ListenToFy: Edtech Development Based on the Chatgpt-Voxbox Model for Transforming Listening Skills
Authors
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Fatma Yuniarti
Universitas Muhammadiyah Pringsewu Lampung
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Seftika Seftika
Universitas Muhammadiyah Pringsewu Lampung
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Yasmika Baihaqi
Universitas Muhammadiyah Pringsewu Lampung
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Dani Anggoro
Universitas Muhammadiyah Pringsewu Lampung
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Muhammad Dzul Fikri
Universitas Muhammadiyah Pringsewu Lampung
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Muhammad Hidayah Alfiro
Universitas Muhammadiyah Pringsewu Lampung
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Fawwaz Rafi Irfansyah
Universitas Muhammadiyah Pringsewu Lampung
DOI:
https://doi.org/10.36312/jolls.v6i2.4932Keywords:
Artificial intelligence, EdTech development, Listening skills, VoxboxAbstract
Listening comprehension remains a critical yet persistently underdeveloped skill in English as a Foreign Language (EFL) higher education, particularly in Indonesian universities where authentic materials, native speaker input, and personalized learning pathways are severely limited. Despite growing interest in AI-assisted language learning, few studies have translated proof-of-concept AI integrations into scalable, pedagogically grounded mobile applications. This study aimed to develop, validate, and implement ListenToFy, a mobile EdTech application that integrates ChatGPT for adaptive content generation and VoxBox Text-to-Speech for authentic, native speaker audio, to transform Advanced Listening instruction. Employing a Research and Development (R&D) design using the ADDIE model, the study was conducted across two Muhammadiyah universities in Indonesia involving 34 EFL students and two lecturers. Expert validation yielded an overall score of 85.7%, indicating high validity. Usability testing produced a System Usability Scale score of 82.1, classified as Excellent. Pre- and post-test results demonstrated statistically significant listening comprehension gains (mean gain: +14.0 points; p < .001; Cohen’s d = 0.79–0.84), and qualitative interviews identified four key themes: authentic audio experience, personalized learning pathways, instructor empowerment, and technology integration challenges. ListenToFy represents a replicable, dual-AI EdTech model that meaningfully advances listening instruction reform in Indonesian and comparable Southeast Asian EFL higher education contexts.
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Akbar, S. (2013). Instrumen perangkat pembelajaran. PT Remaja Rosdakarya.
Alrasheedi, S., & Capretz, L. F. (2023). Toward a learner-centered model for AI-enhanced instructional design in higher education. Education and Information Technologies, 28(4), 3891–3912. https://doi.org/10.1007/s10639-022-11354-4
Bozkurt, A., Karadeniz, A., & Koçdar, S. (2023). Instructor dashboards and learning analytics in adaptive educational environments: A systematic review. British Journal of Educational Technology, 54(2), 412–431. https://doi.org/10.1111/bjet.13278
Branch, R. M. (2009). Instructional design: The ADDIE approach. Springer.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Brooke, J. (1996). SUS: A quick and dirty usability scale. In P. W. Jordan, B. Thomas, B. A. Weerdmeester, & A. L. McClelland (Eds.), Usability evaluation in industry (pp. 189–194). Taylor & Francis.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
Creswell, J. W., & Guetterman, T. C. (2021). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (6th ed.). Pearson.
Crompton, H., & Burke, D. (2023). Mobile learning and student outcomes: A systematic meta-analysis. Journal of Research on Technology in Education, 55(3), 365–382. https://doi.org/10.1080/15391523.2021.1965522
Godwin-Jones, R. (2022). Challenges and opportunities for language learning in the digital age: Intelligent systems, generative AI, and the evolving role of the language teacher. Language Learning & Technology, 26(2), 1–19. https://doi.org/10.10125/73483
Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572–2593. https://doi.org/10.1111/bjet.12864
International Organization for Standardization. (2019). ISO 9241-210:2019 Ergonomics of human-system interaction—Part 210: Human-centred design for interactive systems.
Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Suman, R. (2023). Unlocking the opportunities through ChatGPT tool towards ameliorating the education system. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 3(2), 100115. https://doi.org/10.1016/j.tbench.2023.100115
Jia, J., Chen, Y., & Xu, Z. (2022). AI-powered personalized learning in language education: Curriculum alignment and adaptive content generation. Computers & Education: Artificial Intelligence, 3, 100062. https://doi.org/10.1016/j.caeai.2022.100062
Kim, J., & King, S. (2023). Neural text-to-speech for language learning: Prosodic authenticity and learner perception. Speech Communication, 148, 1–14. https://doi.org/10.1016/j.specom.2023.01.002
Kim, N., Kim, M., & Lee, J. (2021). AI chatbot-assisted speaking practice: Learner perceptions and performance outcomes in EFL contexts. ReCALL, 33(3), 312–328. https://doi.org/10.1017/S0958344021000124
Kukulska-Hulme, A., & Shield, L. (2008). An overview of mobile assisted language learning: From content delivery to supported collaboration and interaction. ReCALL, 20(3), 271–289. https://doi.org/10.1017/S0958344008000335
Kukulska-Hulme, A., & Viberg, O. (2022). Mobile collaborative language learning: State of the art. British Journal of Educational Technology, 49(2), 207–218. https://doi.org/10.1111/bjet.12580
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
Mali, Y. C. G. (2016). EFL students’ perceptions on their self-directed learning using internet, mobile phone, and social media. TEFLIN Journal, 27(2), 186–209. https://doi.org/10.15639/teflinjournal.v27i2/186-209
Martin, F., & Ndoye, A. (2022). Using learning analytics to assess student learning in online courses. Journal of University Teaching and Online Learning, 19(1), 167–186. https://doi.org/10.24059/olj.v20i2.790
Mayer, R. E. (2021). Multimedia learning (3rd ed.). Cambridge University Press.
McKenney, S., & Reeves, T. C. (2012). Conducting educational design research. Routledge.
Richey, R. C., & Klein, J. D. (2007). Design and development research: Methods, strategies, and issues. Lawrence Erlbaum Associates.
Sari, F. M., & Wahyudin, A. Y. (2022). Podcast-based listening instruction in Indonesian EFL classrooms: Learner engagement and comprehension outcomes. IJEE (Indonesian Journal of English Education), 9(1), 45–62. https://doi.org/10.15408/ijee.v9i1.23487
Sauro, J. (2011). A practical guide to the System Usability Scale: Background, benchmarks, and best practices. Measuring Usability LLC.
Trisno, T., Emzir, E., & Mayuni, I. (2019). Listening comprehension problems of EFL university students: A needs analysis study. Journal on English as a Foreign Language, 9(2), 168–188. https://doi.org/10.23971/jefl.v9i2.1327
Tzirides, A. O., Fink, J., & Specht, M. (2023). Text-to-speech in language learning environments: Prosodic features, learner perception, and pedagogical design considerations. Language Learning & Technology, 27(1), 44–63. https://doi.org/10.10125/73506
Vandergrift, L., & Goh, C. C. M. (2018). Teaching and learning second language listening: Metacognition in action (2nd ed.). Routledge.
Yuniarti, F., Wulandari, F., & Rakhmawati, D. (2024). Personalized listening practice: Integrating AI (ChatGPT) and VoxBox native speaker input in language learning. INOVISH Journal, 9(2), 112–128.
Zou, B., Li, J., & Li, M. (2023). AI-assisted vocabulary learning in EFL contexts: Tool design, pedagogical integration, and learner outcomes. Computer Assisted Language Learning, 36(4), 701–728. https://doi.org/10.1080/09588221.2021.1999913
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Copyright (c) 2026 Fatma Yuniarti, Seftika Seftika, Yasmika Baihaqi, Dani Anggoro, Muhammad Dzul Fikri, Muhammad Hidayah Alfiro, Fawwaz Rafi Irfansyah
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