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Exploring the impact of audio self-modelling on Chinese as a foreign language students' tone pronunciation skill, self-efficacy, and motivation

Linghong Li (UGent) , Martin Valcke (UGent) , Linda Badan (UGent) and Christoph Anderl (UGent)
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Abstract
Background study Chinese tone pronunciation instruction gains increasingly attention and various instructional strategies have been studied to develop effective tones in students. Students usually listen to successful pronunciation stimuli provided by the teacher or peers, to be copied by themselves. However, individuals seem more sensitive to learn from their own voice to develop adequate tone pronunciation. Self-Modelling is an instructional strategy that builds on learning from ones' own behaviour to develop target behaviours. Most available research builds on visual cues; hence the label Visual Self Modelling (VSM) that presents learners with videoclips of their own behaviour. VSM had been found to be successful to develop a range of skills. However, when focusing on language pronunciation, audio cues are to be preferred to direct the modelling process. This inspired the authors to the design of audio self-modelling (ASM) that starts from recordings of students' pronunciation. These auditory recordings are hypothesized to be more appropriate as a base for self-modelling. Objectives The purpose of this study is to investigate the effectiveness of ASM when training Chinese as a foreign language students' tone pronunciation (focus on contour, pitch, duration. Additionally, the study explores the impact of ASM on students' self-efficacy and motivation and the relationship between students' tone pronunciation skill, self-efficacy, and motivation. Method A quasi-experimental design was adopted, involving 26 students in a six-week intervention to study the improvement of their pronunciation of Chinese tones at word level. Seventeen students in the experimental condition were trained via ASM; the other nine students studied pronunciation as usual on the base of teacher provided pronunciation stimuli and corrective feedback. Students in the ASM were also individually interviewed about their learning experience. Results Analysis of the quantitative pre- and post-tests scores show that ASM results in a significantly higher posttest score for in each of the tone criteria as compared to the control group (contour, pitch and duration). Also, students' self-efficacy and motivation improved to a significantly higher extent in the ASM research condition. No significant correlations were found between CFL students' tone pronunciation performance and their self-efficacy and motivation. Analysis of the interview data further indicated that CFL students put forward positive attitudes and perceptions about ASM, next to some concerns. Conclusion The significant findings present empirical evidence as to the efficacy of ASM as an instructional strategy to develop L2 skills, and push the idea to adopt self-modelling on the base of person auditory recordings to direct L2 pronunciation instruction.
Keywords
audio self-modelling (ASM), Chinese tone, motivation, self-efficacy, video self-modelling (VSM), Chinese tones, LEARNERS, PERCEPTION, INTERVENTION, ORIENTATIONS, FEEDFORWARD, ACQUISITION, STRATEGIES, REPETITION, ATTITUDES, RESPONSES

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MLA
Li, Linghong, et al. “Exploring the Impact of Audio Self-Modelling on Chinese as a Foreign Language Students’ Tone Pronunciation Skill, Self-Efficacy, and Motivation.” JOURNAL OF COMPUTER ASSISTED LEARNING, 2024, doi:10.1111/jcal.12922.
APA
Li, L., Valcke, M., Badan, L., & Anderl, C. (2024). Exploring the impact of audio self-modelling on Chinese as a foreign language students’ tone pronunciation skill, self-efficacy, and motivation. JOURNAL OF COMPUTER ASSISTED LEARNING. https://doi.org/10.1111/jcal.12922
Chicago author-date
Li, Linghong, Martin Valcke, Linda Badan, and Christoph Anderl. 2024. “Exploring the Impact of Audio Self-Modelling on Chinese as a Foreign Language Students’ Tone Pronunciation Skill, Self-Efficacy, and Motivation.” JOURNAL OF COMPUTER ASSISTED LEARNING. https://doi.org/10.1111/jcal.12922.
Chicago author-date (all authors)
Li, Linghong, Martin Valcke, Linda Badan, and Christoph Anderl. 2024. “Exploring the Impact of Audio Self-Modelling on Chinese as a Foreign Language Students’ Tone Pronunciation Skill, Self-Efficacy, and Motivation.” JOURNAL OF COMPUTER ASSISTED LEARNING. doi:10.1111/jcal.12922.
Vancouver
1.
Li L, Valcke M, Badan L, Anderl C. Exploring the impact of audio self-modelling on Chinese as a foreign language students’ tone pronunciation skill, self-efficacy, and motivation. JOURNAL OF COMPUTER ASSISTED LEARNING. 2024;
IEEE
[1]
L. Li, M. Valcke, L. Badan, and C. Anderl, “Exploring the impact of audio self-modelling on Chinese as a foreign language students’ tone pronunciation skill, self-efficacy, and motivation,” JOURNAL OF COMPUTER ASSISTED LEARNING, 2024.
@article{01HHYB1W5P8WQ4D431T2PEVY28,
  abstract     = {{Background study

