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Evaluating the comparative effectiveness of CAPT-based vs. native speaker-led pronunciation training

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F25%3A73633195" target="_blank" >RIV/61989592:15210/25:73633195 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.cedtech.net/article/evaluating-the-comparative-effectiveness-of-capt-based-vs-native-speaker-led-pronunciation-training-17481" target="_blank" >https://www.cedtech.net/article/evaluating-the-comparative-effectiveness-of-capt-based-vs-native-speaker-led-pronunciation-training-17481</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.30935/cedtech/17481" target="_blank" >10.30935/cedtech/17481</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluating the comparative effectiveness of CAPT-based vs. native speaker-led pronunciation training

  • Original language description

    This study examines the effectiveness of pronunciation training by comparing two instructional methods: native speaker-led instruction and artificial intelligence (AI)-driven pronunciation tools. The research aims to determine whether AI-assisted pronunciation training can serve as an effective alternative or complement to traditional instruction. This is particularly relevant for language programs where access to native speakers is limited. The study employs a quantitative research design, analyzing pronunciation accuracy, intelligibility, and listening comprehension among A1-level French learners. A statistical comparison of learners’ performance in both groups was conducted, including Chi-square tests and standard deviation analysis. The findings suggest that AI-based pronunciation training is at least as effective as native speaker-led instruction, with students in the CAPT group performing even better, particularly in intelligibility and intonation. The reduced performance variability among AI-trained learners suggests that these tools provide a structured and uniform learning experience. These insights contribute to optimizing pronunciation teaching methods, highlighting the potential of AI as a scalable and accessible pronunciation training solution in foreign language education.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50301 - Education, general; including training, pedagogy, didactics [and education systems]

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Contemporary Educational Technology

  • ISSN

    1309-517X

  • e-ISSN

    1309-517X

  • Volume of the periodical

    17

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    TR - TURKEY

  • Number of pages

    15

  • Pages from-to

    1-15

  • UT code for WoS article

    001633893600005

  • EID of the result in the Scopus database

    2-s2.0-105026689846