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Dyad practice facilitates motor learning in music
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  • Published: 16 March 2026

Dyad practice facilitates motor learning in music

  • Tristan Loria1,
  • Gloria Tian2,
  • April Karlinsky3,
  • Timothy Roth4,
  • Emma Burke-Kleinman2,
  • Jason J. Zhang5,
  • Bina John2,
  • Aiyun Huang4 &
  • …
  • Michael H. Thaut2 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Human behaviour
  • Motor control

Abstract

Practice conditions that replicate performance environments can enhance motor learning. Dyad practice, where learners alternate between physical practice and observing a partner, offers a promising approach to music training by combining motor learning principles with collaborative strategies. This study examined whether dyad practice enhanced motor learning in novice marimba players compared to individual practice. Seventy-three university-trained musicians, who were naïve to marimba playing, were assigned to one of three groups: individual practice, dyad-full (physical plus observation), or dyad-half (reduced physical plus observation). Participants completed acquisition, retention, and transfer tests using mallet endpoint error as the primary measure. Acquisition analysis revealed that only the dyad groups improved right-mallet accuracy, while the individual group showed no such gains. At retention, performance advantages were observed only in the dyad-full group, likely due to greater overall task exposure. Critically, both dyad groups outperformed the individual group on transfer, indicating superior generalization of motor skills. These findings extend dyad training principles to musical motor learning and highlight its potential to improve training efficiency and promote equity in music education by enabling shared resources and collaborative learning environments.

Data availability

The raw data used to generate the conclusions reported in this manuscript will be made available upon request to the corresponding author.

References

  1. Proteau, L., Marteniuk, R. G. & Lévesque, L. A sensorimotor basis for motor learning: Evidence indicating specificity of practice. Q. J. Exp. Psychol. 44 (4), 557–575 (1992).

    Google Scholar 

  2. Tremblay, L. & Proteau, L. Specificity of practice: The case of powerlifting. Res. Q. Exerc. Sport. 69 (3), 284–289 (1998).

    Google Scholar 

  3. Andrews, B. W. Musical contracts: Fostering student participation in the instructional process. Int. J. Music Educ. 22 (3), 219–229 (2004).

    Google Scholar 

  4. Brenner, B. & Strand, K. A case study of teaching musical expression to young performers. J. Res. Music Educ. 61 (1), 80–96 (2013).

    Google Scholar 

  5. Butler, A. Preservice music teachers’ conceptions of teaching effectiveness, microteaching experiences, and teaching performance. J. Res. Music Educ. 49 (3), 258–272 (2001).

    Google Scholar 

  6. Concina, E. Effective music teachers and effective music teaching today: A systematic review. Educ. Sci. 13 (1), 1–22 (2023).

    Google Scholar 

  7. Ommundsen, Y. & Vaglum, P. The influence of low perceived soccer and social competence on later dropout from soccer: A prospective study of young boys. Scand. J. Med. Sci. Sports. 1 (3), 180–188 (1991).

    Google Scholar 

  8. Roberts, G. C., Kleiber, D. A. & Duda, J. L. An analysis of motivation in children’s sport: The role of perceived competence in participation. J. Sport Psychol. 3 (3), 206–216 (2016).

    Google Scholar 

  9. Gumm, A. J. Music motivation depends on what to motivate: Research review of Gumm’s music teaching and conducting models. Front. Psychol. 14, 1293872. https://doi.org/10.3389/fpsyg.2023.1293872 (2023).

    Google Scholar 

  10. Biasutti, M. & Concina, E. The role of coping strategy and experience in predicting music performance anxiety. Musicae Sci. 18 (2), 189–202. https://doi.org/10.1177/1029864914523282 (2014).

    Google Scholar 

  11. Jeannerod, M. Neural simulation of action: A unifying mechanism for motor cognition. NeuroImage 14 (1), 103–109 (2001).

