Psychological factors affecting music learning outcomes: a quantitative study

This study explores psychological factors influencing music learning outcomes among Chinese college students. A sample of 100 music students from two universities completed an anonymous questionnaire, yielding 97 valid responses. Key factors—fear of mistakes, self-expectations, and purposeful practice—were identified, with linear and nonlinear regression employed to construct quantitative models for emotional experiences and academic performance. Among participants, 48.5% reported positive learning experiences and 29.9% negative. The emotional model (R2 = 0.9990) and academic performance model (R2 = 0.9830) exhibited high goodness-of-fit (p < 0.05), with fear and self-expectations as significant predictors. This innovative quantitative model system links psychological factors to learning outcomes, offering actionable insights for emotionally responsive music education to enhance student well-being and academic achievement.

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Publication Details

Journal
Cogent Education
Published
2026-02-25
DOI
https://doi.org/10.1080/2331186x.2026.2633841
Primary Topic
Diverse Music Education Insights
Type
article
Field-Weighted Citation Impact
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article

Psychological factors affecting music learning outcomes: a quantitative study

Lingxu Peng, Jiabei Ma, Longchuan Guo
Cogent Education
Diverse Music Education Insights
article

Psychological factors affecting music learning outcomes: a quantitative study

Lingxu Peng, Jiabei Ma, Longchuan Guo
article en

Abstract

This study explores psychological factors influencing music learning outcomes among Chinese college students. A sample of 100 music students from two universities completed an anonymous questionnaire, yielding 97 valid responses. Key factors—fear of mistakes, self-expectations, and purposeful practice—were identified, with linear and nonlinear regression employed to construct quantitative models for emotional experiences and academic performance. Among participants, 48.5% reported positive learning experiences and 29.9% negative. The emotional model (R2 = 0.9990) and academic performance model (R2 = 0.9830) exhibited high goodness-of-fit (p < 0.05), with fear and self-expectations as significant predictors. This innovative quantitative model system links psychological factors to learning outcomes, offering actionable insights for emotionally responsive music education to enhance student well-being and academic achievement.

Cogent EducationVol. 13(1)
Hangzhou Normal University (CN), Hangzhou Dianzi University (CN)
Quality Education
Openalex Percentile: Top 36%
Diverse Music Education Insights
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