Exploring Self-Regulated Learning Processes in Online Piano Tutorials among Young Beginners in China
Abstract
With the growing prevalence of online music education, understanding how piano beginners manage practice and progress in online environments is essential. This study adopts Zimmerman’s self-regulated learning (SRL) cyclical phases model to examine students’ development of planning, monitoring, and reflection behaviors during the online piano tutorials. Data were collected through semi-structured interviews with 11 online tutors and 11 parents whose children were taking online piano tutorials, as well as observations of 8 students. The study analyzed how tutor guidance and digital tools jointly shape students’ self-regulation. Findings showed that in the forethought phase, students rely heavily on tutors’ external cues for task planning and motivation. In the performance phase, students gradually use multiple strategies and digital tools to monitor their practice. In the self-reflection phase, students shift from attributing mistakes to uncontrollable factors toward more controllable causes and adjust strategies based on feedback. This study extends SRL theory to the context of online piano tutorials and offers theoretical and practical insights for online piano education.
Downloads
References
Adam, N. L., Alzahri, F. B., Cik Soh, S., Abu Bakar, N., & Mohamad Kamal, N. A. (2017). Self-Regulated Learning and Online Learning: A Systematic Review. In H. Badioze Zaman, P. Robinson, A. F. Smeaton, T. K. Shih, S. Velastin, T. Terutoshi, A. Jaafar, & N. Mohamad Ali (Eds.), Advances in Visual Informatics (pp. 143–154). Springer International Publishing. https://doi.org/10.1007/978-3-319-70010-6_14
Albelbisi, N. A. (2019). The role of quality factors in supporting self-regulated learning (SRL) skills in MOOC environment. Education and Information Technologies, 24(2), 1681–1698. https://doi.org/10.1007/s10639-018-09855-2
Andreou, E. (2022). The Relationship between Private Studio-Based Piano Lessons and Home-Based Private Practice: Case Studies of Young Piano Students [Doctoral dissertation, University College London]. UCL Discovery. https://discovery.ucl.ac.uk/id/eprint/10145450/
Anthonysamy, L., Koo, A. C., & Hew, S. H. (2020). Self-regulated learning strategies in higher education: Fostering digital literacy for sustainable lifelong learning. Education and Information Technologies, 25(4), 2393–2414. https://doi.org/10.1007/s10639-020-10201-8
Azevedo, R., Moos, D. C., Greene, J. A., Winters, F. I., & Cromley, J. G. (2008). Why is externally-facilitated regulated learning more effective than self-regulated learning with hypermedia? Educational Technology Research and Development, 56(1), 45–72. https://doi.org/10.1007/s11423-007-9067-0
Boekaerts, M., & Cascallar, E. (2006). How Far Have We Moved Toward the Integration of Theory and Practice in Self-Regulation? Educational Psychology Review, 18(3), 199–210. https://doi.org/10.1007/s10648-006-9013-4
Bol, L., & Garner, J. K. (2011). Challenges in supporting self-regulation in distance education environments. Journal of Computing in Higher Education, 23(2), 104–123. https://doi.org/10.1007/s12528-011-9046-7
Bonneville-Roussy, A., & Bouffard, T. (2015). When quantity is not enough: Disentangling the roles of practice time, self-regulation and deliberate practice in musical achievement. Psychology of Music, 43(5), 686–704. https://doi.org/10.1177/0305735614534910
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Browne, K. (2005). Snowball sampling: Using social networks to research non‐heterosexual women. International Journal of Social Research Methodology, 8(1), 47–60. https://doi.org/10.1080/1364557032000081663
