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
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).
Tremblay, L. & Proteau, L. Specificity of practice: The case of powerlifting. Res. Q. Exerc. Sport. 69 (3), 284–289 (1998).
Andrews, B. W. Musical contracts: Fostering student participation in the instructional process. Int. J. Music Educ. 22 (3), 219–229 (2004).
Brenner, B. & Strand, K. A case study of teaching musical expression to young performers. J. Res. Music Educ. 61 (1), 80–96 (2013).
Butler, A. Preservice music teachers’ conceptions of teaching effectiveness, microteaching experiences, and teaching performance. J. Res. Music Educ. 49 (3), 258–272 (2001).
Concina, E. Effective music teachers and effective music teaching today: A systematic review. Educ. Sci. 13 (1), 1–22 (2023).
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).
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).
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).
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).
Jeannerod, M. Neural simulation of action: A unifying mechanism for motor cognition. NeuroImage 14 (1), 103–109 (2001).
Prinz, W. Perception and action planning. Eur. J. Cogn. Psychol. 9 (2), 129–154 (1997).
Rizzolatti, G. & Craighero, L. The mirror-neuron system. Annu. Rev. Neurosci. 27, 169–192 (2004).
Sebanz, N., Knoblich, G. & Prinz, W. Representing others’ actions: Just like one’s own? Cognition 88 (3), 11–21 (2003).
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).
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).
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).
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).
Reybrouck, M. Musical sense making: enaction, experience, and computation (Routledge/Taylor & Francis Group, 2021).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
Hartenberger, R. (ed) The Cambridge companion to percussion (Cambridge University Press, 2016).
Stevens, L. H. Method of movement for marimba 5th edn (Keyboard Percussion, 2000).
Loria, T. et al. The impact of limb velocity variability on mallet accuracy in marimba performance. J. Mot Behav. 54 (6), 694–705 (2022).
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).
Hayes, S. J., Elliott, D. & Bennett, S. J. General motor representations are developed during action-observation. Exp. Brain Res. 204 (2), 199–206 (2010).
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).
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).
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).
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).
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).
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).
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).
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).
Sanes, J. N. & Schieber, M. H. Orderly somatotopy in primary motor cortex: Does it exist? NeuroImage 13 (6), 968–974 (2001).
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).
Granados, C. & Wulf, G. Enhancing motor learning through dyad practice: Contributions of observation and dialogue. Res. Q. Exerc. Sport. 78 (3), 197–203 (2007).
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).
Soderstrom, N. C. & Bjork, R. A. Learning versus performance: An integrative review. Perspect. Psychol. Sci. 10 (2), 176–199 (2015).
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).
Palmer, C. Sequence memory in music performance. Curr. Dir. Psychol. Sci. 14 (5), 247–250 (2005).
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).
Tan, N., Aiello, R. & Bever, T. G. Harmonic structure as a determinant of melodic organization. Mem. Cognit. 9 (5), 533–539 (1981).
Dowling, W. J. & Fujitani, D. S. Contour, interval, and pitch recognition in memory for melodies. J. Acoust. Soc. Am. 49 (2), 524–531 (1971).
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).
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).
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).
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This work was supported by the Social Sciences and Humanities Research Council of Canada.
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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.
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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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DOI: https://doi.org/10.1038/s41598-026-43485-w