From Cognitive Memory to Self-Regulation: A Multidimensional Pathway to Stable Musical Score Memory
PDF

Keywords

Musical memorization
Multiple memory systems;
Self-regulated learning (SRL);
Music education
Semantic memory;
Procedural memory; Narrative memory;
Metacognition;
Cognitive regulation;
Performance learning

How to Cite

Li, R. (2025). From Cognitive Memory to Self-Regulation: A Multidimensional Pathway to Stable Musical Score Memory. International Theory and Practice in Humanities and Social Sciences, 2(6), 315–329. https://doi.org/10.70693/itphss.v2i6.1144

Abstract

This review proposes an integrative theoretical framework that explains the development of stable musical score memory as a function of both cognitive architecture and self-regulatory processes. Grounded in the multiple memory systems theory and the three-phase self-regulated learning (SRL) model, the framework conceptualizes musical memorization as a dynamic, recursive process involving the selective activation and coordination of five long-term memory systems—semantic, emotional, perceptual, procedural, and narrative—across the SRL phases of forethought, performance, and reflection. Drawing upon recent empirical findings in cognitive neuroscience, affective memory research, and metacognitive theory (2021–2025), this review introduces a matrix-based model that maps phase-specific memory activation and regulation mechanisms. The model elucidates how SRL functions as a meta-regulatory system that governs memory system engagement to support goal setting, skill acquisition, expressive performance, and adaptive evaluation. Pedagogical implications include the design of SRL-informed instructional strategies that target memory-specific learning functions, enhance learner autonomy, and improve long-term retention. The review concludes by outlining future research directions involving longitudinal tracking of memory dynamics, neurocognitive measurement of learning phases, and AI-enhanced scaffolding of SRL in music education. By reframing musical memorization as a cognitively distributed and strategically regulated process, this work offers a novel contribution to the interdisciplinary understanding of memory-based performance learning.

https://doi.org/10.70693/itphss.v2i6.1144
PDF

References

1.Klune, C. B., Jin, B., & DeNardo, L. A. (2021). Linking mPFC circuit maturation to the developmental regulation of emotional memory and cognitive flexibility. Elife, 10, e64567.

2.Anderson, M. C., & Floresco, S. B. (2022). Prefrontal-hippocampal interactions supporting the extinction of emotional memories: The retrieval stopping model. Neuropsychopharmacology, 47(1), 180–195.

3.Vrijsen, J. N., Ikani, N., Souren, P., Rinck, M., Tendolkar, I., & Schene, A. H. (2023). How context, mood, and emotional memory interact in depression: A study in everyday life. Emotion, 23(1), 41–53.

4.Gurguryan, L., Fenerci, C., Ngo, N., & Sheldon, S. (2024). The neural correlates of constructing conceptual and perceptual representations of autobiographical memories. Journal of Cognitive Neuroscience, 36(7), 1350–1373.

5.Steel, A., Silson, E. H., Garcia, B. D., & Robertson, C. E. (2024). A retinotopic code structures the interaction between perception and memory systems. Nature Neuroscience, 27(2), 339–347.

6.Mylonas, D., Schapiro, A. C., Verfaellie, M., Baxter, B., Vangel, M., Stickgold, R., & Manoach, D. S. (2024). Maintenance of procedural motor memory across brief rest periods requires the hippocampus. Journal of Neuroscience, 44(14).

7.Fioriti, C. M., Pizzie, R. G., Evans, T. M., Green, A. E., & Lyons, I. M. (2025). Math anxiety and arithmetic learning: Evidence for impaired procedural learning and enhanced retrieval learning. Journal of Experimental Psychology: Learning, Memory, and Cognition.

8.Brady, A. C., Wolters, C. A., Pasque, P. A., Yu, S. L., & Lin, T. J. (2024). Beyond goal setting and planning: An examination of college students’ self-regulated learning forethought processes. Active Learning in Higher Education, 14697874241270490.

9.Arvatz, A., Peretz, R., & Dori, Y. J. (2025). Self-regulated learning and reflection: a tool for teachers and students. Metacognition and Learning, 20(1), 1–24.

10.Zhu, M. (2025). Leveraging ChatGPT to support self-regulated learning in online courses. TechTrends, 69(2), 1–11.

11.Maimaiti, G., & Hew, K. F. (2025). Gamification bolsters self-regulated learning, learning performance and reduces strategy decline in flipped classrooms: A longitudinal quasi-experiment. Computers & Education, 230, 105278.

12.Cabalo, D. G., DeKraker, J., Royer, J., Xie, K., Tavakol, S., Rodríguez-Cruces, R., ... & Bernhardt, B. C. (2024). Differential reorganization of episodic and semantic memory systems in epilepsy-related mesiotemporal pathology. Brain, 147(11), 3918–3932.

13.Heinen, R., Bierbrauer, A., Wolf, O. T., & Axmacher, N. (2024). Representational formats of human memory traces. Brain Structure and Function, 229(3), 513–529.

14.Hayward, W., Buch, E. R., Norato, G., Iwane, F., Dash, D., Salamanca-Girón, R. F., ... & Cohen, L. G. (2024). Procedural motor memory deficits in patients with long-COVID. Neurology, 102(3), e208073.

