Articles

Strategies for Reducing Cognitive Load in Complex Polyphonic Music Learning: A Focus on Bach’s C Major Fugue from The Well-Tempered Clavier, Book I

AUTHOR :
Su-Young Bae
INFORMATION:
page. 67~92 / 2024 Vol.53 No.4
e-ISSN 2713-3788
p-ISSN 1229-4179

ABSTRACT

This study analyzed how piano instructors manage the cognitive load experienced by students when learning Bach’s Fugue in C Major from The Well-Tempered Clavier, Book I, based on Cognitive Load Theory (CLT). In-depth interviews were conducted through Focus Group Interviews (FGI) with six instructors with over ten years of teaching experience, exploring various strategies to reduce cognitive load in complex polyphonic music learning. The results showed that students experienced a high cognitive load in maintaining independent voices, identifying the subject and counter-subject, analyzing the structure, managing rhythm and tempo, balancing voices, and memorizing. To address this, the instructors guided students to practice voices separately, visually mark the subject and counter-subject, and use recordings to enhance understanding. Additionally, students were assisted in mastering dynamics and articulation through diverse performance examples and encouraged to maintain tempo by tapping a steady beat. To reduce learning burdens, students were also allowed to explore freely without being constrained by fixed tempo, and sectional practice was used to effectively understand the structure and reduce cognitive load. This study suggests the applicability of CLT in complex polyphonic music learning and provides foundational material for developing effective instructional strategies in music education.

Keyword :

