F., Abdulrahim, M. A., Farxha, S. S., &. (2023). The role of artificial intelligence technology on English language learning: A literature review. Canadian Journal of Language and Literature Studies, 3(2). https://doi.org/10.53103/cjlls.v3i2.87
Humardhiana, A. (2022). Ai-powered apps to enhance novice Bewsreaders’ English Pronunciation. ELT Echo: The Journal of English Language Teaching in Foreign Language Context, 7(2), 214-223. https://doi.org/10.24235/eltecho.v7i2.12503
Junaidi, Hamuddin, B., Julita, K., Rahman, F., & Derin,T. (2020). Artificial Intelligence in EFL Context: Rising Students’ Speaking Performance with Lyra Virtual Assistance. International Journal of Advanced Science and Technology, 29(05), 6735 - 6741. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/17726
Lehman, B., Gu, L., Zhao, J., Tsuprun, E., Kurzum, C., Schiano, M., Liu, Y., & Tanner Jackson, G. (2020). Use of adaptive feedback in an app for English language spontaneous speech. Artificial Intelligence in Education: 21st International Conference, 309–320. https://doi.org/10.1007/978-3-030-52237-7_25
Liu, Y., & Quan, Q. (2022). AI recognition method of pronunciation errors in oral English speech with the help of big data for personalized learning. Journal of Information & Knowledge Management, 21(Supp02), 2240028. https://doi.org/10.1142/S0219649222400287
Marjun, A., Sa, L., & Kapuas Sintang, U. (2022). The effect of using Elsa Speak application for students’ pronunciation at SMK Kesehatan f Kapuas Raya Sintang. Edumedia: Jurnal Keguruan dan Ilmu Pendidikan, 6(2), 41-46 https://doi.org/10.51826/edumedia.v6i2.665
Noviyanti, S. D. (2020). Artificial intelligence (AI)-based pronunciation checker: An alternative for independent learning in pandemic situation. ELT Echo: The Journal of English Language Teaching in Foreign Language Context, 5(2), 162-169. https://doi.org/10.24235/eltecho.v5i2.7246
Pennington, M.C., Rogerson-Revell, P. (2019). Using technology for pronunciation teaching, learning, and assessment. In Research and practice in applied linguistics. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-137-47677-7_5
Qiao, H., & Zhao, A. (2023). Artificial intelligence-based language learning: illuminating the impact on speaking skills and self-regulation in Chinese EFL context. Frontiers in Psychology, 14(November). https://doi.org/10.3389/fpsyg.2023.1255594
Shazly, R. El. (2021). Effects of artificial intelligence on English speaking anxiety and speaking performance: A case study. Expert Systems. https://doi.org/10.1111/exsy.12667
Shemshack, A., & Spector, J. M. (2020). A systematic literature review of personalized learning terms. Smart Learning Environments, 7(1), 33. https://doi.org/10.1186/s40561-020-00140-9
Sun, W. (2023). The impact of automatic speech recognition technology on second language pronunciation and speaking skills of EFL learners: a mixed methods investigation. Frontiers in Psychology, 14(August). https://doi.org/10.3389/fpsyg.2023.1210187
Terzopoulos, G., & Satratzemi, M. (2020). Voice assistants and smart speakers in everyday life and in education. Informatics in Education, 19(3), 473–490. https://doi.org/10.15388/infedu.2020.21
Utami, I. A., & Lintangsari, A. P. (2021). English phonology for language learners: Exploring learners’ preferences. International Journal of Humanity Studies (IJHS), 4(2), 247–255. https://doi.org/10.24071/ijhs.v4i2.3234
Utami, N., & Santosa, M. (2023). Using VoiceThread to develop the speaking skills of EFL learners: A systematic literature review. Jurnal Inovasi dan Teknologi Pembelajaran, 10(1), 83-91. http://dx.doi.org/10.17977/um031v10i12023p083
Zakiyyah, F., Setyaji, A., & Ardini, S. N. (2022). The Analysis of Pronunciation Application Based on the Concept of Artificial Intelligence. Conference on Language, 2(1), 559-569. http://publikasi.dinus.ac.id/index.php/unclle/article/view/6025
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), 2872. https://doi.org/10.3390/su15042872
Zou, B., Liviero, S., Hao, M., & Wei, C. (2020). Artificial intelligence technology for EAP Speaking Skills: Student Perceptions of Opportunities and Challenges. In New language learning and teaching environment (pp. 433–463). Springer. https://doi.org/10.1007/978-3-030-34212-8_17
Published
How to Cite
Issue
Section
Copyright (c) 2024 Risma Dwi Aryanti, Made Hery Santosa
![Creative Commons License](http://i.creativecommons.org/l/by-sa/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.