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