A carregar...
Publicação
Exploring the impact of AI-assisted practice applications on music learners' performance, self-efficacy, and self-regulated learning
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.14 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Introduction: Despite significant advancements in artificial intelligence (AI) applications across various disciplines, research on AI’s psychological impacts in music learning contexts remains limited. This study explores the effects of AI-assisted practice apps on violin students’ self-efficacy, performance outcomes and Self-Regulated Learning (SRL).Methods: A four-month quasi-experimental study was conducted with 40 violin majors from a conservatory in South China. All participants received identical classroom instruction and maintained equivalent daily practice time, but the experimental group (n = 20) used AI-assisted practice app while the control group (n = 20) practiced using regular practice methods.Results: Mixed-effects modelling revealed differentiated impacts on self-efficacy dimensions: while the control group experienced natural decline in Music Learning Self-Efficacy (MLSE) as task difficulty increased, AI intervention enabled the experimental group to maintain stable learning confidence. More notably, the experimental group achieved significant improvements in Music Performance Self-Efficacy (MPSE) with large effect sizes, indicating that AI-assisted practice app possesses distinct advantages in enhancing performance confidence. In terms of performance outcomes, the experimental group demonstrated significant improvement while the control group showed a declining trend. Thematic analysis revealed that AI-assisted practice apps support self-regulated learning (SRL) across three critical phases: providing goal-setting and strategic planning support during the forethought phase, facilitates self-monitoring and self-control during the performance phase, and enabling objective evaluation and strategic adjustment during the self-reflection phase.Discussion: This study enriches understanding of self-efficacy theory in AI technology-enhanced learning environments and demonstrates AI technology’s educational value in instrumental music learning.
Descrição
UIDB/00693/2020
UIDP/00693/2020
Palavras-chave
AI-assisted app Musicians' performance Musicians' self-efficacy Quasi-experimental study Self-regulated learning