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ARTIGOS

Vol. 14 (2026): Percepta - Revista de Cognição Musical

Keeping the Pitch in Mind: A Case Study of Intonational Awareness in a Violin Student with Dyscalculia

DOI
https://doi.org/10.34018/2318-891X.14e026007
Submitted
June 29, 2026
Published
2026-10-27

Abstract

Bowed-string intonation requires constant self-correction via an internal pitch reference (Keller, 2012; Zatorre et al., 2007), a magnitude-judgment process tied to the intraparietal sulcus (Schwenzer & Mathiak, 2011) – a region known to function atypically in dyscalculia (Kaufmann et al., 2008), possibly compromising pitch monitoring in individual practice. The study asks whether reinforcing this internal reference through multisensory training can improve intonation in a violin student with dyscalculia. Four strategies were combined: vocalization, guided-active listening, kinesthetic interval mapping, and sing-play transfer. Video recordings of lessons and practice were scored by two raters on consistency, self-regulation, and pitch anticipation, alongside self-reflection. Results showed steady gains on all parameters, supporting the role of internal pitch reference training for intonational autonomy in dyscalculia.

References

  1. American Psychiatric Association. (2022). Diagnostic and statistical manual of mental disorders (5th ed., text rev.). https://doi.org/10.1176/appi.books.9780890425787
  2. Bergonzi, L. (1997). Effects of finger markers and harmonic context on performance of beginning string students. Journal of Research in Music Education, 45(2), 197–211. https://doi.org/10.2307/3345580
  3. Blanchet, C., & Assaiante, C. (2022). Specific learning disorders and motor disorders: A scoping review on comorbidities. Children, 9(6), 892. https://doi.org/10.3390/children9060892
  4. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
  5. Butterworth, B. (1999). The mathematical brain. Macmillan.
  6. Castaldi, E., Tinelli, F., Di Filippo, G., Bartoli, M., & Anobile, G. (2024). Auditory time perception impairment in children with developmental dyscalculia. Research in Developmental Disabilities, 149, 104733. https://doi.org/10.1016/j.ridd.2024.104733
  7. Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1), 37–46. https://doi.org/10.1177/001316446002000104
  8. Cox, A. (2016). Music and embodied cognition: Listening, moving, feeling, and thinking. Indiana University Press.
  9. Denzin, N. K., & Lincoln, Y. S. (Eds.). (2011). The SAGE handbook of qualitative research (4th ed.). SAGE Publications.
  10. Dormal, V., & Pesenti, M. (2009). Common and specific contributions of the intraparietal sulci to numerosity and length processing. Human Brain Mapping, 30(8), 2466–2476. https://doi.org/10.1002/hbm.20677
  11. Evans, P., & Liu, M. Y. (2019). Psychological needs and motivational outcomes in a high school orchestra program. Journal of Research in Music Education, 67(1), 83–105. https://doi.org/10.1177/0022429418812769
  12. Geringer, J. M., & Madsen, C. K. (1981). Verbal and operant discrimination/preference for tone quality and intonation. Psychology of Music, 9(1), 26–30. https://doi.org/10.1177/03057356810090010501
  13. Geringer, J. M., MacLeod, R. B., & Allen, M. L. (2015). Perceived pitch of violin and cello vibrato tones among music majors. Journal of Research in Music Education, 63(3), 339–355. https://doi.org/10.1177/0022429409350510
  14. Gordon, E. E. (1989). Audiation, Music Learning Theory, Music Aptitude, and Creativity. Sunbury, OH: GIA Publications.
  15. Jaques-Dalcroze, É. (1921). Rhythm, music and education (H. F. Rubinstein, Trans.). Putnam.
  16. Johnson, B. (2004). Expressive intonation in string performance. Routledge.
  17. Kanno, M. (2003). Thoughts on how to play in tune: Pitch and the violinist. Contemporary Music Review, 22(1–2), 35–52. https://doi.org/10.1080/0749446032000134733
