STUDENT'S PERCEPTIONS TOWARDS PRONUNCIATION FEEDBACKS IN ENGLISH SPEAKING ACTIVITY THROUGH ELSASPEAK TASK
DOI:
https://doi.org/10.51878/learning.v6i2.9270Keywords:
autonomous learning, CAPT, ELSA Speak, pronunciation feedback, student perceptionAbstract
English pronunciation is essential for effective oral communication, yet it remains a persistent challenge for Indonesian junior high school students, particularly in terms of accuracy and speaking confidence. Recent advances in artificial intelligence, especially Computer-Assisted Pronunciation Training (CAPT), have introduced new opportunities for providing immediate and personalized pronunciation feedback. This descriptive qualitative study explored ninth-grade students’ perceptions of pronunciation feedback provided by the ELSA Speak application and examined the reasons underlying these perceptions. The study was conducted at SMPN 6 Garut and involved 34 ninth-grade students selected through purposive sampling. Data were collected through weekly reflective journals, classroom observations during pronunciation practice, and documentation of pronunciation scores generated by the application. The data were analyzed using thematic analysis to identify recurring patterns in students’ experiences. The findings reveal a clear polarization in students’ perceptions. Some students benefited from ELSA Speak due to its safe practice environment, visual feedback, and support for autonomous learning, while others experienced technical frustration, limited articulatory explanations, and digital fatigue caused by repetitive practice and reduced human interaction. The study concludes that ELSA Speak is not a one-size-fits-all solution and is most effective when used as a supplementary tool supported by teacher guidance. Further research is recommended to examine the role of teacher mediation and long-term use of AI-based pronunciation tools in diverse learning contexts.
ABSTRAK
Pelafalan bahasa Inggris merupakan aspek penting dalam komunikasi lisan, namun masih menjadi tantangan bagi siswa sekolah menengah pertama di Indonesia, terutama terkait ketepatan fonologis dan kepercayaan diri berbicara. Perkembangan teknologi kecerdasan buatan, khususnya Computer-Assisted Pronunciation Training (CAPT), menawarkan peluang baru melalui penyediaan umpan balik pelafalan yang bersifat langsung dan personal. Penelitian kualitatif deskriptif ini bertujuan untuk mengeksplorasi persepsi siswa kelas IX terhadap umpan balik pelafalan yang diberikan oleh aplikasi ELSA Speak serta mengidentifikasi alasan di balik persepsi tersebut. Penelitian ini dilaksanakan di SMPN 6 Garut dengan melibatkan 34 siswa kelas IX yang dipilih melalui teknik purposive sampling. Data dikumpulkan melalui jurnal reflektif mingguan, observasi kelas selama latihan pelafalan, serta dokumentasi skor pelafalan dari aplikasi. Data dianalisis menggunakan teknik analisis tematik untuk mengidentifikasi pola pengalaman siswa. Hasil penelitian menunjukkan adanya polarisasi persepsi siswa. Sebagian siswa merasakan manfaat dari ELSA Speak karena lingkungan latihan yang aman, umpan balik visual yang jelas, dan dukungan terhadap pembelajaran mandiri. Sebaliknya, siswa lain mengalami frustrasi teknis, keterbatasan penjelasan artikulatoris, serta kelelahan digital akibat latihan yang repetitif dan minim interaksi manusia. Penelitian ini menyimpulkan bahwa ELSA Speak bukan solusi tunggal pembelajaran pelafalan dan lebih efektif digunakan sebagai alat pendukung dengan bimbingan guru. Penelitian selanjutnya disarankan untuk mengkaji peran mediasi guru dan penggunaan jangka panjang teknologi CAPT dalam konteks pembelajaran yang beragam.