    Google Scholar 

  12. Prinz, W. Perception and action planning. Eur. J. Cogn. Psychol. 9 (2), 129–154 (1997).

    Google Scholar 

  13. Rizzolatti, G. & Craighero, L. The mirror-neuron system. Annu. Rev. Neurosci. 27, 169–192 (2004).

    Google Scholar 

  14. Sebanz, N., Knoblich, G. & Prinz, W. Representing others’ actions: Just like one’s own? Cognition 88 (3), 11–21 (2003).

    Google Scholar 

  15. Lahav, A., Saltzman, E. & Schlaug, G. Action representation of sound: Audiomotor recognition network while listening to newly acquired actions. J. Neurosci. 27 (2), 308–314 (2007).

    Google Scholar 

  16. Engel, A. et al. Learning piano melodies in visuo–motor or audio–motor training conditions and the neural correlates of their cross–modal transfer. NeuroImage 63 (2), 966–978. https://doi.org/10.1016/j.neuroimage.2012.03.038 (2012).

    Google Scholar 

  17. Ernst, M. O. & Bülthoff, H. H. Merging the senses into a robust percept. Trends Cogn. Sci. 8 (4), 162–169. https://doi.org/10.1016/j.tics.2004.02.002 (2004).

    Google Scholar 

  18. Reybrouck, M. & Schiavio, A. Music performance as knowledge acquisition: A review and preliminary conceptual framework. Front. Psychol. 15, 1331806. https://doi.org/10.3389/fpsyg.2024.1331806 (2024).

    Google Scholar 

  19. Reybrouck, M. Musical sense making: enaction, experience, and computation (Routledge/Taylor & Francis Group, 2021).

  20. Karlinsky, A., Welsh, T. N. & Hodges, N. J. Learning together: Observation and other mechanisms which mediate shared practice contexts. In: (eds Hodges, N. J. & Williams, A. M.) Skill acquisition in sport: Research, theory and practice. London (UK): Routledge; 141–162. (2019).

    Google Scholar 

  21. Karlinsky, A. & Hodges, N. J. Turn-taking and concurrent dyad practice aid efficiency but not effectiveness of motor learning in a balance-related task. J. Mot Learn. Dev. 6 (1), 35–52 (2018).

    Google Scholar 

  22. Panzer, S., Haab, T., Massing, M., Pfeifer, C. & Shea, C. H. Dyad training protocols and the development of a motor sequence representation. Acta Psychol. 201, 102947 (2019).

    Google Scholar 

  23. Brillinger, M., Karlinsky, A. & Patterson, J. Examining learner-controlled role-switching in dyad practice for the learning of a speed cup-stacking task. J. Mot Behav. 56 (2), 211–225. https://doi.org/10.1080/00222895.2023.2283538 (2024).

    Google Scholar 

  24. Karlinsky, A. & Hodges, N. J. Dyad practice impacts self-directed practice behaviours and motor learning outcomes in a contextual interference paradigm. J. Mot Behav. 50 (5), 579–589 (2018).

    Google Scholar 

  25. Karlinsky, A. & Hodges, N. J. Manipulations to practice organization of golf putting skills through interleaved matched or mismatched practice with a partner. Hum. Mov. Sci. 66, 231–240 (2019).

    Google Scholar 

  26. Scott, M. W. et al. Short-term evidence of partner-induced performance biases in simultaneous and alternating dyad practice in golf. Sci. Rep. 13, 48133 (2023).

    Google Scholar 

  27. Abbott, E. F. et al. Comparison of dyad versus individual simulation-based training on stress, anxiety, cognitive load, and performance: A randomized controlled trial. BMC Med. Educ. 21, 367. https://doi.org/10.1186/s12909-021-02786-6 (2021).

    Google Scholar 

  28. Saccardi, D. J. Research-to-resource: Peer-assisted learning in the music program. Update. Appl. Res. Music Educ. 41 (2), 15–19. https://doi.org/10.1177/87551233221084366 (2022).

