Interpreting and Applying Research-Based Learning Strategies for Musical Practice

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Description
The practice strategies that musicians employ can be made more effective by leveraging existing research about memory and learning. Musicians often use strategies that feel intuitive, such as massed practice and rote repetition, but that research has proven ineffective. When

The practice strategies that musicians employ can be made more effective by leveraging existing research about memory and learning. Musicians often use strategies that feel intuitive, such as massed practice and rote repetition, but that research has proven ineffective. When they do employ strategies that are effective, such as varied practice and chunking, they often do not understand the reasons why they are effective and therefore cannot use the principles behind effective learning to generate new approaches when faced with an unfamiliar challenge or learning plateau. In this paper, I propose that, through developing knowledge of the research surrounding learning and memory, musicians can acquire insight into the learning process and develop the ability to self-generate effective practice strategies that address issues specific to their own practice. As a result, they can avoid common learning pitfalls and gain greater confidence in their ability to approach learning complicated skills and taking on big projects. This paper examines and distills recent research of effective learning into an in-depth and practical document for use by musicians. Additionally, this document interprets and applies existing research-based learning strategies—such as retrieval practice, spaced repetition, varied practice, interleaved practice, and chunking—to musical practice through the lens of contemporary percussion repertoire. Readers of this work will develop an in-depth understanding of memory and learning and be able to apply that information practically and immediately in their own practice.
Date Created
2024
Agent

Morgan Sutherland, percussion

Date Created
2022-04-27
Agent