Using computer-assisted interactive feedback to enhance natural *pronunciation of Chinese tones by non-native learners of Mandarin Chinese
Michael R. Beutner, Ohio University, United States
Ohio University . Awarded
This study investigated Computer Assisted Interactive Feedback (CAIF) as supplementary support in enhancing the ability of Mandarin Chinese learners to develop improved self-monitoring of their pronunciation of tones. CAIF may be regarded as a positively perceived active learning strategy for engaging students with supplementary individualized corrective feedback. CAIF offers potential as an appropriate learning resource for monitoring and improving pronunciation.
A single group repeated measures analysis of 27 participants examined the change in accuracy of students' pronunciation of tones over a 15-week period. An improvement in group accuracy of 40% was noted. While nearly all students improved significantly, the lowest quartile experienced greatest improvement. Improvement occurred asymptotically during the early part of the study. A partial eta square of 0.619 indicated that approximately 62% of the variance in change among the measures was explained by a trend in improvement.
The accuracy of CAIF evaluation for judging acceptable responses was found to match a human rater in the order of 80%. CAIF was determined to be an effective criterion for measuring pronunciation in this study.
A qualitative component of this study, based on anonymous evaluations and formal interviews, indicated strong support and acceptance of CAIF. Participants provided very favorable responses regarding perceived usefulness, effectiveness, value, and self-improvement.
Beutner, M.R. Using computer-assisted interactive feedback to enhance natural *pronunciation of Chinese tones by non-native learners of Mandarin Chinese. Ph.D. thesis, Ohio University. Retrieved February 17, 2019 from https://www.learntechlib.org/p/125403/.
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