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Artificial Intelligence in Teacher Education: Exploring Pre-Service Teachers’ Perspectives Through Creative Music Projects for Professional Learning

datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorMilhano, Sandrina
dc.date.accessioned2025-11-10T16:33:12Z
dc.date.available2025-11-10T16:33:12Z
dc.date.issued2025en_US
dc.date.updated2025-11-10T15:35:51Z
dc.description.abstractThis study explores the integration of generative artificial intelligence (AI) into the initial training of pre-service teachers through creative music projects. As AI becomes increasingly embedded in educational practice, teacher education must address its pedagogical potential and limitations. Grounded in qualitative, interpretive, and exploratory methods, the research examines how pre-service teachers engage with AI-supported music creation by comparing experiences with and without the use of generative AI tools, using individual reflections and group e-portfolios for triangulation. Thematic analysis of individual reflections and group e-portfolios identified key opportunities and challenges associated with AI integration. Findings suggest that generative AI can broaden access to creative engagement by enhancing inclusivity, encouraging experimentation, and expanding musical expression. However, tensions also emerged concerning authorship, learner autonomy, and dependence on algorithmic output. The comparative structure of the learning experience enabled participants to reflect critically on the pedagogical implications of AI use. While non-AI processes demanded greater technical skill, they were associated with deeper collaboration, creative decision-making, and artistic ownership. This study contributes to current discussions on digital pedagogy and teacher education by highlighting the need for ethically informed, critically guided AI practice in creative disciplines. It emphasizes the importance of interdisciplinary, reflective practice in developing teacher agency, digital competence, and inclusive pedagogical approaches within higher education.eng
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.citationilhano, Sandrina . 2025. "Artificial Intelligence in Teacher Education: Exploring Pre-Service Teachers’ Perspectives Through Creative Music Projects for Professional Learning." The International Journal of Learning in Higher Education 33 (2): 143-165. doi:10.18848/2327-7955/CGP/v33i02/143-165.
dc.identifier.doi10.18848/2327-7955/cgp/v33i02/143-165en_US
dc.identifier.issn2327-7955en_US
dc.identifier.issn2327-8749en_US
dc.identifier.slugcv-prod-4584722
dc.identifier.urihttp://hdl.handle.net/10400.8/14576
dc.language.isoeng
dc.peerreviewedyes
dc.publisherCommon Ground
dc.relationUIDB/05507/2020en_US
dc.relation.hasversionhttps://cgscholar.com/bookstore/works/artificial-intelligence-in-teacher-education
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectTeacher trainingen_US
dc.subjectEducaçãoen_US
dc.subjectMúsicaen_US
dc.subjectFormação de professoresen_US
dc.subjecttecnoloen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectDidáticaen_US
dc.subjectCriação Artísticaen_US
dc.titleArtificial Intelligence in Teacher Education: Exploring Pre-Service Teachers’ Perspectives Through Creative Music Projects for Professional Learningeng
dc.typeresearch articleen_US
dspace.entity.typePublication
oaire.citation.endPage165
oaire.citation.issue2en_US
oaire.citation.startPage143
oaire.citation.titleThe International Journal of Learning in Higher Educationen_US
oaire.citation.volume33en_US
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMilhano
person.givenNameSandrina
person.identifierhttps://scholar.google.com/citations?hl=pt-BR&user=ozO1F0AAAAAJ
person.identifier.ciencia-id4E12-804B-3E3F
person.identifier.orcid0000-0001-6747-9472
rcaap.cv.cienciaid4E12-804B-3E3F | Sandrina Milhano
rcaap.rightsopenAccessen_US
relation.isAuthorOfPublication07d14f14-c5c3-406f-b796-3be6dd4c351a
relation.isAuthorOfPublication.latestForDiscovery07d14f14-c5c3-406f-b796-3be6dd4c351a

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