Buck, M. W. (2008). The efficacy of SmartMusic® assessment as a teaching and learning tool [Doctoral dissertation, The University of Southern Mississippi]. ProQuest. https://www.proquest.com/docview/304477234/abstract/BEC9C2A7F2FE42DAPQ/1
Cai, Y. (2019). Duì xiàn shàng gāng qín péi liàn ruǎn jiàn de sī kǎo [Reflections on online piano training software]. Modern Music, (6), 163. https://doi.org/CNKI:SUN:DDMU.0.2019-06-070
Chou, C.-Y., & Chang, C.-H. (2021). Developing Adaptive Help-Seeking Regulation Mechanisms for Different Help-Seeking Tendencies. Educational Technology & Society, 24(4), 54–66. https://doi.org/https://www.jstor.org/stable/48629244
Cogdill, S. H. (2015). Applying Research in Motivation and Learning to Music Education: What the Experts Say. Update: Applications of Research in Music Education, 33(2), 49–57. https://doi.org/10.1177/8755123314547909
Cohen, L., Manion, L., & Morrison, K. (2017). Research Methods in Education (8th ed.). Routledge. https://doi.org/10.4324/9781315456539
Dabbagh, N., & Kitsantas, A. (2012). Personal Learning Environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning. The Internet and Higher Education, Social Media in Higher Education, 15(1), 3–8. https://doi.org/10.1016/j.iheduc.2011.06.002
Dammers, R. J. (2009). Utilizing Internet-Based Videoconferencing for Instrumental Music Lessons. Update: Applications of Research in Music Education, 28(1), 17–24. https://doi.org/10.1177/8755123309344159
Davis, D., Chen, G., Van der Zee, T., Hauff, C., & Houben, G.-J. (2016). Retrieval practice and study planning in MOOCs: Exploring classroom-based self-regulated learning strategies at scale. European Conference on Technology Enhanced Learning, 9891, 57–71. https://doi.org/https://doi.org/10.1007/978-3-319-45153-4_5
Dong, C., Cao, S., & Li, H. (2020). Young children’s online learning during COVID-19 pandemic: Chinese parents’ beliefs and attitudes. Children and Youth Services Review, 118, 105440. https://doi.org/10.1016/j.childyouth.2020.105440
dos Santos Silva, C., & Marinho, H. (2025). Self-regulated learning processes of advanced musicians: A PRISMA review. Musicae Scientiae, 29(1), 89–108. https://doi.org/10.1177/10298649241275614
Ejubovic, A., & Puška, A. (2019). Impact of Self-Regulated Learning on Academic Performance and Satisfaction of Students in the Online Environment. Knowledge Management & E-Learning, 11(3), 345–363. https://doi.org/https://doi.org/10.34105/j.kmel.2019.11.018
Fielding, J., Geiger, V., Miller, J., Bruder, R., Towara, U., & Ratnayake, I. (2022). Using situated expectancy value theory to explore initial teacher education students’ motivation to engage with challenging mathematical tasks. Teaching and Teacher Education, 113, 103663. https://doi.org/10.1016/j.tate.2022.103663
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
Hatfield, J. L. (2016). Performing at the Top of One’s Musical Game. Frontiers in Psychology, 7. https://doi.org/10.3389/fpsyg.2016.01356
Hatfield, J. L., Halvari, H., & Lemyre, P.-N. (2017). Instrumental practice in the contemporary music academy: A three-phase cycle of Self-Regulated Learning in music students. Musicae Scientiae, 21(3), 316–337. https://doi.org/10.1177/1029864916658342
Hatfield, J. L., & Lemyre, P.-N. (2016). Foundations of Intervention Research in Instrumental Practice. Frontiers in Psychology, 6. https://doi.org/10.3389/fpsyg.2015.02014
Hayes, S., Smith, S. U., & Shea, P. (2015). Expanding Learning Presence to Account for the Direction of Regulative Intent: Self-, Co- and Shared Regulation in Online Learning. Online Learning, 19(3), 15–31.