  18. Kaufmann, L., Vogel, S. E., Wood, G., Kremser, C., Schocke, M., Zimmerhackl, L. B., & Koten, J. W. (2008). A developmental fMRI study of nonsymbolic numerical and spatial processing. Cortex, 44(4), 376–385. https://doi.org/10.1016/j.cortex.2007.08.003
  19. Keller, P. E. (2012). Mental imagery in music performance: Underlying mechanisms and potential benefits. Annals of the New York Academy of Sciences, 1252(1), 206–213. https://doi.org/10.1111/j.1749-6632.2011.06439.x
  20. Kivijärvi, S. (2019). Applicability of an applied music notation system: A case study of Figurenotes. International Journal of Music Education, 37(4), 654–666. https://doi.org/10.1177/0255761419845475
  21. Kucian, K., Zuber, I., Kohn, J., Poltz, N., Wyschkon, A., Esser, G., & von Aster, M. (2018). Relation between mathematical performance, math anxiety, and affective priming in children with and without developmental dyscalculia. Frontiers in Psychology, 9, 263. https://doi.org/10.3389/fpsyg.2018.00263
  22. López-Calatayud, F., & Tejada, J. (2023). Self-efficacy in instrumental practice with intonation assessment software: A multiple case study with novice violin and viola students. Journal of Music, Technology & Education, 16(1–2), 57–76. https://doi.org/10.1386/jmte_00060_1
  23. Morrison, S. J., & Fyk, J. (2002). Intonation. In R. Parncutt & G. E. McPherson (Eds.), The science and psychology of music performance (pp. 183–197). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195138108.003.0012
  24. Pardue, L. S., & McPherson, A. (2019). Real-time aural and visual feedback for improving violin intonation. Frontiers in Psychology, 10, 627. https://doi.org/10.3389/fpsyg.2019.00627
  25. Patton, M. Q. (2002). Qualitative research and evaluation methods (3rd ed.). SAGE Publications.
  26. Richards, C. V. (2025). Kodály for string teachers. American String Teacher, 75(3), 34–37. https://doi.org/10.1177/00031313251349502
  27. Rubinsten, O., & Tannock, R. (2010). Mathematics anxiety in children with developmental dyscalculia. Behavioral and Brain Functions, 6(1), 46. https://doi.org/10.1186/1744-9081-6-46
  28. Schmidt, R. A., & Wrisberg, C. A. (2000). Motor learning and performance (2nd ed.). Human Kinetics.
  29. Schwenzer, M., & Mathiak, K. (2011). Numeric aspects in pitch identification: An fMRI study. BMC Neuroscience, 12, 26. https://doi.org/10.1186/1471-2202-12-26
  30. Seashore, C. E. (1938). Psychology of music. McGraw-Hill.
  31. Steenstrup, K., Haumann, N. T., Kleber, B., Camarasa, C., Vuust, P., & Petersen, B. (2021). Imagine, sing, play: Combined mental, vocal and physical practice improves musical performance. Frontiers in Psychology, 12, 757052. https://doi.org/10.3389/fpsyg.2021.757052
  32. Tejada, J., & Fernández-Villar, M. Á. (2023). Design and validation of software for the training and automatic evaluation of music intonation on non-fixed pitch instruments for novice students. Education Sciences, 13(9), 860. https://doi.org/10.3390/educsci13090860
  33. Trinchero, R. (2002). Manuale di ricerca educativa. FrancoAngeli.
  34. Watts, C. R., Moore, R., & McCaghren, K. (2005). The relationship between vocal pitch-matching skills and pitch discrimination skills in trained singers and untrained individuals. Journal of Voice, 19(4), 534–543. https://doi.org/10.1016/j.jvoice.2004.09.001
  35. Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.
  36. Zabanal, J.-R. A. (2019). Effects of short-term practice with a tonic drone accompaniment on middle and high school violin and viola intonation. String Research Journal, 9, 51–61. https://doi.org/10.1177/1948499219851407
  37. Zatorre, R. J., Chen, J. L., & Penhune, V. B. (2007). When the brain plays music: Auditory–motor interactions in music perception and production. Nature Reviews Neuroscience, 8(7), 547–558. https://doi.org/10.1038/nrn2152

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