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References
AbuSahyon, A. S. 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. https://doi.org/10.15379/ijmst.v10i1.2829
Al-khresheh, M. H. (2024). Phonetic challenges in English: The impact of mispronunciation of the bilabial plosive/p/on communication among Saudi EFL learners. Cogent Arts & Humanities, 11(1), 2390777. https://doi.org/10.1080/23311983.2024.2390777
Am, Asriati., Haryono, urwo, Karimuddin, Judijanto, L., Fatubun, R. R., Purwaningsih, N. K., & Kristanto. (2025). Applied linguistics. https://www.google.co.id/books/edition/Applied_Linguistics/VBacEQAAQBAJ?hl=id&gbpv=1&dq=AIBased+Pronunciation+Feedback+(CAPT+/+ELSA+Speak)&pg=PA82&printsec=frontcover
Amrate, M., & Tsai, P. (2025). Computer-assisted pronunciation training: A systematic review. ReCALL, 37(1), 22–42. https://doi.org/10.1017/S0958344024000181
Braun, V., & Clarke, V. (2024). Supporting best practice in reflexive thematic analysis reporting in Palliative Medicine: A review of published research and introduction to the Reflexive Thematic Analysis Reporting Guidelines (RTARG). Palliative Medicine, 38(6), 608–616. https://doi.org/10.1177/02692163241234800
Chen, Y., & Zhao, S. (2022). Understanding Chinese EFL learners’ acceptance of gamified vocabulary learning apps: An integration of self-determination theory and technology acceptance model. Sustainability, 14(18), 11288. https://doi.org/10.3390/su141811288
Desky, R. A., Fatmawati, S. N., Kastur, A., Mustain, M., Julianto, J., & Rukmi, A. S. (2025). Strategi dan tantangan pengembangan berpikir reflektif dalam pembelajaran IPA sekolah dasar. DIDAKTIKA: Jurnal Pemikiran Pendidikan, 31(2), 366–379. https://doi.org/10.30587/didaktika.v31i2.9845
Fatimah, S., Salsabila, D., Karim, U. A. A., & Nazhif, M. A. (2024). Eksplorasi pandangan siswa terhadap penggunaan teknologi dalam proses pembelajaran di era digital. Edukasi Elita: Jurnal Inovasi Pendidikan. https://journal.lpkd.or.id/index.php/Edukasi/article/view/290
Ginting, D. A., & Hina, S. (2025). Integrating conversational AI tools to enhance pronunciation, listening skills, and learner autonomy in second language education. Global Education International Journal of Educational Sciences and Languages, 2(3), 35. https://doi.org/10.70062/globaleducation.v2i3.265
Godwin?Jones, R. (2024). Distributed agency in second language learning and teaching through generative AI. arXiv. https://doi.org/10.48550/arxiv.2403.20216
Han, Y., Yang, S., Han, S., He, W., Bao, S., & Kong, J. (2025). Exploring the relationship among technology acceptance, learner engagement and critical thinking in the Chinese college-level EFL context. Education and Information Technologies, 30(11), 14761–14784. https://doi.org/10.1007/s10639-025-13375-1
Harahap, G. R., Wahyuni, D., Sarahseti, D. F., & Lubis, Y. (2025). A psycholinguistic analysis of students’ speaking difficulties in English as a foreign language classroom. MUDABBIR Journal Research and Education Studies, 5(2), 3217–3225. https://doi.org/10.56832/mudabbir.v5i2.1900
Hasumi, T., & Chiu, M.-S. (2024). Technology-enhanced language learning in English language education: Performance analysis, core publications, and emerging trends. Cogent Education, 11(1), 2346044. https://doi.org/10.1080/2331186X.2024.2346044
Hsu, H.-T., & Lin, C.-C. (2022). Extending the technology acceptance model of college learners’ mobile-assisted language learning by incorporating psychological constructs. British Journal of Educational Technology, 53(2), 286–306. https://doi.org/10.1111/bjet.13165
Huynh, Q. Q. (2024). A literature review on EFL students’ integration of AI-based tools in English learning and the perceived impact on autonomy. International Journal of AI in Language Education, 1(2), 30. https://doi.org/10.54855/ijaile.24123
Jiang, R. (2022). How does artificial intelligence empower EFL teaching and learning nowadays? A review on artificial intelligence in the EFL context. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1049401
Judijanto, L., Wibowo, G. A., Karimuddin, K., Samsuddin, H., Patahuddin, A., Anggraeni, A. F., Raharjo, R., & Simorangkir, F. M. A. (2024). Research design: Pendekatan kualitatif dan kuantitatif. PT. Sonpedia Publishing Indonesia.
