Students’ Perception of the Intensity on Audio Exposure in English Language Acquisition Among University

Authors

  • Sumarni Universitas 17 Agustus 1945 Samarinda, Indonesia
  • Syarifuddin Dollah Universitas Negeri Makassar, Indonesia
  • La Sunra Universitas Negeri Makassar, Indonesia

DOI:

https://doi.org/10.24256/ideas.v14i1.8402

Keywords:

Audio intensity exposure; Self-Directed Learn, Second Language Acquisition

Abstract

Language acquisition plays an important role in developing English proficiency, particularly in pronunciation and listening skills. In recent years, digital tools such as Google Translate have been increasingly used by students as a self-directed learning resource to support pronunciation practice through audio exposure. However, limited studies have examined how the intensity of audio exposure influences students’ language acquisition in autonomous learning contexts. This study therefore investigates university students’ perceptions of the intensity of audio exposure using Google Translate and its contribution to English language acquisition.  This research employed a qualitative descriptive approach involving eight third-semester students of the English Language Program at Universitas 17 Agustus 1945 Samarinda. Data were collected through structured questions using Google Forms followed by in-depth interviews conducted via Zoom. The data were analyzed thematically based on four categories: motivation and context of use, usage patterns and frequency, learning reflections and difficulties, and students’ recommendations.  The findings indicate that intensive exposure to Google Translate audio helps students improve their pronunciation and develop independent learning strategies. Students reported that repeated listening, imitation, and self-recording activities supported their confidence and pronunciation accuracy. Despite some limitations, such as the monotone voice and rapid speed of the audio, students perceived the tool as beneficial for autonomous pronunciation practice. The study highlights the importance of integrating audio-based digital tools to support self-directed language learning in higher education.

References

Agyeman, N. Y. B. (2024). Deep learning in high schools: Exploring pedagogical approaches for transformative education. HUMANIKA, 24(2), 111. https://doi.org/10.21831/hum.v24i2.71350

Ahmed, Z., Qazi, U., & Raza, M. A. (2025). Exploring the role of artificial intelligence for revolutionizing English language learning of university-level students. 4(3), 27. https://doi.org/10.63056/acad.004.03.0333

Ali, Z., Bhar, S. K., Majid, S. N. A., & Masturi, S. Z. (2025). Exploring student beliefs: Does interaction with AI language tools correlate with perceived English learning improvements? Education Sciences, 15(5), 522. https://doi.org/10.3390/educsci15050522

Amin, E. A.-R. (2024). EFL students’ perception of using AI text-to-speech apps in learning pronunciation. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4746800

Azman, M., Mohadih, N. B. M., Azhar, N. B. B. K., Farizan, M. A. B. A., Radzi, N. A. B. M., & Manap, M. R. (2025). The impact of artificial intelligence on language learners’ critical thinking skills, language learning, and academic integrity. International Journal of Research and Innovation in Social Science, 9(24), 817. https://doi.org/10.47772/ijriss.2025.924ileiid0089

Balla, F. R. C., & Ramírez, E. A. V. (2025). Redefining speaking practice through ChatGPT’s voice conversation: Towards autonomous and personalized practice. Pacha Revista de Estudios Contemporáneos del Sur Global, 6(18). https://doi.org/10.46652/pacha.v6i18.430

Darwin, D., Rusdin, D., Mukminatien, N., Suryati, N., Laksmi, E. D., & Marzuki, M. (2023). Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations. Cogent Education, 11(1). https://doi.org/10.1080/2331186x.2023.2290342

Dennis, N. K. (2024). Using AI-powered speech recognition technology to improve English pronunciation and speaking skills. IAFOR Journal of Education, 12(2), 107. https://doi.org/10.22492/ije.12.2.05

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

Du, X., Dû, M. L., Zhou, Z., & Bai, Y. (2025). Facilitator or hindrance? The impact of AI on university students’ higher-order thinking skills in complex problem solving. International Journal of Educational Technology in Higher Education, 22(1). https://doi.org/10.1186/s41239-025-00534-0

Fattah, H. A., Vadivel, B., Shaban, A. A., & Shanmugam, K. (2023). Enhancing English language education: The impact of AI integration in the classroom. Journal of Humanities and Education Development, 5(6), 116. https://doi.org/10.22161/jhed.5.6.15

Firdaus, T., Sholeha, S. A., Jannah, M., & Setiawan, A. R. (2024). Comparison of ChatGPT and Gemini AI in answering higher-order thinking skill biology questions: Accuracy and evaluation. https://doi.org/10.14456/ijset.2024.11

Goorts, L., Hollevoet, R., Xia, V., Cammaerts, F., & Güngör, A. (2025). How do LLMs perform in the context of MCQs across different levels of thinking skills in a business education course at higher education? Computers and Education Artificial Intelligence, 100475. https://doi.org/10.1016/j.caeai.2025.100475

