Effects of Voice‐Based ChatGPT on Chinese‐as‐a‐Second‐Language Learners’ Mandarin Pronunciation

ABSTRACT This study investigates the impact of voice‐based ChatGPT on the Mandarin pronunciation of Chinese‐as‐a‐second‐language (CSL) learners. Learners’ oral productions, collected as they read aloud their self‐written stories, were analyzed to determine the extent of pronunciation improvement and to explore their perceptions of the tool. The participants consisted of 31 university students from Vietnam, Japan, and Thailand. Data included four audio recordings of student readings and a questionnaire survey. The study addressed two research questions: (1) How do CSL learners’ Mandarin pronunciation skills change over time through interaction with voice‐based ChatGPT? and (2) What are CSL learners’ perceptions of using voice‐based ChatGPT for pronunciation practice? Results indicated consistent improvement across the recordings, with the most significant gain observed between the first and fourth recordings. In terms of specific dimensions assessed, overall comprehensibility (the listener's perceived ease of understanding the speaker's utterance) improved the most, followed by tone, while accuracy (e.g., initials and finals) showed the least improvement, though all mean differences were statistically significant ( p < 0.05). Regarding learner perceptions, participants reported positive attitudes, perceived usefulness, ease of use, and favorable affective responses (e.g., feeling comfortable). Ratings for all perceptual dimensions were significantly correlated ( p < 0.05). Pedagogical implications of the findings are also discussed in the paper.

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Publication Details

Journal
International Journal of Applied Linguistics
Published
2026-05-08
DOI
https://doi.org/10.1111/ijal.70213
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00

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article

Effects of Voice‐Based ChatGPT on Chinese‐as‐a‐Second‐Language Learners’ Mandarin Pronunciation

Sarah H. J. Liu
International Journal of Applied Linguistics
AI in Service Interactions
article

Effects of Voice‐Based ChatGPT on Chinese‐as‐a‐Second‐Language Learners’ Mandarin Pronunciation

Sarah H. J. Liu
article en

Abstract

ABSTRACT This study investigates the impact of voice‐based ChatGPT on the Mandarin pronunciation of Chinese‐as‐a‐second‐language (CSL) learners. Learners’ oral productions, collected as they read aloud their self‐written stories, were analyzed to determine the extent of pronunciation improvement and to explore their perceptions of the tool. The participants consisted of 31 university students from Vietnam, Japan, and Thailand. Data included four audio recordings of student readings and a questionnaire survey. The study addressed two research questions: (1) How do CSL learners’ Mandarin pronunciation skills change over time through interaction with voice‐based ChatGPT? and (2) What are CSL learners’ perceptions of using voice‐based ChatGPT for pronunciation practice? Results indicated consistent improvement across the recordings, with the most significant gain observed between the first and fourth recordings. In terms of specific dimensions assessed, overall comprehensibility (the listener's perceived ease of understanding the speaker's utterance) improved the most, followed by tone, while accuracy (e.g., initials and finals) showed the least improvement, though all mean differences were statistically significant ( p < 0.05). Regarding learner perceptions, participants reported positive attitudes, perceived usefulness, ease of use, and favorable affective responses (e.g., feeling comfortable). Ratings for all perceptual dimensions were significantly correlated ( p < 0.05). Pedagogical implications of the findings are also discussed in the paper.

International Journal of Applied Linguistics
Kainan University (TW)
National Science and Technology Council
Quality Education
Openalex Percentile: Top 4%
AI in Service Interactions
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