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
Honicke, T., & Broadbent, J. (2016). The influence of academic self-efficacy on academic performance: A systematic review. Educational Research Review, 17, 63–84. https://doi.org/10.1016/j.edurev.2015.11.002
Huh, Y., Lee, D., & Reigeluth, C. (2024). Teacher supports and technology needs to develop students’ self-regulated learning at U.S. K-12 online schools. Contemporary Educational Technology, 16(3), ep523. https://doi.org/10.30935/cedtech/14956
Jin, S.-H., Im, K., Yoo, M., Roll, I., & Seo, K. (2023). Supporting students’ self-regulated learning in online learning using artificial intelligence applications. International Journal of Educational Technology in Higher Education, 20(1), 37. https://doi.org/10.1186/s41239-023-00406-5
Kegelaers, J., Hoogkamer, L., & Oudejans, R. R. (2022). Practice and performance management strategies of emerging professional musicians in preparation for orchestra auditions. Research Studies in Music Education, 44(1), 175–191. https://doi.org/10.1177/1321103X211054659
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
Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2017). Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses. Computers & Education, 104, 18–33. https://doi.org/10.1016/j.compedu.2016.10.001
Lee, M., Lee, S. Y., Kim, J. E., & Lee, H. J. (2023). Domain-specific self-regulated learning interventions for elementary school students. Learning and Instruction, 88, 101810. https://doi.org/10.1016/j.learninstruc.2023.101810
Lei, K. (2023). The effectiveness of special apps for online piano lessons. Interactive Learning Environments, 31(10), 7455–7466. https://doi.org/10.1080/10494820.2022.2073373
Liu, Y., Seemuang, J., & Kaenampornpan, P. (2024). Exploring strategies for overcoming teaching challenges and enhancing learning in music education. International Journal of Social Science Exceptional Research, 3(3), 48–52. https://doi.org/https://doi.org/10.54660/IJSSER.2024.3.3.48-52
Longhurst, D. (2024). Cyclical Patterns of Self-Regulated Learning in College Students [Doctoral dissertation, Utah State University]. Utah State University Digital Commons. https://digitalcommons.usu.edu/etd2023/276
Lotze, M. (2013). Kinesthetic imagery of musical performance. Frontiers in Human Neuroscience, 7. https://doi.org/10.3389/fnhum.2013.00280
Lu, D. (2025). The Impact of Augmented Reality on Motor Skills in Piano Education: Improving the Left-Hand Technique with AR Piano. International Journal of Human–Computer Interaction, 41(13), 8398–8408. https://doi.org/10.1080/10447318.2024.2408627
Massonnié, J., Frasseto, P., Mareschal, D., & Kirkham, N. Z. (2022). Learning in Noisy Classrooms: Children’s Reports of Annoyance and Distraction from Noise are Associated with Individual Differences in Mind-Wandering and Switching skills. Environment and Behavior, 54(1), 58–88. https://doi.org/10.1177/0013916520950277
McPherson, G. E. (2005). From child to musician: Skill development during the beginning stages of learning an instrument. Psychology of Music, 33(1), 5–35. https://doi.org/10.1177/0305735605048012
McPherson, G. E., Nielsen, S. G., & Renwick, J. M. (2013). Self-regulation interventions and the development of music expertise. In H. Bembenutty, T. J. Cleary, & A. Kitsantas (Eds.), Applications of self-regulated learning across diverse disciplines: A tribute to Barry J. Zimmerman (pp. 355–382). IAP Information Age Publishing. https://psycnet.apa.org/record/2013-11997-012
McPherson, G. E., Osborne, M. S., Evans, P., & Miksza, P. (2019). Applying self-regulated learning microanalysis to study musicians’ practice. Psychology of Music, 47(1), 18–32. https://doi.org/10.1177/0305735617731614
McPherson, G. E., & Renwick, J. M. (2013). Self-Regulation and Mastery of Musical Skills. In Handbook of Self-Regulation of Learning and Performance. Routledge. https://doi.org/10.4324/9780203839010.ch15