Karimah, S. A. (2025). Global trends of segmental phonemes assessment in EFL: A systematic literature review. SENTRI: Jurnal Riset Ilmiah, 4(11), 3340–3353. https://doi.org/10.55681/sentri.v4i11.4873
Khuhro, N. (2024). Study of classroom climate, student engagement, self-efficacy and learning experiences: An analyses employing social cognitive theory. Academy of Education and Social Sciences Review, 4(1), 118–126. https://doi.org/10.48112/aessr.v4i1.722
Lee, S.-M. (2022). A systematic review of context-aware technology use in foreign language learning. Computer Assisted Language Learning, 35(3), 294–318. https://doi.org/10.1080/09588221.2019.1688836
Li, I. W., Jackson, D., & Koshy, P. (2025). Student’s reported satisfaction at university: The role of personal characteristics and secondary school background. Higher Education, 89(6), 1513–1531. https://doi.org/10.1007/s10734-024-01286-y
Liunokas, Y. (2025). The effectiveness of the Elsa speak application in enhancing speaking skills among students at university. IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature, 13(2), 8221–8235. https://doi.org/10.24256/ideas.v13i2.6955
Maulida, N. S. S., Happy, N., & Sugiyono, E. (2024). Analisis kemampuan berpikir reflektif dalam menyelesaikan masalah ditinjau dari gaya belajar siswa. Didaktik: Jurnal Ilmiah PGSD STKIP Subang, 10(2), 677–687. https://doi.org/10.36989/didaktik.v10i2.2854
Mohammadkarimi, E. (2024). Exploring the use of artificial intelligence in promoting English language pronunciation skills. LLT Journal: A Journal on Language and Language Teaching, 27(1), 98. https://doi.org/10.24071/llt.v27i1.8151
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
Pham, V. T. T., & Pham, A. T. (2025a). English major students’ satisfaction with ELSA Speak in English pronunciation courses. PLOS ONE, 20(1), e0317378. https://doi.org/10.1371/journal.pone.0317378
Pham, V. T. T., & Pham, A. T. (2025b). English major students’ satisfaction with ELSA Speak in English pronunciation courses. PLOS ONE, 20(1), e0317378. https://doi.org/10.1371/journal.pone.0317378
Praveena, T. L., & Anupama, K. (2025). Machine learning meets language learning: The transformative potential of artificial intelligence in English language instruction. Journal Human Research in Rehabilitation, 15(1), 133. https://doi.org/10.21554/hrr.042511
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. https://doi.org/10.3389/fpsyg.2023.1255594
Qutub, H. (2023). The role of pronunciation-focused corrective feedback in learning second language pronunciation. Journal for Educators Teachers and Trainers, 14(6). https://doi.org/10.47750/jett.2023.14.06.010
Rosalina, A. (2025). The utilization of the ELSA speak application as a learning medium to improve pronunciation and English speaking skills among students. Journal of Education Science, 11(2), 72–81. https://doi.org/10.33143/jes.v11i2.5428
Sariani, S., Miladiyenti, F., Rozi, F., Haslina, W., & Marzuki, D. (2022). Incorporating mobile-based artificial intelligence to English pronunciation learning in tertiary-level students: Developing autonomous learning. International Journal of Advanced Science Computing and Engineering, 4(3), 220. https://doi.org/10.30630/ijasce.4.3.92
Tsang, A. (2025). The relationships between EFL learners’ anxiety in oral presentations, self-perceived pronunciation, and speaking proficiency. Language Teaching Research, 29(4), 1639–1659. https://doi.org/10.1177/13621688221102522
Wang, Y. (2025). Reducing anxiety, promoting enjoyment and enhancing overall English proficiency: The impact of AI-assisted language learning in Chinese EFL contexts. British Educational Research Journal. https://doi.org/10.1002/berj.4187
Woreta, G. T., Zewude, G. T., & Józsa, K. (2025). The mediating role of self-efficacy and outcome expectations in the relationship between peer context and academic engagement: A social cognitive theory perspective. Behavioral Sciences, 15(5), 681. https://doi.org/10.3390/bs15050681
Xodabande, I., Shiri, S., & Zohrabi, M. (2025). Exploring the impacts of an AI-driven instructional intervention on Iranian EFL learners’ pronunciation skill development. Discover Education, 4(1). https://doi.org/10.1007/s44217-025-00782-2
Yang, J. C., & Chung, C.-J. (2025). Effects of anxiety levels on English pronunciation learning in digital game-based learning. International Journal of Human–Computer Interaction, 0(0), 1–18. https://doi.org/10.1080/10447318.2025.2539457
Zhang, Y. (2022). The effect of educational technology on EFL learners’ self-efficacy. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.881301
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