We asked school- and college-aged instrumentalists (N = 32) to imagine an ideal performance of a brief passage of music, record a performance of the passage, and describe discrepancies they noticed between their imagined and actual performances. The more experienced participants took at least as much time to imagine their idealized performances as it took to perform them; less experienced participants took less time to imagine what they were about to play. There were no differences among experience levels in the numbers or types of discrepancies identified. The differences between more and less experienced participants were also evident in a subsequent practice period. More experienced musicians’ practice included more frequent moments of pause, whereas school-aged participants seldom paused and tended to address performance issues other than those identified in their commentaries.
BarryN. H. (1992). The effects of practice strategies, individual differences in cognitive style, and gender upon technical accuracy and musicality of student instrumental performance. Psychology of Music, 20(2), 112–123. https://doi.org/10.1177/0305735692202002
2.
BeilockS. L.BertenthalB. I.McCoyA. M.CarrT. H. (2004). Haste does not always make waste: Expertise, direction of attention, and speed versus accuracy in performing sensorimotor skills. Psychonomic Bulletin & Review, 11(2), 373–379. https://doi.org/10.3758/BF03196585
3.
BeilockS. L.CarrT. H.MacMahonC.StarkesJ. L. (2002). When paying attention becomes counterproductive: Impact of divided versus skill-focused attention on novice and experienced performance of sensorimotor skills. Journal of Experimental Psychology, 8(1), 6–16. https://doi.org/10.1037//1076-898X.8.1.6
4.
BrownR. M.PalmerC. (2013). Auditory and motor imagery modulate learning in music performance. Frontiers in Human Neuroscience, 7, Article 320. https://doi.org/10.3389/fnhum.2013.00320
5.
BurwellK.ShiptonM. (2011). Performance studies in practice: An investigation of students’ approaches to practice in a university music department. Music Education Research, 13(3), 255–271. https://doi.org/10.1080/14613808.2011.603041
6.
BurwellK.ShiptonM. (2013). Strategic approaches to practice: An action research project. British Journal of Music Education, 30(3), 329–345. https://doi.org/10.1017/S0265051713000132
7.
CahnD. (2008). The effects of varying ratios of physical and mental practice, and task difficulty on performance of a tonal pattern. Psychology of Music, 36(2), 179–191. https://doi.org/10.1177/0305735607085011
8.
CoffmanD. D. (1990). Effects of mental practice, physical practice, and knowledge of results on piano performance. Journal of Research in Music Education, 38(3), 187–196. https://doi.org/10.2307/3345182
DukeR. A. (2020). Scribe 5 (for observation and assessment). Learning & Behavior Resources.
11.
DukeR. A.SimmonsA. L. (2006). The nature of expertise: Narrative descriptions of 19 common elements observed in the lessons of three renowned artist-teachers. Bulletin of the Council for Research in Music Education, 170, 7–19.
12.
DukeR. A.SimmonsA. L.CashC. D. (2009). It’s not how much; it’s how: Characteristics of practice behavior and retention of performance skills. Journal of Research in Music Education, 56(4), 310–321. https://doi.org/10.1177/0022429408328851
13.
EricssonK. A.KrampeR. T.Tesch-RömerC. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363–406. https://doi.org/10.1037/0033-295X.100.3.363
14.
FortneyP. M. (1992). The effect of modeling and silent analysis on the performance effectiveness of advanced instrumentalists. Research Perspectives in Music Education, 3, 18–21.
15.
HallamS. (2001). The development of metacognition in musicians: Implications for education. British Journal of Music Education, 18(01), 27–39. https://doi.org/10.1017/S0265051701000122
16.
HallamS.CreechA.VarvarigouM.PapageorgiI. (2020). Are there differences in practice depending on the instrument played?Psychology of Music, 48(6), 745–765. https://doi.org/10.1177/0305735618816370
17.
HallamS.RintaT.VarvarigouM.CreechA.PapageorgiI.GomesT.LanipekunJ. (2012). The development of practising strategies in young people. Psychology of Music, 40(5), 652–680. https://doi.org/10.1177/0305735612443868
18.
HamiltonL. M.DukeR. A. (2020). Changes in perception accompany the development of music performance skills. Journal of Research in Music Education, 68(2), 175–192. https://doi.org/10.1177/0022429420920567
19.
HenleyP. T. (2001). Effects of modeling and tempo patterns as practice techniques on the performance of high school instrumentalists. Journal of Research in Music Education, 49(2), 169–180. https://doi.org/10.2307/3345868
20.
HerzfeldD. J.ShadmehrR. (2014). Motor variability is not noise, but grist for the learning mill. Nature Neuroscience, 17(2), 149–150. https://doi.org/10.1038/nn.3633
21.
HewittM. P. (2001). The effects of modeling, self-evaluation, and self-listening on junior high instrumentalists’ music performance and practice attitude. Journal of Research in Music Education, 49(4), 307–322. https://doi.org/10.2307/3345614
22.
HighbenZ.PalmerC. (2004). Effects of auditory and motor mental practice in memorized piano performance. Bulletin of the Council for Research in Music Education, 159, 58–65. https://doi.org/10.2307/40319208
KlicksteinG. (2009). The musician’s way: A guide to practice, performance, and wellness. Oxford University Press.