Miao, J., & Ma, L. (2023). Teacher Autonomy Support Influence on Online Learning Engagement: The Mediating Roles of Self-Efficacy and Self-Regulated Learning. SAGE Open, 13(4), 21582440231217737. https://doi.org/10.1177/21582440231217737
Ng, D. T. K., Tan, C. W., & Leung, J. K. L. (2024). Empowering student self-regulated learning and science education through ChatGPT: A pioneering pilot study. British Journal of Educational Technology, 55(4), 1328–1353. https://doi.org/10.1111/bjet.13454
Palvia, S., Aeron, P., Gupta, P., Mahapatra, D., Parida, R., Rosner, R., & Sindhi, S. (2018). Online Education: Worldwide Status, Challenges, Trends, and Implications. Journal of Global Information Technology Management, 21(4), 233–241. https://doi.org/10.1080/1097198X.2018.1542262
Panadero, E., & Alonso-Tapia, J. (2014). ¿Cómo autorregulan nuestros alumnos? Modelo de Zimmerman sobre estrategias de aprendizaje. Anales de Psicología, 30(2). https://doi.org/10.6018/analesps.30.2.167221
Papamitsiou, Z., & Economides, A. A. (2019). Exploring autonomous learning capacity from a self‐regulated learning perspective using learning analytics. British Journal of Educational Technology, 50(6), 3138–3155. https://doi.org/10.1111/bjet.12747
Park, J. I., Lee, I. H., Lee, S. J., Kwon, R. W., Choo, E. A., Nam, H. W., & Lee, J. B. (2023). Effects of music therapy as an alternative treatment on depression in children and adolescents with ADHD by activating serotonin and improving stress coping ability. BMC Complementary Medicine and Therapies, 23(1), 73. https://doi.org/10.1186/s12906-022-03832-6
Peistaraite, U., & Clark, T. (2020). Emotion Regulation Processes Can Benefit Self-Regulated Learning in Classical Musicians. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.568760
Pintrich, P. R. (2000). Chapter 14—The Role of Goal Orientation in Self-Regulated Learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of Self-Regulation (pp. 451–502). Academic Press. https://doi.org/10.1016/B978-012109890-2/50043-3
Redman, B. P. (2022). The use of videoconferencing and low-latency technologies for instrumental music teaching. https://doi.org/10.17630/STA/246
Ruan, W. (2024). Increasing student motivation to learn the piano using modern digital technologies: Independent piano learning with the soft Mozart app. Current Psychology, 43(44), 33998–34008. https://doi.org/10.1007/s12144-024-06924-3
Schneider, W. (2008). The Development of Metacognitive Knowledge in Children and Adolescents: Major Trends and Implications for Education. Mind, Brain, and Education, 2(3), 114–121. https://doi.org/10.1111/j.1751-228X.2008.00041.x
Schunk, D. H. (2012). Social cognitive theory. In K. R. Harris, S. Graham, T. Urdan, C. B. McCormick, G. M. Sinatra, & J. Sweller (Eds.), APA educational psychology handbook, Vol 1: Theories, constructs, and critical issues. (pp. 101–123). American Psychological Association. https://doi.org/10.1037/13273-005
Schunk, D. H., & DiBenedetto, M. K. (2020). Motivation and social cognitive theory. Contemporary Educational Psychology, 60, 101832. https://doi.org/10.1016/j.cedpsych.2019.101832
Song, H., Tsiakas, K., Ham, J., Markopoulos, P., & Barakova, E. I. (2024). ‘How Would you Score Yourself?’: The Effect of Self-assessment Strategy Through Robots on Children’s Motivation and Performance in Piano Practice. International Journal of Social Robotics, 16(2), 327–340. https://doi.org/10.1007/s12369-023-01080-3
Taras, M. (2003). To Feedback or Not to Feedback in Student Self-assessment. Assessment & Evaluation in Higher Education, 28(5), 549–565. https://doi.org/10.1080/02602930301678
Toader, C., Tataru, C. P., Florian, I.-A., Covache-Busuioc, R.-A., Bratu, B.-G., Glavan, L. A., Bordeianu, A., Dumitrascu, D.-I., & Ciurea, A. V. (2023). Cognitive Crescendo: How Music Shapes the Brain’s Structure and Function. Brain Sciences, 13(10), 1390. https://doi.org/10.3390/brainsci13101390
Usher, E. L., & Schunk, D. H. (2017). Social Cognitive Theoretical Perspective of Self-Regulation. In B. J. Zimmerman & D. H. Schunk (Eds.), Handbook of Self-Regulation of Learning and Performance (2nd ed., pp. 19–35). Routledge.
