An Acoustic Analysis of Student-Produced Speech in Speed Reading Using a Teleprompter at Al Azhar 3 Senior High School Bandar Lampung

Hamelia Qomara Dewi, Susanto Susanto, Deri Sis Nanda

Abstract


This study investigates the acoustic differences in student-produced voice during speed reading with and without a teleprompter in an English as a Foreign Language (EFL) context. The research aims to examine how teleprompter-assisted reading affects fluency, prosody, and pronunciation. A quasi-experimental quantitative design was conducted with 30 senior high school students who were members of the English Club at SMA Al Azhar 3 Bandar Lampung. Each participant performed three reading tasks: without a teleprompter, with a teleprompter at 1% speed, and with a teleprompter at 50% speed. Recordings were analyzed using Praat software to measure pitch, intensity, duration, and pronunciation errors. The findings showed no significant differences in pitch and intensity (p > .05). However, reading duration was significantly longer at 1% speed (p < .05), indicating more deliberate articulation. Descriptive results also revealed fewer pronunciation errors at 1% speed than at 50% speed. These findings suggest that adjusting teleprompter speed can optimize speech clarity, making teleprompters a valuable tool for improving EFL learners’ fluency and accuracy in public speaking training.


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References


Behr, N. S. (2022). English Diphthong Characteristics Produced by Thai EFL Learners: Individual Practice Using PRAAT. In Computer Assisted Language Learning Electronic Journal (CALL-EJ) (Vol. 23, Issue 1).

Boersma, P., Weenink, D. J. M., & Van Heuven, V. (2014). PRAAT, a system for doing phonetics by computer Speak and unSpeak with PRAAT RAAT. https://www.researchgate.net/publication/208032992

Budiarto, M. K., Gunarhadi, G., & Rahman, A. (2024). Technology in education through mobile learning application (MLA) and its impact on learning outcomes: Literature review. Journal of Education and Learning, 18(2), 413–420. https://doi.org/10.11591/edulearn.v18i2.20976

Chung, W.-L., & Bidelman, G. M. (2022). Acoustic Features of Oral Reading Prosody and the Relation With Reading Fluency and Reading Comprehension in Taiwanese Children. Journal of Speech, Language, and Hearing Research, 65(1), 334–343. https://doi.org/10.1044/2021_JSLHR-21-00252

Criollo-C, S., Guerrero-Arias, A., Jaramillo-Alcázar, Á., & Luján-Mora, S. (2021). Mobile learning technologies for education: Benefits and pending issues. Applied Sciences (Switzerland), 11(9). https://doi.org/10.3390/app11094111

Darcy, I. (2016). Review of Derwing & Munro (2015): Pronunciation Fundamentals. Evidence-based perspectives for L2 teaching and research. Journal of Second Language Pronunciation, 2(2), 285–288. https://doi.org/10.1075/jslp.2.2.09dar

Duong, T. Van. (2022). The Effects of using Online Text-To Speech Tools on EFL Students’ Perceptions in Learning Pronunciation. International Journal of Science and Management Studies (IJSMS), 270–276. https://doi.org/10.51386/25815946/ijsms-v5i4p129

Fouz-González, J. (2020). Using apps for pronunciation training: An empirical evaluation of the English File Pronunciation app. 24, 62–85. https://doi.org/10125/44709

Granić, A. (2022). Educational Technology Adoption: A systematic review. Education and Information Technologies, 27(7), 9725–9744. https://doi.org/10.1007/s10639-022-10951-7

Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, 275–285. https://doi.org/10.1016/j.susoc.2022.05.004

In’am, & Alatas, M. A. (2023). Media Elegant Teleprompter sebagai Alternatif Media Pembelajaran Membaca Teks Berita Siswa Kls VIII MTs Nurul Yaqin Proppo. GHANCARAN: Jurnal Pendidikan Bahasa Dan Sastra Indonesia. https://doi.org/10.19105/ghancaran.vi.11743

Kukulska‐Hulme, A., & Viberg, O. (2018). Mobile collaborative language learning: State of the art. British Journal of Educational Technology, 49(2), 207–218. https://doi.org/10.1111/bjet.12580

Lan, E.-M. (2022). A comparative study of computer and mobile-assisted pronunciation training: The case of university students in Taiwan. Education and Information Technologies, 27(2), 1559–1583. https://doi.org/10.1007/s10639-021-10647-4

Metruk, R. (2024). Mobile-assisted language learning and pronunciation instruction: A systematic literature review. Education and Information Technologies, 29(13), 16255–16282. https://doi.org/10.1007/s10639-024-12453-0

Montgomery, M., & Shen, J. (2017). Direct address and television news-reading: Discourse, technology and changing cultural form in Chinese and western TV news. Discourse, Context & Media, 17, 30–41. https://doi.org/10.1016/j.dcm.2017.03.004

Napitupulu, M. H., Wisrance, M. W., & Semiun, T. T. (2025). The Impact of Technology-Based Teaching Methods on English Speaking Skills in Rural Secondary Schools. Jo-ELT (Journal of English Language Teaching) Fakultas Pendidikan Bahasa & Seni Prodi Pendidikan Bahasa Inggris IKIP, 12(1), 271. https://doi.org/10.33394/jo-elt.v12i1.15388

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. https://doi.org/10.3389/fpsyg.2023.1210187

Timotheou, S., Miliou, O., Dimitriadis, Y., Sobrino, S. V., Giannoutsou, N., Cachia, R., Monés, A. M., & Ioannou, A. (2023). Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review. Education and Information Technologies, 28(6), 6695–6726. https://doi.org/10.1007/s10639-022-11431-8

Yi-Chao Jiang, M., Siu-Yung Jong, M., Wing-Fat Lau, W., Chai, C.-S., & Wu, N. (n.d.). Using automatic speech recognition technology to enhance EFL learners’ oral language complexity in a flipped classroom. In Australasian Journal of Educational Technology (Vol. 2021, Issue 2).

Zuriati, D., & Persada Bunda, S. (n.d.). J-SHMIC : Journal of English for Academic Implementing Speech-Texter Application to Improve EFL Learners’ Fricative Pronunciation. https://journal.uir.ac.id/index.php/jshmic




DOI: https://doi.org/10.31004/jele.v11i1.1951

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