Impact of music education on musical perception in professional musicians, amateur musicians, and non-musicians

Authors

DOI:

https://doi.org/10.33448/rsd-v11i11.33331

Keywords:

Education; Perception; Perception test; Musicians; Musical ability; Teaching.

Abstract

Musical perception is directly related to music education, which is influenced by several factors. This perception needs to be objectively characterized in the Brazilian population since there is no standard of music education applied equally by different training centers. The objective of the present study was to evaluate the musical perception of the Brazilian population through the Music Ear Test (MET) of professional, amateur, and non-musician musicians. The test effectively separated the group of professional musicians from the other groups. In the group of professional musicians, performance on the rhythmic subtest negatively correlates with age. In the group of amateur musicians, the performance in the melodic subtest was positively correlated with hours of musical study. The group of non-musicians was the only one in which the performance in the two sub-tests, melodic and rhythmic, was positively correlated.

Author Biographies

Liliane Martins Furtado Oliveira Lehtonen Souza, Universidade Federal do Paraná

Holds a Bachelor's degree in Piano Instrument, a Bachelor's degree in Music Therapy, and a Specialization in Brazilian Popular Music. Is currently a master's student at the Graduate Program in Education at the Federal University of Paraná.

Ricardo Lehtonen Rodrigues Souza, Universidade Federal do Paraná

Is currently an titular professor at the Federal University of Paraná. He has experience in Genetics, with emphasis on Human Genetics,including investigation of genes associated with musical perception, data analysis and R programming.

Valdomiro de Oliveira, Universidade Federal do Paraná

Is an associate professor at the Federal University of Paraná. He has a Masters and Doctorate in Physical Education. Coordinator of research projects in Education, Cognition, learning in Physical Education and sport.

Gislaine Cristina Vagetti, Universidade Estadual do Paraná

Is an associate professor at the State University of Paraná. She has a Master's and a PhD in Physical Education. Professor of the Graduate Program in Education at the Federal University of Paraná. Professor of the Graduate Program in Music at the State University of Paraná.

References

Bonde, L. O., Juel, K., & Ekholm, O. (2018). Associations between music and health-related outcomes in adult non-musicians, amateur musicians and professional musicians—Results from a nationwide Danish study. Nordic Journal of Music Therapy, 27(4), 262–282. https://doi.org/10.1080/08098131.2018.1439086

Bourdieu, P. (2007). Escritos de Educação. (9aEdição). Organização: Maria Alice Nogueira.

Bréscia, V. L. P. (2011). Educação Musical: bases psicológicas e ação preventiva. São Paulo: Átomo, 18–19.

Chen, K., Zhang, W., Dubnov, S., Xia, G., & Li, W. (2019). The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation. 2019 International Workshop on Multilayer Music Representation and Processing (MMRP), 77–84. https://doi.org/10.1109/mmrp.2019.00022

Chinaglia, A. P., & Paula, E. M. A. T. de. (2022). Aprendizagem Colaborativa no Ensino Superior: revisão de Literatura e análise de uma prática musical colaborativa. Research, Society and Development, 11(7), e11611729263. https://doi.org/10.33448/rsd-v11i7.29263

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555

Hansen, M., Wallentin, M., & Vuust, P. (2013). Working memory and musical competence of musicians and non-musicians. Psychology of Music, 41(6), 779–793. https://doi.org/10.1177/0305735612452186

Lima, C. F., Correia, A. I., Müllensiefen, D., & Castro, S. L. (2020). Goldsmiths Musical Sophistication Index (Gold-MSI): Portuguese version and associations with socio-demographic factors, personality and music preferences. Psychology of Music, 48(3), 376–388. https://doi.org/10.1177/0305735618801997

López-Íñiguez, G., & Bennett, D. (2020). A lifespan perspective on multi-professional musicians: does music education prepare classical musicians for their careers? Music Education Research, 22(1), 1–14. https://doi.org/10.1080/14613808.2019.1703925

Molina, S. (2012). A música na escola. Allucci & Associados Comunicações.

Molina, S. (2013). A canção popular e o ensino de música no Brasil. Música na Educação Básica, 88–99. https://doi.org/10.5151/9788580391664-02

Penna, M. (2008). Música(s) e seu ensino (1o ed). Sulina.

R Core Team. (2021). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

Saito, K., Suzukida, Y., Tran, M., & Tierney, A. (2021). Domain-General Auditory Processing Partially Explains Second Language Speech Learning in Classroom Settings: A Review and Generalization Study. Language Learning, 71(3), 669–715. https://doi.org/10.1111/lang.12447

Swaminathan, S., & Schellenberg, E. G. (2018). Musical Competence is Predicted by Music Training, Cognitive Abilities, and Personality. Scientific Reports, 8(1), 1–7. https://doi.org/10.1038/s41598-018-27571-2

Swanwick, K. (2001). Musical Development Theories Revisited. Music Education Research, 3(2), 227–242. https://doi.org/10.1080/14613800120089278

Wallentin, M., Nielsen, A. H., Friis-Olivarius, M., Vuust, C., & Vuust, P. (2010a). Corrigendum to “The Musical Ear Test, a new reliable test for measuring musical competence”. Learning and Individual Differences, 20(6), 705. https://doi.org/10.1016/j.lindif.2010.10.001

Wallentin, M., Nielsen, A. H., Friis-Olivarius, M., Vuust, C., & Vuust, P. (2010b). The Musical Ear Test, a new reliable test for measuring musical competence. Learning and Individual Differences, 20(3), 188–196. https://doi.org/10.1016/j.lindif.2010.02.004

Wong, S. S. H., Chen, S., & Lim, S. W. H. (2021). Learning melodic musical intervals: To block or to interleave? Psychology of Music, 49(4), 1027–1046. https://doi.org/10.1177/0305735620922595

Zentner, M., & Strauss, H. (2017). Assessing musical ability quickly and objectively: development and validation of the Short-PROMS and the Mini-PROMS. Annals of the New York Academy of Sciences, 1400(1), 33–45. https://doi.org/10.1111/nyas.13410

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Published

15/08/2022

How to Cite

SOUZA, L. M. F. O. L.; SOUZA, R. L. R.; OLIVEIRA, V. de .; VAGETTI, G. C. . Impact of music education on musical perception in professional musicians, amateur musicians, and non-musicians. Research, Society and Development, [S. l.], v. 11, n. 11, p. e53111133331, 2022. DOI: 10.33448/rsd-v11i11.33331. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/33331. Acesso em: 22 nov. 2024.

Issue

Vol. 11 No. 11

Section

Teaching and Education Sciences

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Copyright (c) 2022 Liliane Martins Furtado Oliveira Lehtonen Souza; Ricardo Lehtonen Rodrigues Souza; Valdomiro de Oliveira; Gislaine Cristina Vagetti

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