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Seeing how people hear you

French learners experiencing intelligibility through automatic speech recognition

Datos Bibliográficos

ID8938130
AutoresAurore Mroz (University of Illinois Urbana-Champaign), Aurore Patricia Mroz (0000-0001-9755-121X, University of Illinois Urbana-Champaign, autor de correspondencia)
Año2018
Volumen51
Número3
Páginas617-637
Fecha de publicación2018-08-14
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaForeign Language Annals (JOURNAL)
Identificadores de la revistaISSN: 0015-718X • E-ISSN: 1944-9720
EditorialWiley (PUBLISHER • GB)
DOI10.1111/flan.12348
OpenAlexW2885248422
IdiomaEN
Citas recibidas17
Referencias citadas20

Many language practitioners feel ill equipped to address learners’ pronunciation or have difficulties doing so because of limited class time, opportunities for individualized feedback, and approaches to evaluating intelligibility. However, it is crucial that students become understandable to native speakers who are unaccustomed to dealing with second language learners. Automatic Speech Recognition (ASR) offers one potentially practical way to answer these needs. Contributing to research on mobile‐assisted learning, this study investigated how two groups of college‐level second language French learners developed greater awareness of their own intelligibility using ASR in Gmail. Using an ecological approach (van Lier, ) and an experiential learning model (Kolb, ), while following up on Liakin, Cardoso, and Liakina (2017), as well as McCrocklin ( ), this study found that ASR could credibly simulate understanding by a native speaker, allowing learners to close the intelligibility gap and develop a sense of what successful interpersonal communication entails. Pedagogical implications are offered

Experiential learning · Intelligibility (philosophy · Interpersonal communication · Language acquisition · Linguistics · Mathematics education · Pedagogy · Pronunciation · Communication · Computer Science · EFL/ESL Teaching and Learning · Mobile Learning in Education · Psychology · Speech and dialogue systems

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    Open Access•Mohammed Ali Mohsen, Hassan Saleh Mahdi et al.•Humanities and Social Sciences…•2025

  • The impact of AI-driven speech recognition on EFL listening comprehension, flow experience, and anxiety

    Open Access•Yanling Xiao•Humanities and Social Sciences…•2025

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    Open Access•Michael Yi-Chao Jiang, Morris Siu‐Yung Jong et al.•Journal of Computer Assisted…•2023

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Obras citantes distintas17
Citas por año2,13
Intervalo de citas2018 - 2026 (9)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 17
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