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It uses a quantitative design to compare pronunciation accuracy, intelligibility, and listening comprehension between learner groups, applying Chi-square tests and standard deviation analysis. Results indicate AI-based training is at least as effective as traditional instruction, with CAPT learners showing stronger performance in intelligibility and intonation and reduced variability. Findings support AI’s role as a scalable, accessible solution for foreign language pronunciation instruction.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/evaluating-the-comparative-effectiveness-of-capt-based-vs-native-speaker-led-pronunciation-training/600519/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/evaluating-the-comparative-effectiveness-of-capt-based-vs-native-speaker-led-pronunciation-training/600519.png","ImageObject",300,407,{"name":92,"@type":93},"OmBimo","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What two pronunciation training methods does the study compare?","Question",{"text":112,"@type":113},"The study compares native speaker-led instruction with AI-driven pronunciation tools (CAPT).","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the research measure learners’ performance?",{"text":117,"@type":113},"It analyzes pronunciation accuracy, intelligibility, and listening comprehension using quantitative comparisons between groups. Statistical tests include Chi-square tests and standard deviation analysis.",{"name":119,"@type":110,"acceptedAnswer":120},"What do the findings suggest about AI-based pronunciation training?",{"text":121,"@type":113},"AI-based CAPT training is at least as effective as native speaker-led instruction, and CAPT learners perform even better in intelligibility and intonation, with lower performance variability.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},600519,1792166532,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},962090893581,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","OPEN ACCESS  \nResearch Article  \nContemporary Educational Technology, 2025, 17(4), ep608 ISSN: 1309-517X (Online)  \nEvaluating the comparative effectiveness of CAPT-based vs. native speaker-led pronunciation training  \nDana Ondrušková 1*  \n 0000-0001-9591-5673  \n1 Palacký University, Olomouc, CZECH REPUBLIC  \n* Corresponding author: [dana.ondruskova01@upol.cz](dana.ondruskova01@upol.cz)  \nCitation: Ondrušková, D. (2025) . Evaluating the comparative effectiveness of CAPT-based vs. native speaker-led pronunciation training. Contemporary Educational Technology, 17(4), ep608. [https://doi.org/10.30935/cedtech/17481](https://doi.org/10.30935/cedtech/17481)  \nARTICLE INFO ABSTRACT  \n\n| Received: 17 Mar 2025\u003Cbr>Accepted: 29 Aug 2025\u003Cbr>INTRODUCTION | 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.\u003Cbr>Keywords: pronunciation training, AI-assisted learning, language education, listening comprehension |\n| --- | --- |\n\nCorrect pronunciation is crucial for communicative competence, both in terms of perception and production. It plays a fundamental role in effective communication, as it directly impacts the message’s clarity and understanding. Pronunciation not only ensures that speech is intelligible but also influences how speakers are perceived by others, affecting their credibility and engagement. When learners articulate phonemes and prosodic patterns correctly, they are better equipped to internalize acoustic cues and segment continuous speech, which directly supports listening comprehension (Dao et al., 2020) . Mispronunciation often reflects underlying perceptual issues, improving pronunciation can concurrently sharpen auditory discrimination of sounds. Empirical findings suggest that targeted pronunciation training reduces cognitive load during listening, allowing learners to focus more on meaning rather than form (Verbeke & Simon, 2023) . Consequently, integrating pronunciation practice into language curricula fosters not just speaking accuracy but also more effective and efficient listening skills (Ekşi & Yeşilçınar, 2016) . Nevertheless, despite its recognized importance, pronunciation practice continues to receive limited attention in classroom practice, creating a gap that this study seeks to address.  \nTraditionally, pronunciation practice has been facilitated by native speakers, who provide real-time feedback, corrective intervention, and nuanced phonetic modeling. However, recent advancements in artificial intelligence (AI) have introduced new tools suitable for analyzing and correcting pronunciation with increasing precision. These AI-driven solutions offer learners the possibility of autonomous, immediate, and repetitive practice, potentially reducing their dependency on human instruct","cbCaip8b3Xa3JA1z","https://ap.wps.com/l/cbCaip8b3Xa3JA1z","pdf",380987,15,"English","# Introduction\n## Research aim and instructional comparison\n## Method and quantitative measures\n## Findings and implications","[{\"question\":\"What two pronunciation training methods does the study compare?\",\"answer\":\"The study compares native speaker-led instruction with AI-driven pronunciation tools (CAPT).\"},{\"question\":\"How does the research measure learners’ performance?\",\"answer\":\"It analyzes pronunciation accuracy, intelligibility, and listening comprehension using quantitative comparisons between groups. Statistical tests include Chi-square tests and standard deviation analysis.\"},{\"question\":\"What do the findings suggest about AI-based pronunciation training?\",\"answer\":\"AI-based CAPT training is at least as effective as native speaker-led instruction, and CAPT learners perform even better in intelligibility and intonation, with lower performance variability.\"}]","Evaluating the Comparative Effectiveness of CAPT-Based vs. Native Speaker-Led Pronunciation Training | PDF",1792090855,38]