Resumo

TORRES VERONA, Elizabeth; GUTIERREZ ODRIA DE REATEGUI, Marianne; REYES PEREZ, Moisés David  e  AGUSTIN PADILLA CABALLERO, Jesús Emilio. Artificial intelligence in music education for autonomous development in autistic students. Horizontes Rev. Inv. Cs. Edu. [online]. 2025, vol.9, n.37, pp.1293-1308.  Epub 24-Fev-2025. ISSN 2616-7964.  https://doi.org/10.33996/revistahorizontes.v9i37.984.

The integration of artificial intelligence in music education offers new opportunities to improve the learning of autistic students. This systematic review article aimed to analyze the Artificial Intelligence tools that promote autonomous development in students with Autism Spectrum Disorder in the context of music education. To do so, 8 studies published since 2020 were analyzed. The PRISMA method was used to structure the process. The findings indicated improvements in student learning and autonomy. The tools presented as specialized algorithms, elastic display, decision trees, robots and interactive applications, proved to be effective in adapting education to individual needs. However, barriers such as lack of teacher training and insufficient technological infrastructure were identified. It is concluded that the promotion of technological tools is necessary due to the scarcity of research in this field.

Palavras-chave : Artificial intelligence; Music education; Autism spectrum disorder; Autonomous development; Personalized learning.

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