Joseph, S. (2023). Large language model-based tools in language teaching to develop critical thinking and sustainable cognitive structures. Rupkatha Journal on Interdisciplinary Studies in Humanities, 15(4). https://doi.org/10.21659/rupkatha.v15n4.13

Kim, J., Yu, S., Detrick, R., & Li, N. (2024). Exploring students’ perspectives on generative AI-assisted academic writing. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12878-7

Kruk, M., & Kałużna, A. (2024). Investigating the role of AI tools in enhancing translation skills, emotional experiences, and motivation in L2 learning. European Journal of Education. https://doi.org/10.1111/ejed.12859

Mardiana, N., Maulina, B., Mardiani, N., Sabar, S., & Collantes, L. M. (2025). Enhancing critical thinking skills through Android-assisted virtual physics learning: A focus on HOTS development. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 9(2), 513. https://doi.org/10.22437/jiituj.v9i2.34373

Nghi, T. T., & Tran, H. P. (2023). Exploring the role of ChatGPT in developing critical digital literacies in language learning: A qualitative study. Proceedings of the AsiaCALL International Conference, 4, 1. https://doi.org/10.54855/paic.2341

Nguyen, H. A. (2024). Harnessing AI-based tools for enhancing English speaking proficiency: Impacts, challenges, and long-term engagement. International Journal of AI in Language Education, 1(2), 18. https://doi.org/10.54855/ijaile.24122

Owais, A., & Taym, A. (2025). Exploring teacher perspectives on the effectiveness of AI tools in enhancing students’ engagement in English language learning. The International Journal of Humanities Education, 23(2), 1. https://doi.org/10.18848/2327-0063/cgp/v23i02/1-16

Rizkiani, S., Maulana, A., Resmini, S., & Satriani, I. (2025). Examining the use of AI tools in academic writing: Effects on the critical thinking skills of EFL learners. JELA (Journal of English Language Teaching Literature and Applied Linguistics), 6(2), 111. https://doi.org/10.37742/jela.v6i2.155

Sayed, B. T., Younes, Z. B. B., Alkhayyat, A., Adhamova, I., & Teferi, H. (2024). To be with artificial intelligence in oral test or not to be: A probe into the traces of success in speaking skill, psychological well-being, autonomy, and academic buoyancy. Language Testing in Asia, 14(1). https://doi.org/10.1186/s40468-024-00321-0

Song, D., Zhang, P., Zhu, Y., Qi, S., Yang, Y., Gong, L., & Zhou, L. (2025). Effects of generative artificial intelligence on higher-order thinking skills and artificial intelligence literacy in nursing undergraduates: A quasi-experimental study. Nurse Education in Practice, 88, 104549. https://doi.org/10.1016/j.nepr.2025.104549

Turmuzi, A. (2025). Pendekatan deep learning untuk menciptakan pengalaman belajar yang bermakna.

Uwosomah, E. E., & Dooly, M. (2025). It is not the huge enemy: Preservice teachers’ evolving perspectives on AI. Education Sciences, 15(2), 152. https://doi.org/10.3390/educsci15020152

Vornachev, A., Kushmar, L., Hrachova, I., & Nikolska, N. (2024). Is artificial intelligence a utopia or the future of foreign language learning. Arab World English Journal, 10, 70. https://doi.org/10.24093/awej/call10.6

Wang, T., & Xue, B. (2024). The role of GenAI in EFL: Impact on learning motivation and outcome. Research Square. https://doi.org/10.21203/rs.3.rs-5144171/v1

Xiao, Y. (2025). The impact of AI-driven speech recognition on EFL listening comprehension, flow experience, and anxiety: A randomized controlled trial. Humanities and Social Sciences Communications, 12(1). https://doi.org/10.1057/s41599-025-04672-8

Xu, Q. (2024). Action research plan: The impact of the use of artificial intelligence in education on the cognitive abilities of university students. Research Square. https://doi.org/10.21203/rs.3.rs-4981281/v1

Yi, M., & Chen, M. (2024). AI-empowered applications effects on EFL learners’ engagement in the classroom and academic procrastination. BMC Psychology, 12(1). https://doi.org/10.1186/s40359-024-02248-w

Zaim, M., Arsyad, S., Waluyo, B., Ardi, H., Hafizh, M. A., Zakiyah, M., Syafitri, W., Nusi, A., & Hardiah, M. (2025). Generative AI as a cognitive co-pilot in English language learning in higher education. Education Sciences, 15(6), 686. https://doi.org/10.3390/educsci15060686

Zakaria, N. Y. K., Hashim, H., & Jamaludin, K. A. (2025). Exploring the impact of AI on critical thinking development in ESL: A systematic literature review. Arab World English Journal, 1, 330. https://doi.org/10.24093/awej/ai.19

Zhai, Y., & Nezakatgoo, B. (2025). Evaluating AI-powered applications for enhancing undergraduate students’ metacognitive strategies, self-determined motivation, and social learning in English language education. Scientific Reports, 15(1), 35199. https://doi.org/10.1038/s41598-025-19118-z

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Published

2026-03-18

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