AI competency levels and teaching profiles
a multivariate analysis in the field of Music education
DOI:
https://doi.org/10.46661/ijeri.13249Keywords:
Artificial intelligence, music education, digital teaching competence, primary education, educational innovation, multivariate analysisAbstract
This research analyzes the level of Artificial Intelligence competency in a sample of 387 primary school music teachers in Spain to determine the degree of transfer of these resources to their teaching practice. Under a non-experimental and quantitative design, the validated ECIA-EMUS scale was applied, evaluating dimensions ranging from technical understanding and pedagogical integration to ethical use and specific training. The results reveal a hierarchy of domains where the group's main strength lies in ethical and inclusive use, while the greatest vulnerability is located in operational integration within teaching-learning processes. Inferential analysis confirms that age is the contextual factor with the greatest predictive weight, evidencing a significant generational gap in technological readiness. Likewise, multivariate cluster analysis allowed for the identification of three distinct profiles: initial literacy, intermediate competency, and digital leadership. It is concluded that a dichotomy exists between deontological commitment and actual technical capacity, positioning specific training as the fundamental driver for transposing the theoretical framework into effective classroom practice that enhances musical creativity and inclusion.
Downloads
References
Adeleye, O. O., Eden, C. A., & Adeniyi, I. S. (2024). Innovative teaching methodologies in the era of artificial intelligence: A review of inclusive educational practices. World Journal of Advanced Engineering Technology and Sciences, 11(2), 69-79. https://doi.org/10.30574/wjaets.2024.11.2.0091
Alwaqdani, M. (2025). Investigating teachers’ perceptions of artificial intelligence tools in education: potential and difficulties. Education and Information Technologies, 30(3), 2737-2755. https://doi.org/10.1007/s10639-024-12903-9
Camarasa Botella, C. (2025). Inteligencia artificial en la educación musical: un análisis de oportunidades y desafíos, contextualizados en la danza, las artes visuales y el teatro. Cuadernos de Investigación Artística, 1(1), 5-17. https://n9.cl/bzk83
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66(4), 616-630. https://doi.org/10.1007/s11528-022-00715-y
Chalkiadakis, A., Seremetaki, A., Kanellou, A., Kallishi, M., Morfopoulou, A., Moraitaki, M., & Mastrokoukou, S. (2024). Impact of artificial intelligence and virtual reality on educational inclusion: A systematic review of technologies supporting students with disabilities. Education Sciences, 14(11), 1223. https://doi.org/10.3390/educsci14111223
Danyaro, K. U., Abdullahi, S., Abdallah, A. S., & Chiroma, H. (2025). Hallucinations in large language models for education: Challenges and mitigation. International Journal of Teaching, Learning and Education, 4(6), 639993. https://doi.org/10.22161/ijtle.4.6.2
Elsayed, H. (2024). The impact of hallucinated information in large language models on student learning outcomes: A critical examination of misinformation risks in AI-assisted education. Northern Reviews on Algorithmic Research, Theoretical Computation, and Complexity, 9(8), 11-23. https://n9.cl/dkx6y
Galindo Durán, A. G. (2023). Integración de la inteligencia artificial en la enseñanza de las artes plásticas. Revista de ciencias sociales, 29(4), 17-29. https://doi.org/10.31876/rcs.v29i4.41256
Gofman, M., & Jin, Z. (2024). Artificial intelligence, education, and entrepreneurship. The Journal of Finance, 79(1), 631-667. https://doi.org/10.1111/jofi.13302
Hooda, M., Rana, C., Dahiya, O., Rizwan, A., & Hossain, M. S. (2022). Artificial intelligence for assessment and feedback to enhance student success in higher education. Mathematical Problems in Engineering, 2022(1), 5215722. https://doi.org/10.1155/2022/5215722
Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001
Jiménez-Hernández, D., González-Calatayud, V., Torres-Soto, A., Martinez Mayoral, A., & Morales, J. (2020). Digital competence of future secondary school teachers: Differences according to gender, age, and branch of knowledge. Sustainability, 12(22), 9473. https://doi.org/10.3390/su12229473
Lan, Y. (2024). Through tensions to identity-based motivations: Exploring teacher professional identity in Artificial Intelligence-enhanced teacher training. Teaching and Teacher Education, 151, 104736. https://doi.org/10.1016/j.tate.2024.104736
Lee, Y. J., Davis, R. O., & Ryu, J. (2024). Korean in-service teachers’ perceptions of implementing artificial intelligence (AI) education for teaching in schools and their AI teacher training programs. International Journal of Information and Education Technology, 14(2), 214-219. https://doi.org/10.18178/ijiet.2024.14.2.2042
Lis Gutiérrez, J. P., & Pulido-Flórez, J. (2024). Creaciones artísticas musicales e Inteligencia Artificial (2019-2022). El oído pensante, 12(1), 80-99. https://doi.org/10.34096/oidopensante.v12n1.12176
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
Oluwakemi, O., Abimbola, C., & Adeniyi, I. S. (2024). Innovative teaching methodologies in the era of artificial intelligence: A review of inclusive educational practices. World Journal of Advanced Engineering Technology and Sciences, 11(2), 069-079. https://doi.org/10.30574/wjaets.2024.11.2.0091
Owoc, M. L., Sawicka, A., & Weichbroth, P. (2019). Artificial intelligence technologies in education: benefits, challenges and strategies of implementation. In IFIP international workshop on artificial intelligence for knowledge management (pp. 37-58). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-85001-2_4
Paidican Soto, M. A., Gros Salvat, B., & Arredondo Herrera, P. (2024). Technopedagogical and disciplinary knowledge of primary school teachers in different socio-demographic contexts. Campus virtuales, 13(1). https://doi.org/10.54988/cv.2024.1.1296
Real Decreto 157/2022, de 1 de marzo, por el que se establecen la ordenación y las enseñanzas mínimas de la Educación Primaria. Boletín Oficial del Estado. 52, 2 de marzo de 2022. https://n9.cl/vuepg
Real Decreto 1594/2011, de 4 de noviembre, por el que se establecen las especialidades docentes del Cuerpo de Maestros que desempeñen sus funciones en las etapas de Educación Infantil y de Educación Primaria reguladas en la Ley Orgánica 2/2006, de 3 de mayo, de Educación. Boletín Oficial del Estado, 270, 9 de noviembre de 2011. https://n9.cl/ibw5yt
Shoukat, W., Rizwan, N., & Khan, M. T. (2025). The role of artificial intelligence (AI) tutors in personalized learning: Benefits and challenges. Journal of Social Signs Review, 3(4), 1-13. https://n9.cl/qasqa
Soylu, Y., & Sağkal, A. S. (2019). Gender perceptions of prospective teachers: the role of socio-demographic factors. International Online Journal of Educational Sciences, 11(2), 201-213. https://doi.org/10.15345/iojes.2019.02.013
Unesco (2024b). AI competency framework for teachers. United Nations Educational, Scientific and Cultural organization. https://doi.org/10.54675/ZJTE2084
Wu, W., Burdina, G., & Gura, A. (2023). Use of artificial intelligence in teacher training. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 18(1), 1-15. https://doi.org/10.4018/IJWLTT.331692
Zaragozà, J. L. (2024). Las competencias musicales en primaria y secundaria: Transcendiendo los límites del aula de música. Editorial Graó.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Santiago Pozo-Sánchez, Jesús López-Belmonte, Gonzalo Benítez Aguilar, Rui-Manuel Nunes-Corredeira

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.