Uygun, M. A., & Kılınçer, Ö. (2017). Examination of Strategies Fine Arts High School Students Use during the Practice and Learning of Instrumental Music. Journal of Education and Training Studies, 5(4), 178. https://doi.org/10.11114/jets.v5i4.2228
Volioti, G., & Williamon, A. (2021). Performers’ discourses on listening to recordings. Research Studies in Music Education, 43(3), 481–497. https://doi.org/10.1177/1321103X19899168
Wan, L., Crawford, R., & Jenkins, L. (2023). Digital Listening Tools to Facilitate Children’s Self-Regulation of Instrumental Music Practice. Journal of Research in Music Education, 71(1), 67–90. https://doi.org/10.1177/00224294221093521
Wang, J., Chen, S., & Bai, B. (2025). Cultivating children’s online self-regulated learning: The role of parental mediation and support. Education and Information Technologies. https://doi.org/10.1007/s10639-025-13555-z
Was, C. A., & Al-Harthy, I. S. (2018). Persistence of overconfidence in young children: Factors that lead to more accurate predictions of memory performance. European Journal of Developmental Psychology, 15(2), 156–171. https://doi.org/10.1080/17405629.2016.1264936
Weiner, B. (2010). The Development of an Attribution-Based Theory of Motivation: A History of Ideas. Educational Psychologist, 45(1), 28–36. https://doi.org/10.1080/00461520903433596
Winnie, P. H. (2010). Improving measurements of self-regulated learning. Educational Psychologist, 45(4), 267–276. https://doi.org/https://doi.org/10.1080/00461520.2010.517150
Wong, J., Baars, M., Davis, D., Van Der Zee, T., Houben, G.-J., & Paas, F. (2019). Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review. International Journal of Human–Computer Interaction, 35(4–5), 356–373. https://doi.org/https://doi.org/10.1080/10447318.2018.1543084
Xia, M., Poorthuis, A. M. G., & Thomaes, S. (2024). Children’s overestimation of performance across age, task, and historical time: A meta-analysis. Child Development, 95(3), 1001–1022. https://doi.org/10.1111/cdev.14042
Xu, L., Duan, P., Padua, S. A., & Li, C. (2022). The impact of self-regulated learning strategies on academic performance for online learning during COVID-19. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1047680
Xu, Y. (2022). Guó nèi gāng qín péi liàn mó shì yǔ fā zhǎn qū shì yán jiū [Research on the Mode and Development Trend of Domestic Piano Sparring] [Master’s thesis, Shanghai Conservatory of Music]. https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CMFD202202&filename=1022494695.nh
Zhang, Q. (2020). Zài xiàn yīn lè péi liàn píng tái “VIP péi liàn” yùn yíng mó shì [Research on the Operation Model of Online Music Pratice Partner “PEILIAN·COM”] [Master’s thesis, Shanghai Conservatory of Music]. https://link.cnki.net/doi/10.27319/d.cnki.gsyyy.2020.000141doi:10.27319/d.cnki.gsyyy.2020.000141
Zimmerman, B. J. (1986). Special issue on self-regulated learning. Contemporary Educational Psychology, 11(4), 305–427.
Zimmerman, B. J. (2000). Chapter 2 - Attaining Self-Regulation: A Social Cognitive Perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of Self-Regulation (pp. 13–39). Academic Press. https://doi.org/10.1016/B978-012109890-2/50031-7
Zimmerman, B. J. (2002). Becoming a Self-Regulated Learner: An Overview. Theory Into Practice, 41(2), 64–70. https://doi.org/10.1207/s15430421tip4102_2
Zimmerman, B. J., & Campillo, M. (2003). Motivating Self-Regulated Problem Solvers. In J. E. Davidson & R. J. Sternberg (Eds.), The Psychology of Problem Solving (pp. 233–262). Cambridge University Press. https://doi.org/10.1017/CBO9780511615771.009
Zimmerman, B. J., & Schunk, D. H. (Eds.). (2011). Handbook of self-regulation of learning and performance. Routledge.















