Exploring Speech-Recognition Technology on English Pronunciation Skills: A Qualitative Study in Eleventh Grade of SMAI Miftahul Ulum

This study explores the use of speech-recognition technology to improve English pronunciation among eleventh-grade students at Miftahul Ulum Islamic Senior High School. Using a qualitative case study approach, data were collected through semi-structured interviews, classroom observations, and docume...

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Bibliographic Details
Main Authors: Moh. Hidayatulllah, Zainuddin Zainuddin, Beny Hamdani
Format: Article
Language:English
Published: Universitas Pendidikan Mandalika, Faculty of Culture, Management, and Business (UNDIKMA) 2025-06-01
Series:Journal of English Language Teaching Fakultas Pendidikan Bahasa dan Seni Program Studi Pendidikan Bahasa Inggris IKIP Mataram
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Online Access:https://e-journal.undikma.ac.id/index.php/joelt/article/view/15230
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Summary:This study explores the use of speech-recognition technology to improve English pronunciation among eleventh-grade students at Miftahul Ulum Islamic Senior High School. Using a qualitative case study approach, data were collected through semi-structured interviews, classroom observations, and document analysis. Thematic analysis revealed five key findings: (1) improved segmental pronunciation accuracy, (2) increased student motivation and engagement, (3) challenges with accent recognition, (4) limited support for fluency and natural speech, and (5) a need for more personalized feedback. While the technology effectively corrected individual pronunciation errors and boosted learners’ confidence, its limitations in recognizing regional accents and supporting sentence-level fluency suggest the need for a more integrated instructional approach. The study recommends using speech-recognition tools as supplementary aids, combined with communicative activities such as group discussions or role-play. These findings offer important insights into technology-enhanced language learning in the Indonesian EFL context and highlight the need for more adaptive, linguistically inclusive speech-recognition systems.
ISSN:2355-0309
2548-5865