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UPSI Digital Repository (UDRep)
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| Abstract : Universiti Pendidikan Sultan Idris |
| Managing self-regulated strategies while learning a piece of music is a complex task for undergraduate music students—at various levels of experience playing instruments—studying applied music courses. This study investigates music notation software as a visual-aural model to students’ effective practice. Twenty students of stringed instruments at levels I, II, III, and IV of an applied music course offered by the music faculty of a Malaysian university participated in this quantitative study, which was implemented using a self-report questionnaire. The results reveal that regardless of the student’s level in the applied music course, music notation software has a positive effect on students’ self-regulation practice strategies aimed at improving their shortcomings (including matching intonations and using proper phrasings, rhythmic patterns, and tempo speeds). This study assessed one semester of study at the university. Future research examining the potential benefits of using music notation software in self-regulated practice of stringed instruments and other music instruments (including voice) should have students employ a self-reported diary to keep track of daily achievements and goals.
Keywords: Visual-aural Model, Self-Regulated Learning, Music Notation Software |
| References |
Philippe, A. R., Kosirnik, C., Vuichoud, N., Clark, T., Williamon, A., & McPherson, G. E. (2020). Conservatory musicians’ temporal organization and self-regulation processes in preparing for music exam. Frontiers in Psychology, 11. DOI: 10.3389/fpsyg.2020.00089 Aydiner-Uygun, M. (2020). Achievement goal orientations of students studying instrument education as predictors of their learning approaches, Music Education Research, 22 (2),130-144, DOI: 10.1080/14613808.2020.1713735 Aydiner-Uygun, M., & Kilinçer, O. (2017). Strategies musicians use while practicing and learning instrumental music. In I. Koleva & G. Duman (Eds.), Educational research and practice (pp. 400–409). Kliment Ohridski University Press. Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd Ed.). Hillsdale, NJ: Lawrence Erlbaum Associates. Galera, M. D., Tejada, J., & Trigo, E. (2013). Music notation software as a means to facilitate the study of singing musical scores. Electronic Journal of Research in Educational Psychology, 11(1), 215–238. ISSNe: 1696-2095. DOI: https://doi.org/10.25115/ejrep.v11i29.1564 Hallam, S. (2013). What predicts level of expertise attained, quality of performance, and future musical aspirations in young instrumental players? Psychology of Music, 41(3), 267–291. https://doi.org/10.1177/0305735611425902 Hallam, S., Creech, A., Varvarigou, M., & Papageorgi, I. (2019). Are there differences in practice depending on the instrument played? Psychology of Music, 48(6), 745–765. https://doi.org/10.1177/0305735618816370 Hallam, S., Papageorgi, I., Varvarigou, M., & Creech, A. (2021). Relationships between practice, motivation, and examination outcomes. Psychology of Music, 49(1), 3–20. https://doi.org/10.1177/0305735618816168 Hallam, S., Rinta, T., Varvarigou, M., Creech, A., Papageorgi, I., Gomes, T., & Lanipekun, J. (2012). The development of practising strategies in young people. Psychology of Music, 40(5), 652–680. https://doi.org/10.1177/0305735612443868 Hewitt, M. 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 JASP Team. (2020). JASP (Version 0.14.1) (Computer software). Kirby, M. L. (2020). SEMPRE Autumn 2020 Conference: The role of music psychology research in a complex world. Music & Science, 3(1), https://doi.org/10.1177/2059204320977126 Lopez-Iniguez, G., & McPherson, G.E. (2020). Applying self-regulated learning and self-determination theory to optimize the performance of a concert cellist. Frontiers in Psychology. 11, 385. DOI: 10.3389/fpsyg.2020.00385 McPherson, G. E., Osborne, M. S., Evans P., & Miksza, P. (2017). Applying self-regulated learning microanalysis to study musicians’ practice. Psychology of Music. DOI: 10.1177/0305735617731614 McPherson, G. E., & Zimmerman, B. J. (2011). Self-regulation of musical learning: A social cognitive perspective on developing performance skills. In R. Colwell & P. Webster (Eds.), MENC handbook of research on music learning: Volume 2: Applications (pp.130–175). Oxford Scholarship Online. DOI:10.1093/acprof:osobl/9780199754397.003.0004 Miksza, P. (2011). Relationships among achievement goal motivation, impulsivity, and the music practice of collegiate brass and woodwind players. Psychology of Music, 39(1), 50–67. doi: 10.1177/0305735610361996 Nart, S. (2016). Music software in the technology integrated music education. TOJET: The Turkish Online Journal of Educational Technology, 15(2), 78-84. Osborne, M. S., McPherson, G. E., Miksza, P., & Evans, P. (2020). Using a microanalysis intervention to examine shifts in musicians’ self-regulated learning. Psychology of Music, 49(4), 972–988. DOI: 10.1177/0305735620915265 Ross, V. (2013). Music learning and performing: Applying written and oral strategies. Procedia - Social and Behavioral Sciences 90, 870–878. DOI: 10.1016/j.sbspro.2013.07.163 Varela, W., Abrami, P. C., & Upitis, R. (2014). Self-regulation and music learning: A systematic review. Psychology of Music, 44(1), 55–74. DOI: 10.1177/0305735614554639 Woody, R. H. (2019). Musicians’ use of harmonic cognitive strategies when playing by ear. Psychology of Music. 48(5), 674–692.DOI: 10.1177/0305735618816365 Williamon, A., Ginsborg, J., Perkins, R., & Waddell, G. (2021). Inferential statistics: Differences. In Performing music research: Methods in music education, psychology, and performance science. Oxford University Press. Williamon, A., & Valentine, E. (2000). Quantity and quality of musical practice as predictors of performance quality. British Journal of Psychology, 91, 353–376. https://doi.org/10.1348/000712600161871 Zimmerman, B. J. (2000). Self-efficacy: An essential motive to learn. Contemporary Educational Psychology, 25(1), 82-91. DOI: 10.1006/ceps.1999.1016 Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64–70. DOI: 10.1207/s15430421tip4102_2
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