    Google Scholar 

  29. Elpus, K. Evaluating the effect of no child left behind on U.S. music course enrollments. J. Res. Music Educ. 62 (2), 215–233 (2014).

    Google Scholar 

  30. Kinney, D. W. Selected nonmusic predictors of urban students’ decisions to enroll and persist in middle and high school music ensemble electives. J. Res. Music Educ. 67 (1), 23–44 (2019).

    Google Scholar 

  31. Hartenberger, R. (ed) The Cambridge companion to percussion (Cambridge University Press, 2016).

  32. Stevens, L. H. Method of movement for marimba 5th edn (Keyboard Percussion, 2000).

  33. Loria, T. et al. The impact of limb velocity variability on mallet accuracy in marimba performance. J. Mot Behav. 54 (6), 694–705 (2022).

    Google Scholar 

  34. Buchanan, J. J. & Dean, N. J. Specificity in practice benefits learning in novice models and variability in demonstration benefits observational practice. Psychol. Res. 74 (3), 313–326 (2010).

    Google Scholar 

  35. Hayes, S. J., Elliott, D. & Bennett, S. J. General motor representations are developed during action-observation. Exp. Brain Res. 204 (2), 199–206 (2010).

    Google Scholar 

  36. Shea, C. H., Wright, D. L., Wulf, G. & Whitacre, C. Physical and observational practice afford unique learning opportunities. J. Mot Behav. 32 (1), 27–36 (2000).

    Google Scholar 

  37. Loria, T., Huang, A., Henechowicz, T. & Thaut, M. Computational approaches to music motor performance: Clustering of percussion kinematics underlying performance style. Front. Psychol. 16, 725016 (2021).

    Google Scholar 

  38. Loria, T., Duinker, B., Roth, T., Huang, A. & Thaut, M. H. Please unmute your microphone: Comparing the effectiveness of remote versus in-person percussion training. Musicae Sci. 28 (2), 331–347 (2024).

    Google Scholar 

  39. Ryan, R. M. Control and information in the intrapersonal sphere: An extension of cognitive evaluation theory. J. Pers. Soc. Psychol. 43 (3), 450–461. https://doi.org/10.1037/0022-3514.43.3.450 (1982).

    Google Scholar 

  40. Ryan, R. M., Mims, V. & Koestner, R. Relation of reward contingency and interpersonal context to intrinsic motivation: A review and test using cognitive evaluation theory. J. Pers. Soc. Psychol. 45 (4), 736–750. https://doi.org/10.1037/0022-3514.45.4.736 (1983).

    Google Scholar 

  41. Ryan, R. M., Connell, J. P. & Plant, R. W. Emotions in nondirected text learning. Learn. Individ Differ. 2 (1), 1–17. https://doi.org/10.1016/1041-6080(90)90014-4 (1990).

    Google Scholar 

  42. Ryan, R. M., Koestner, R. & Deci, E. L. Ego-involved persistence: When free-choice behavior is not intrinsically motivated. Motiv Emot. 15 (3), 185–205. https://doi.org/10.1007/BF00995170 (1991).

    Google Scholar 

  43. Gentile, A. M. Skill acquisition: Action, movement, and neuromotor processes. In: (eds Carr, J. H. & Shepherd, R. D.) Movement science: Foundations for physical therapy. 2nd ed. Rockville (MD): Aspen; 111–187. (2000).

    Google Scholar 

  44. Sanes, J. N. & Schieber, M. H. Orderly somatotopy in primary motor cortex: Does it exist? NeuroImage 13 (6), 968–974 (2001).

    Google Scholar 

  45. Ericsson, K. A., Krampe, R. T. & Tesch-Römer, C. The role of deliberate practice in the acquisition of expert performance. Psychol. Rev. 100 (3), 363–406 (1993).

    Google Scholar 

  46. Granados, C. & Wulf, G. Enhancing motor learning through dyad practice: Contributions of observation and dialogue. Res. Q. Exerc. Sport. 78 (3), 197–203 (2007).