REFERENCES


  1. Ayres, P., & Sweller, J. (2014). The split-attention principle in multimedia learning. In R. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 206-226). Cambridge, England: Cambridge University Press. https://doi.org/10.1017/CBO9781139547369.011 [Crossref]
  2. Braun, V., & Clarke, V (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa [Crossref]
  3. Chen, O., Castro-Alonso, J. C., Paas, F., & Sweller, J. (2018). Extending cognitive load theory to incorporate working memory resource depletion: Evidence from the spacing effect. Educational Psychology Review, 30, 483-501. https://doi.org/10.1007/s10648-017-9426-2 [Crossref]
  4. Çorlu, M., Muller, C., Desmet, F., & Leman, M. (2015). The consequences of additional cognitive load on performing musicians. Psychology of Music, 43(4), 495-510. https://doi.org/10.1177/0305735613519841 [Crossref]
  5. Ginns, P. (2005). Meta-analysis of the modality effect. Learning and Instruction, 15(4), 313-331. https://doi.org/10.1016/j.learninstruc.2005.07.001 [Crossref]
  6. Han, S. I. (2013). A study on the music teaching method for note reading and fingering for string instruments using storytelling approach. Korean Journal of Research in Music Education, 42(4), 263-290.
  7. Han, Y.-J. (2021). Mediating effect of cognitive load in song learning with visually presented lyrics. Psychology of Music, 49(6), 1462-1477. https://doi.org/10.1177/0305735620959430 [Crossref]
  8. Kalyuga, S. (Ed.) (2008). Managing cognitive load in adaptive multimedia learning. Hershey, PA: IGI Global. https://doi.org/10.4018/978-1-60566-048-6 [Crossref]
  9. Kalyuga, S. (2011). Cognitive load in adaptive multimedia learning. In R. Calvo & S. D'Mello (Eds.), New perspectives on affect and learning technologies. Explorations in the learning sciences, instructional systems and performance technologies (Vol. 3, pp. 203-215). New York: Springer. https://doi.org/10.1007/978-1-4419-9625-1_15 [Crossref]
  10. Kitzinger, J. (1995). Qualitative research: Introducing focus groups. BMJ, 311(7000), 299-302. https://doi.org/10.1136/bmj.311.7000.299 [Crossref]
  11. Krueger, R. A., & Casey, M. A. (2014). Focus groups: A practical guide for applied research (5th ed.). Thousand Oaks, CA: SAGE Publications.
  12. Leahy, W., & Sweller, J. (2011). Cognitive load theory, modality of presentation and the transient information effect. Applied Cognitive Psychology, 25(6), 943-951. https://doi.org/10.1002/acp.1787 [Crossref]
  13. Morgan, D. L. (1997). Focus groups as qualitative research (2nd ed.). Thousand Oaks, CA: SAGE Publications. https://doi.org/10.4135/9781412984287 [Crossref]
  14. Mousavi, S. Y., Low, R., & Sweller, J. (1995). Reducing cognitive load by mixing auditory and visual presentation modes. Journal of Educational Psychology, 87(2), 319-334. https://doi.org/10.1037/0022-0663.87.2.319 [Crossref]
  15. Owens, P., & Sweller, J. (2007). Cognitive load theory and music instruction. Educational Psychology, 28(1), 29-45. https://doi.org/10.1080/01443410701369146 [Crossref]
  16. Paas, F., & Sweller, J. (2012). An evolutionary upgrade of cognitive load theory: Using the human motor system and collaboration to support the learning of complex cognitive tasks. Educational Psychology Review, 24, 27-45. https://doi.org/10.1007/s10648-011-9179-2 [Crossref]
  17. Paas, F., & van Merriënboer, J. J. G. (1994). Variability of worked examples and transfer of geometrical problem-solving skills: A cognitive-load approach. Journal of Educational Psychology, 86(1), 122-133. https://doi.org/10.1037/0022-0663.86.1.122 [Crossref]
  18. Paas, F., & van Merriënboer, J. J. G. (2020). Cognitive-load theory: Methods to manage working memory load in the learning of complex tasks. Current Directions in Psychological Science, 29(4), 394-398. https://doi.org/10.1177/0963721420922183 [Crossref]
  19. Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: Recent developments. Educational Psychologist, 38(1), 1-4. https://doi.org/10.1207/S15326985EP3801_1 [Crossref]
  20. Plass, J. L., Moreno, R., & Brünken, R. (Eds.) (2010). Cognitive load theory. Cambridge, England: Cambridge University Press. https://doi.org/10.1017/CBO9780511844744 [Crossref]
  21. Pollock, E., Chandler, P., & Sweller, J. (2002). Assimilating complex information. Learning and Instruction, 12(1), 61-86. https://doi.org/10.1016/S0959-4752(01)00016-0 [Crossref]
  22. Price, S. T. (2010). The application of cognitive load theory to teaching music reading. Doctoral dissertation, University of Georgia.
  23. Renkl, A. (2012). Guidance-fading effect. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning (pp. 1400-1402). New York: Springer. https://doi.org/10.1007/978-1-4419-1428-6_335 [Crossref]
  24. Renkl, A., & Atkinson, R. K. (2003). Structuring the transition from example study to problem solving in cognitive skill acquisition: A cognitive load perspective. Educational Psychologist, 38(1), 15-22. https://doi.org/10.1207/S15326985EP3801_3 [Crossref]
  25. Shin, H. E. (2022). A study on world music teaching approach through music listening grounded in body movement: Focusing on Mongolian long song and lullaby. Korean Journal of Research in Music Education, 51(3), 95-125. https://doi.org/10.30775/KMES.51.3.95 [Crossref]
  26. Song, J. (2019). Shaping of the ideas of Jaques-Dalcroze, Kodály and Orff on rhythmic education through corporeal movement. Korean Journal of Research in Music Education, 48(3), 103-127. https://doi.org/10.30775/KMES.48.3.103 [Crossref]
  27. Sweller, J. (1985). The use of worked examples as a substitute for problem solving in learning algebra. Cognition and Instruction 2(1), 59-89. https://doi.org/10.1207/s1532690xci0201_3 [Crossref]
  28. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Su-Young Bae https://doi.org/10.1016/0364-0213(88)90023-7 [Crossref]
  29. Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4(4), 295-312. https://doi.org/10.1016/0959-4752(94)90003-5 [Crossref]
  30. Sweller, J. (2020). Cognitive load theory and educational technology. Educational Technology Research and Development, 68, 1-16. https://doi.org/10.1007/s11423-019-09701-3 [Crossref]
  31. Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. New York: Springer. https://doi.org/10.1007/978-1-4419-8126-4 [Crossref]
  32. Sweller, J., & Chandler, P. (1994). Why some material is difficult to learn. Cognition and Instruction, 12(3), 185-233. https://doi.org/10.1207/s1532690xci1203_1 [Crossref]
  33. Sweller, J., & Cooper, G. A. (1985). The use of worked examples as a substitute for problem solving in learning algebra. Cognition and Instruction, 2(1), 59-89. https://doi.org/10.1207/s1532690xci0201_3 [Crossref]
  34. Sweller, J., Mawer, R. F., & Ward, M. R. (1983). Development of expertise in mathematical problem solving. Journal of Experimental Psychology: General, 112(4), 639-661. https://doi.org/10.1037/0096-3445.112.4.639 [Crossref]
  35. Sweller, J., van Merriënboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251-296. https://doi.org/10.1023/A:1022193728205 [Crossref]
  36. Sweller, J., van Merriënboer, J. J. G., & Paas, F. G. W. C. (2019). Cognitive architecture and instructional design: 20 years later. Educational Psychology Review, 31, 261-292. https://doi.org/10.1007/s10648-019-09465-5 [Crossref]
  37. van Merriënboer, J. J. G., & Kirschner, P. A. (2017). Ten steps to complex learning: A systematic approach to four-component instructional design (3rd ed.). New York:Routledge.
  38. van Merriënboer, J. J. G., & Sweller, J. (2010). Cognitive load theory in health professional education: Design principles and strategies. Medical Education, 44(1), 85-93. https://doi.org/10.1111/j.1365-2923.2009.03498.x [Crossref]
  39. van Mierlo, C. M., Jarodzka, H., Kirschner, F., & Kirschner, P. A. (2012). Cognitive load theory in e-learning. In Z. Yan (Ed.), Encyclopedia of cyberbehavior (pp. 1178-1211). Hershey, PA: IGI Global. https://doi.org/10.4018/978-1-4666-0315-8.ch097 [Crossref]

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