449
Views
15
CrossRef citations to date
0
Altmetric
Original Articles

The Music Paint Machine: Stimulating Self-monitoring Through the Generation of Creative Visual Output Using a Technology-enhanced Learning Tool

, , &
Pages 79-101 | Published online: 16 Apr 2012
 

Abstract

In this paper, we discuss the pedagogically grounded and research-based design of a technology-enhanced learning tool, the Music Paint Machine. This interactive music system introduces a musical experience in which the musician creates a digital painting by playing an acoustic musical instrument and by moving the body on a coloured pressure mat. As a learning tool it aims at the development of musical creativity, at the stimulation of embodied understanding of music and at the development of an intimate relationship with the musical instrument.

First, the methodological approach is outlined and pedagogical and theoretical backgrounds are discussed. Then, we report on an experiment in which 51 amateur musicians participated. The experiment aimed at probing the application's potential to induce a flow experience and to learn about how participants evaluate the didactic relevance of the Music Paint Machine. Results suggest that the Music Paint Machine has the potential to evoke a flow experience. Furthermore participants acknowledged its didactic relevance with regard to learning to improvise, to developing understanding of musical parameters and to stimulating creativity.

Acknowledgements

This work is part of the EmcoMetecca project supported by the Flemish Government (http://www.ipem.ugent.be/EmcoMetecca). The authors wish to thank their IPEM colleagues: Ivan Schepers for his contribution to the design of the coloured mat and for making it, Pieter Coussement for programming the first software version, Frank Desmet for his help with the data analysis, and Aagje Lachaert for the linguistic revision. Special thanks to Matthias Demoucron for the final review.

Notes

1Sparkfun Razor 9DOF IMU AHRS: http://www.sparkfun.com/products/9623

2Processing 1.0, retrieved May 7, 2009, from www.processing.org

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 471.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.