The interplay of flow, self-efficacy, learning motivation, and learning outcomes in music education: A comprehensive analysis of multidimensional interactions

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-10-01 DOI:10.1016/j.actpsy.2024.104515
Pengcheng Su , Jiayin Kong , Lijun Zhou , Erchen Li
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Abstract

This study innovatively investigates the interplay among flow, self-efficacy, learning motivation, and learning outcomes in music education, shedding light on the mediating and moderating mechanisms underlying these relationships. Employing Structural Equation Modeling (SEM), it analyzes data from 241 music students in the Guangdong region to empirically test the research hypotheses. The results reveal that flow not only directly predicts learning outcomes (β = 0.411) but also indirectly influences them through the serial mediation of self-efficacy and learning motivation (β = 0.026). Moreover, this study uncovers the crucial moderating role of prior experience, showing that the relationships between flow, self-efficacy, and learning outcomes are stronger for students with higher levels of prior experience. These findings not only advance the understanding of flow theory but also provide insights into how to create flow-conducive environments in music education and offer practical implications for designing differentiated teaching strategies based on students' prior experience levels.
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音乐教育中的流动、自我效能感、学习动机和学习成果之间的相互作用:多维互动综合分析
本研究创新性地探讨了音乐教育中流动、自我效能感、学习动机和学习成果之间的相互作用,揭示了这些关系背后的中介和调节机制。研究采用结构方程模型(SEM),分析了广东地区 241 名音乐专业学生的数据,对研究假设进行了实证检验。结果表明,流动不仅直接预测学习结果(β = 0.411),而且通过自我效能感和学习动机的序列中介间接影响学习结果(β = 0.026)。此外,本研究还发现了先前经验的重要调节作用,表明对于先前经验水平较高的学生来说,流动、自我效能感和学习结果之间的关系更强。这些发现不仅推进了对流动理论的理解,而且为如何在音乐教育中创造流动环境提供了启示,并为根据学生的先前经验水平设计差异化教学策略提供了实践意义。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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