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Exploring the impact of AI-assisted practice applications on music learners' performance, self-efficacy, and self-regulated learning

2025-10-13Artigo científico Acesso aberto
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dc.contributor.authorOu, Jiayi
dc.contributor.authorNogueira, Joao
dc.contributor.authorQin, Chao
dc.contributor.institutionDepartamento de Ciências Musicais (DCM)
dc.contributor.institutionCentro de Estudos em Música (CESEM - NOVA FCSH)
dc.contributor.pblFrontiers Media
dc.date.accessioned2026-03-19T11:25:05Z
dc.date.available2026-03-19T11:25:05Z
dc.date.issued2025-10-13
dc.descriptionUID/00693/2025 https://doi.org/10.54499/UID/00693/2025
dc.description.abstractIntroduction: 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.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent15
dc.format.extent1193019
dc.identifier.doi10.3389/fpsyg.2025.1675762
dc.identifier.issn1664-1078
dc.identifier.otherPURE: 157969533
dc.identifier.otherPURE UUID: 23b17671-9b93-4aee-a089-d23e8dc3c5ae
dc.identifier.otherWOS: 001600502200001
dc.identifier.otherPubMed: 41159183
dc.identifier.urihttp://hdl.handle.net/10362/201641
dc.identifier.urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=nova_api&SrcAuth=WosAPI&KeyUT=WOS:001600502200001&DestLinkType=FullRecord&DestApp=WOS_CPL
dc.identifier.urlhttps://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2025.1675762/full
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/Avaliação UID 2023%2F2024/UID%2F00693%2F2025/PT
dc.subjectAI-assisted app
dc.subjectMusicians' performance
dc.subjectMusicians' self-efficacy
dc.subjectQuasi-experimental study
dc.subjectSelf-regulated learning
dc.titleExploring the impact of AI-assisted practice applications on music learners' performance, self-efficacy, and self-regulated learningen
dc.typejournal article
degois.publication.firstPage1
degois.publication.lastPage15
degois.publication.titleFrontiers in Psychology
degois.publication.volume16
dspace.entity.typePublication
rcaap.rightsopenAccess

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