15.Mace, J. H., Ingle, K. E., & Aaron, H. E. (2025). Narrative processing primes autobiographical memories: Another instance of semantic-to-autobiographical memory priming. Memory & Cognition, 1–10. https://doi.org/10.3758/s13421-025-01455-7

16.Thomsen, D. K., Pedersen, A. M., & Salgado, S. (2024). The experiences that define us: Autobiographical periods predict memory centrality to narrative identity. Journal of Applied Research in Memory and Cognition, 13(2), 273–284.

17.Squire, L. R. (2004). Memory systems of the brain: A brief history and current perspective. Neurobiology of Learning and Memory, 82(3), 171–177.

18.Berz, W. L. (1995). Working memory in music: A theoretical model. Music Perception, 12(3), 353–364.

19.Zimmerman, B. J. (2000). 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.

20.dos Santos Silva, C., Araújo, M. V., & Marinho, H. (2024). Attitudes in music practice: A survey exploring the self-regulated learning processes of advanced Brazilian and Portuguese musicians. Frontiers in Psychology, 15, 1324100. https://doi.org/10.3389/fpsyg.2024.1324100

21.Gu, J., Wang, X., Liu, C., Zhuang, K., Fan, L., Zhang, J., ... & Qiu, J. (2025). Semantic memory structure mediates the role of brain functional connectivity in creative writing. Brain and Language, 264, 105551.

22.Luchini, S. A., Wang, S., Kenett, Y. N., & Beaty, R. E. (2024). Mapping the memory structure of high-knowledge students: A longitudinal semantic network analysis. Journal of Intelligence, 12(6), 56.

23.Li, J., Chen, Y., Xing, Y., Gu, Y., & Lan, X. (2025). GSM: Global semantic memory. Pattern Recognition, 111950.

24.Johns, B. T. (2024). Determining the relativity of word meanings through the construction of individualized models of semantic memory. Cognitive Science, 48(2), e13413.

25.Davidson, P., & Pace-Schott, E. (2021). Go to bed and you might feel better in the morning—the effect of sleep on affective tone and intrusiveness of emotional memories. Current Sleep Medicine Reports, 7, 31–46.

26.Cooper, S. E., Hennings, A. C., Bibb, S., Lewis-Peacock, J., & Dunsmoor, J. E. (2023). Threat learning by proxy: Semantic structures facilitate emotional memory integration throughout the MTL and medial prefrontal cortex.

27.Ye, C., Guo, L., Wang, N., Liu, Q., & Xie, W. (2024). Perceptual encoding benefit of visual memorability on visual memory formation. Cognition, 248, 105810.

28.Lin, Q., Li, Z., Lafferty, J., & Yildirim, I. (2024). Images with harder-to-reconstruct visual representations leave stronger memory traces. Nature Human Behaviour, 8(7), 1309–1320.

29.Cretton, A., Schipper, K., Hassan, M., Ruggeri, P., & Barral, J. (2024). Enhancing perceptual, attentional, and working memory demands through variable practice schedules: Insights from high-density EEG multi-scale analyses. Cerebral Cortex, 34(11), bhae425.

30.Della-Maggiore, V. (2024). The human hippocampus beyond episodic memory. Nature Reviews Neuroscience, 25(4), 211–211.

31.Cheng, G., Zou, D., Xie, H., & Wang, F. L. (2024). Exploring differences in self-regulated learning strategy use between high- and low-performing students in introductory programming: An analysis of eye-tracking and retrospective think-aloud data from program comprehension. Computers & Education, 208, 104948.

32.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.

33.Lund, A. E., Corrêa, C. M. C., Fardo, F., Fleming, S. M., & Allen, M. G. (2025). Domain generality in metacognitive ability: A confirmatory study across visual perception, episodic memory, and semantic memory. Journal of Experimental Psychology: Learning, Memory, and Cognition.

34.de Vreugd, E., Martens, R. L., & Bastiaens, T. J. (2025). Supporting music students’ self-regulated learning through SRL dashboards and video-based self-assessment. Music Education Research, 27(1), 101–117.

35.Latva-aho, J., Näykki, P., Pyykkönen, S., Laitinen-Väänänen, S., Hirsto, L., & Veermans, M. (2024). Pre-service teachers’ ways of understanding, observing, and supporting self-regulated learning. Teaching and Teacher Education, 149, 104719.

36.Grob, A. M., Heinbockel, H., Milivojevic, B., Doeller, C. F., & Schwabe, L. (2024). Causal role of the angular gyrus in insight-driven memory reconfiguration. Elife, 12, RP91033.

37.Samsonovich, A. V., Kitsantas, A., Wahidi, S., & Dolgikh, A. A. (2024). Self-Regulated Learning (SRL) with AI. In Biologically Inspired Cognitive Architectures 2024: Proceedings of the 15th Annual Meeting of the BICA Society (Vol. 477, pp. 345–354). Springer Nature.

38.Zimmerman, B. J., & Moylan, A. R. (2009). Self-regulation: Where metacognition and motivation intersect. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 299–315). Routledge.

39.Tulving, E. (1985). Memory and consciousness. Canadian Psychology / Psychologie canadienne, 26(1), 1–12.

40.Wani, R., SaPkale, B., MeSHRaM, S., & Gedam, S. R. (2025). Unravelling the enigma of highly superior autobiographical memory: Signs, symptoms and treatment perspectives: A narrative review. Journal of Clinical & Diagnostic Research, 19(1).

41. Squire, L. R. (2004). Memory systems of the brain: A brief history and current perspective. Neurobiology of Learning and Memory, 82(3), 171–177.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2025 Renjie Li (Author)

Downloads

Download data is not yet available.