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The impact of automatic speech recognition technology on second language pronunciation and speaking skills of EFL learners: a mixed methods investigation

INTRODUCTION: This study employed an explanatory sequential design to examine the impact of utilizing automatic speech recognition technology (ASR) with peer correction on the improvement of second language (L2) pronunciation and speaking skills among English as a Foreign Language (EFL) learners. Th...

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Autor principal: Sun, Weina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469312/
https://www.ncbi.nlm.nih.gov/pubmed/37663357
http://dx.doi.org/10.3389/fpsyg.2023.1210187
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author Sun, Weina
author_facet Sun, Weina
author_sort Sun, Weina
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description INTRODUCTION: This study employed an explanatory sequential design to examine the impact of utilizing automatic speech recognition technology (ASR) with peer correction on the improvement of second language (L2) pronunciation and speaking skills among English as a Foreign Language (EFL) learners. The aim was to assess whether this approach could be an effective tool for enhancing L2 pronunciation and speaking abilities in comparison to traditional teacher-led feedback and instruction. METHODS: A total of 61 intermediate-level Chinese EFL learners were randomly assigned to either a control group (CG) or an experimental group (EG). The CG received conventional teacher-led feedback and instruction, while the EG used ASR technology with peer correction. Data collection involved read-aloud tasks, spontaneous conversations, and IELTS speaking tests to evaluate L2 pronunciation and speaking skills. Additionally, semi-structured interviews were conducted with a subset of the participants to explore their perceptions of the ASR technology and its impact on their language learning experience. RESULTS: The quantitative analysis of the collected data demonstrated that the EG outperformed the CG in all measures of L2 pronunciation, including accentedness and comprehensibility. Furthermore, the EG exhibited significant improvements in global speaking skill compared to the CG. The qualitative analysis of the interviews revealed that the majority of the participants in the EG found the ASR technology to be beneficial in enhancing their L2 pronunciation and speaking abilities. DISCUSSION: The results of this study suggest that the utilization of ASR technology with peer correction can be a potent approach in enhancing L2 pronunciation and speaking skills among EFL learners. The improved performance of the EG compared to the CG in pronunciation and speaking tasks demonstrates the potential of incorporating ASR technology into language learning environments. Additionally, the positive feedback from the participants in the EG underscores the value of using ASR technology as a supportive tool in language learning classrooms.
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spelling pubmed-104693122023-09-01 The impact of automatic speech recognition technology on second language pronunciation and speaking skills of EFL learners: a mixed methods investigation Sun, Weina Front Psychol Psychology INTRODUCTION: This study employed an explanatory sequential design to examine the impact of utilizing automatic speech recognition technology (ASR) with peer correction on the improvement of second language (L2) pronunciation and speaking skills among English as a Foreign Language (EFL) learners. The aim was to assess whether this approach could be an effective tool for enhancing L2 pronunciation and speaking abilities in comparison to traditional teacher-led feedback and instruction. METHODS: A total of 61 intermediate-level Chinese EFL learners were randomly assigned to either a control group (CG) or an experimental group (EG). The CG received conventional teacher-led feedback and instruction, while the EG used ASR technology with peer correction. Data collection involved read-aloud tasks, spontaneous conversations, and IELTS speaking tests to evaluate L2 pronunciation and speaking skills. Additionally, semi-structured interviews were conducted with a subset of the participants to explore their perceptions of the ASR technology and its impact on their language learning experience. RESULTS: The quantitative analysis of the collected data demonstrated that the EG outperformed the CG in all measures of L2 pronunciation, including accentedness and comprehensibility. Furthermore, the EG exhibited significant improvements in global speaking skill compared to the CG. The qualitative analysis of the interviews revealed that the majority of the participants in the EG found the ASR technology to be beneficial in enhancing their L2 pronunciation and speaking abilities. DISCUSSION: The results of this study suggest that the utilization of ASR technology with peer correction can be a potent approach in enhancing L2 pronunciation and speaking skills among EFL learners. The improved performance of the EG compared to the CG in pronunciation and speaking tasks demonstrates the potential of incorporating ASR technology into language learning environments. Additionally, the positive feedback from the participants in the EG underscores the value of using ASR technology as a supportive tool in language learning classrooms. Frontiers Media S.A. 2023-08-16 /pmc/articles/PMC10469312/ /pubmed/37663357 http://dx.doi.org/10.3389/fpsyg.2023.1210187 Text en Copyright © 2023 Sun. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Sun, Weina
The impact of automatic speech recognition technology on second language pronunciation and speaking skills of EFL learners: a mixed methods investigation
title The impact of automatic speech recognition technology on second language pronunciation and speaking skills of EFL learners: a mixed methods investigation
title_full The impact of automatic speech recognition technology on second language pronunciation and speaking skills of EFL learners: a mixed methods investigation
title_fullStr The impact of automatic speech recognition technology on second language pronunciation and speaking skills of EFL learners: a mixed methods investigation
title_full_unstemmed The impact of automatic speech recognition technology on second language pronunciation and speaking skills of EFL learners: a mixed methods investigation
title_short The impact of automatic speech recognition technology on second language pronunciation and speaking skills of EFL learners: a mixed methods investigation
title_sort impact of automatic speech recognition technology on second language pronunciation and speaking skills of efl learners: a mixed methods investigation
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469312/
https://www.ncbi.nlm.nih.gov/pubmed/37663357
http://dx.doi.org/10.3389/fpsyg.2023.1210187
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