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EarSketch: An integrated approach to teaching introductory computer music

  • Scott McCoid
    ,
  • Jason Freeman
    ,
  • Brian Magerko
    ,
  • Christopher Michaud
    ,
  • ,
  • Tom Mcklin
  • Georgia Institute of Technology
    ,
  • Marist School
    ,
  • The Findings Group
    ,
  • Tufts University
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 146-160

Journal (Volume, Issue Number)

Organised Sound (Volume 18, Issue 2)

Publication milestones

  • Published - 08/2013

Publication status

Published - 08/2013

Publication IDs

  • ORCID: /0000-0001-6135-410X/work/53315327
  • Scopus: 84880317918

Abstract

EarSketch is an all-in-one approach to supporting a holistic introductory course to computer music as an artistic pursuit and a research practice. Targeted to the high school and undergraduate levels, EarSketch enables students to acquire a strong foundation in electroacoustic composition, computer music research and computer science. It integrates a Python programming environment with a commercial digital audio workstation program (Cockos’ Reaper) to provide a unified environment within which students can use programmatic techniques in tandem with more traditional music production strategies to compose music. In this paper we discuss the context and goals of EarSketch, its design and implementation, and its use in a pilot summer camp for high school students.

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