Exploring Inclusive Evolution in Music Academia: Experimental Practices in Contemporary Music

Abstract

For individuals with disabilities, music lessons often serve as effective art therapy, a prevalent approach in Kazakhstan and globally. However, what if a student aspires to pursue music professionally? Are contemporary methods equipped to provide comprehensive music education to everyone, regardless of their physical or cognitive limitations? This paper examines inclusion issues in modern professional music education and practice. It suggests that contemporary music offers a pathway for the full participation and development of musicians with various disabilities, including conditions affecting strength, energy, or alertness, such as ADHD and multiple disabilities. Inclusive music teaching methodologies extend beyond technical accommodations in classrooms; they also involve the psycho-emotional literacy of educators and the use of adapted systems like Figurenotes, improvisation techniques, and specialized devices. This study analyzes available technologies, including music applications, that enhance contemporary music education and practice. The collaboration between contemporary music and inclusive practices holds potential for fostering new musical thinking, advancing professional music education, and benefiting society. The authors translate academic discourse into practical application, showcasing results from a collaboration between disabled musicians and a contemporary music ensemble at the Edinburgh Festival 2023. Through this practical experience, the paper aims to develop experimental musical practices and inclusive perspectives in education, science, and performance, highlighting the transformative power of inclusive evolution in contemporary music.



Author Information
Raushan Jumaniyazova, Kurmangazy Kazakh National Conservatory, Kazakhstan
Zhanel Safiyeva, Kurmangazy Kazakh National Conservatory, Kazakhstan

Paper Information
Conference: ACE2024
Stream: Education & Difference: Gifted Education

This paper is part of the ACE2024 Conference Proceedings (View)
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Posted by James Alexander Gordon