25.
LinklaterF. (1997). Effects of audio-and videotape models on performance achievement of beginning clarinetists. Journal of Research in Music Education, 45(3), 402–414.
26.
LisboaT. (2008). Action and thought in cello playing: An investigation of children’s practice and performance. International Journal of Music Education, 26(3), 243–267. https://doi.org/10.1177/0255761408092526
27.
MagillR.AndersonD. (2017). Motor learning and control: Concepts and applications (11th ed.). McGraw-Hill Publishing.
McPhersonG. E.McCormickJ. (1999). Motivational and self-regulated learning components of musical practice. Bulletin of the Council for Research in Music Education, 141, 98–102.
30.
McPhersonG. E.McCormickJ. (2000). The contribution of motivational factors to instrumental performance in a music examination. Research Studies in Music Education, 15(1), 31–39. https://doi.org/10.1177/1321103X0001500105
31.
McPhersonG. E.RenwickJ. M. (2001). A longitudinal study of self-regulation in children’s musical practice. Music Education Research, 3(2), 169–186. https://doi.org/10.1080/14613800120089232
32.
MikszaP. (2007). Effective practice: An investigation of observed practice behaviors, self-reported practice habits, and the performance achievement of high school wind players. Journal of Research in Music Education, 55(4), 359–375. https://doi.org/10.1177/0022429408317513
33.
MikszaP. (2011). The development of a measure of self-regulated practice behavior for beginning and intermediate instrumental music students. Journal of Research in Music Education, 59(4), 321–338. https://doi.org/10.1177/0022429411414717
34.
MikszaP.PrichardS.SorboD. (2012). An observational study of intermediate band students’ self-regulated practice behaviors. Journal of Research in Music Education, 60(3), 254–266. https://doi.org/10.1177/0022429412455201
35.
OareS. (2016). Aural image in practice: A multicase analysis of instrumental practice in middle school learners. Update: Applications of Research in Music Education, 34(2), 37–44. https://doi.org/10.1177/8755123314550415
PittsS.DavidsonJ.McPhersonG. E. (2000). Developing effective practise strategies: Case studies of three young instrumentalists. Music Education Research, 2(1), 45–56. https://doi.org/10.1080/14613800050004422
38.
PuopoloV. (1971). The development and experimental application of self-instructional practice materials for beginning instrumentalists. Journal of Research in Music Education, 19(3), 342–349. https://doi.org/10.2307/3343770
39.
RenwickJ. M.McPhersonG. E. (2002). Interest and choice: Student-selected repertoire and its effect on practising behaviour. British Journal of Music Education, 19(2), 173–188. https://doi.org/10.1017/S0265051702000256
40.
RohwerD.PolkJ. (2006). Practice behaviors of eighth-grade instrumental musicians. Journal of Research in Music Education, 54(4), 350–362. https://doi.org/10.1177/002242940605400407
41.
RosenthalR. K. (1984). The relative effects of guided model, model only, guide only, and practice only treatments on the accuracy of advanced instrumentalists’ musical performance. Journal of Research in Music Education, 32(4), 265–273. https://doi.org/10.2307/3344924
42.
RosenthalR. K.WilsonM.EvansM.GreenwaltL. (1988). Effects of different practice conditions on advanced instrumentalists’ performance accuracy. Journal of Research in Music Education, 36(4), 250–257. https://doi.org/10.2307/3344877
43.
RossS. L. (1985). The effectiveness of mental practice in improving the performance of college trombonists. Journal of Research in Music Education, 33(4), 221–230. https://doi.org/10.2307/3345249
44.
SeidlerR. D.KwakY.FlingB. W.BernardJ. A. (2013). Neurocognitive mechanisms of error-based motor learning. In RichardsonM. J.RileyM. A.ShockleyK. (Eds.), Progress in motor control (Vol. 782, pp. 39–60). Springer. https://doi.org/10.1007/978-1-4614-5465-6_3
45.
StambaughL. A. (2011). When repetition isn’t the best practice strategy: Effects of blocked and random practice schedules. Journal of Research in Music Education, 58(4), 368–383. https://doi.org/10.1177/0022429410385945
46.
TheilerA. M.LippmanL. G. (1995). Effects of mental practice and modeling on guitar and vocal performance. Journal of General Psychology, 122(4), 329–343. https://doi.org/10.1080/00221309.1995.9921245
47.
WolpertD. M.GhahramaniZ. (2000). Computational principles of movement neuroscience. Nature Neuroscience, 3, 1212–1217. https://doi.org/10.1038/81497
48.
WolpertD. M.GhahramaniZ.JordanM. I. (1995). An internal model for sensorimotor integration. Science, 269(5232), 1880–1882. https://doi.org/10.1126/science.7569931
49.
WuH. G.MiyamotoY. R.CastroL. N. G.ÖlveczkyB. P.SmithM. A. (2014). Temporal structure of motor variability is dynamically regulated and predicts motor learning ability. Nature Neuroscience, 17(2), 312–321. https://doi.org/10.1038/nn.3616
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