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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS

  • CEP obor

  • OECD FORD obor

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

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Contemporary Educational Technology

  • ISSN

    1309-517X

  • e-ISSN

    1309-517X

  • Svazek periodika

    17

  • Číslo periodika v rámci svazku

    4

  • Stát vydavatele periodika

    TR - Turecká republika

  • Počet stran výsledku

    15

  • Strana od-do

    1-15

  • Kód UT WoS článku

    001633893600005

  • EID výsledku v databázi Scopus

    2-s2.0-105026689846