    Google Scholar 

  47. Baddeley, A. D. & Longman, D. J. A. The influence of length and frequency of training session on the rate of learning to type. Ergonomics 21 (8), 627–635 (1978).

    Google Scholar 

  48. Soderstrom, N. C. & Bjork, R. A. Learning versus performance: An integrative review. Perspect. Psychol. Sci. 10 (2), 176–199 (2015).

    Google Scholar 

  49. Bégel, V., Demos, A. P. & Palmer, C. Duet synchronization interventions affect social interactions. Sci. Rep. 14, 9930. https://doi.org/10.1038/s41598-024-60485-w (2024).

    Google Scholar 

  50. Palmer, C. Sequence memory in music performance. Curr. Dir. Psychol. Sci. 14 (5), 247–250 (2005).

    Google Scholar 

  51. Schellenberg, E. G., Stalinski, S. M. & Marks, B. M. Memory for surface features of unfamiliar melodies: Independent effects of changes in pitch and tempo. Psychol. Res. 78 (1), 84–95 (2014).

    Google Scholar 

  52. Tan, N., Aiello, R. & Bever, T. G. Harmonic structure as a determinant of melodic organization. Mem. Cognit. 9 (5), 533–539 (1981).

    Google Scholar 

  53. Dowling, W. J. & Fujitani, D. S. Contour, interval, and pitch recognition in memory for melodies. J. Acoust. Soc. Am. 49 (2), 524–531 (1971).

    Google Scholar 

  54. Loria, T. et al. Combined imagery/physical practice yields comparable benefits to physical practice in snare drum performance. J. Mot Behav. 57 (4), 377–390. https://doi.org/10.1080/00222895.2025.2501577 (2025).

    Google Scholar 

  55. Sai, Y. Online music learning based on digital multimedia for virtual reality. Interact. Learn. Environ. 32 (5), 1751–1762. https://doi.org/10.1080/10494820.2022.2127779 (2024).

    Google Scholar 

  56. Zhang, J. Practical research on the assistance of music art teaching based on virtual reality technology. Wirel. Commun. Mob. Comput. https://doi.org/10.1155/2022/847904 (2022).

    Google Scholar 

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Funding

This work was supported by the Social Sciences and Humanities Research Council of Canada.

Author information

Authors and Affiliations

  1. Department of Kinesiology and Educational Psychology, College of Education, Sport, and Human Sciences, Washington State University, Pullman, USA

    Tristan Loria

  2. Music and Health Research Collaboratory, Faculty of Music, University of Toronto, Toronto, Canada

    Gloria Tian, Emma Burke-Kleinman, Bina John & Michael H. Thaut

  3. Department of Kinesiology, California State University, San Bernardino, USA

    April Karlinsky

  4. Technology and Performance Integration Research Lab, Faculty of Music, University of Toronto, Toronto, Canada

    Timothy Roth & Aiyun Huang

  5. Division of Engineering Science and Biomedical Engineering, University of Toronto, Toronto, Canada

    Jason J. Zhang

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Contributions

TL & AK designed the study, procured funding, analysed the data, and wrote the manuscript. GT oversaw data collection and wrote the manuscript. TR collected data, developed the MAX MSP patch, and performed the note onset detection analysis. EBK collected data and conducted the survey analysis. JJZ wrote the mallet endpoint analysis script, BJ helped with recruitment, AH & MHT procured funding.

Corresponding author

Correspondence to Tristan Loria.

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The authors declare no competing interests.

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Cite this article

Loria, T., Tian, G., Karlinsky, A. et al. Dyad practice facilitates motor learning in music. Sci Rep (2026). https://doi.org/10.1038/s41598-026-43485-w

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  • Received: 02 April 2025

  • Accepted: 04 March 2026

  • Published: 16 March 2026

  • DOI: https://doi.org/10.1038/s41598-026-43485-w

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