Chinese tone pronunciation instruction gains increasingly attention and various instructional strategies have been studied to develop effective tones in students. Students usually listen to successful pronunciation stimuli provided by the teacher or peers, to be copied by themselves. However, individuals seem more sensitive to learn from their own voice to develop adequate tone pronunciation. Self-Modelling is an instructional strategy that builds on learning from ones' own behaviour to develop target behaviours. Most available research builds on visual cues; hence the label Visual Self Modelling (VSM) that presents learners with videoclips of their own behaviour. VSM had been found to be successful to develop a range of skills. However, when focusing on language pronunciation, audio cues are to be preferred to direct the modelling process. This inspired the authors to the design of audio self-modelling (ASM) that starts from recordings of students' pronunciation. These auditory recordings are hypothesized to be more appropriate as a base for self-modelling.
Objectives

The purpose of this study is to investigate the effectiveness of ASM when training Chinese as a foreign language students' tone pronunciation (focus on contour, pitch, duration. Additionally, the study explores the impact of ASM on students' self-efficacy and motivation and the relationship between students' tone pronunciation skill, self-efficacy, and motivation.
Method

A quasi-experimental design was adopted, involving 26 students in a six-week intervention to study the improvement of their pronunciation of Chinese tones at word level. Seventeen students in the experimental condition were trained via ASM; the other nine students studied pronunciation as usual on the base of teacher provided pronunciation stimuli and corrective feedback. Students in the ASM were also individually interviewed about their learning experience.
Results

Analysis of the quantitative pre- and post-tests scores show that ASM results in a significantly higher posttest score for in each of the tone criteria as compared to the control group (contour, pitch and duration). Also, students' self-efficacy and motivation improved to a significantly higher extent in the ASM research condition. No significant correlations were found between CFL students' tone pronunciation performance and their self-efficacy and motivation. Analysis of the interview data further indicated that CFL students put forward positive attitudes and perceptions about ASM, next to some concerns.
Conclusion

The significant findings present empirical evidence as to the efficacy of ASM as an instructional strategy to develop L2 skills, and push the idea to adopt self-modelling on the base of person auditory recordings to direct L2 pronunciation instruction.}},
  author       = {{Li, Linghong and Valcke, Martin and Badan, Linda and Anderl, Christoph}},
  issn         = {{0266-4909}},
  journal      = {{JOURNAL OF COMPUTER ASSISTED LEARNING}},
  keywords     = {{audio self-modelling (ASM),Chinese tone,motivation,self-efficacy,video self-modelling (VSM),Chinese tones,LEARNERS,PERCEPTION,INTERVENTION,ORIENTATIONS,FEEDFORWARD,ACQUISITION,STRATEGIES,REPETITION,ATTITUDES,RESPONSES}},
  language     = {{eng}},
  pages        = {{16}},
  title        = {{Exploring the impact of audio self-modelling on Chinese as a foreign language students' tone pronunciation skill, self-efficacy, and motivation}},
  url          = {{http://doi.org/10.1111/jcal.12922}},
  year         = {{2024}},
}

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