muco: A Music Computing Learning Application”

Patricia Hu, Oliver Hödl, Peter Reichl, Fares Kayali, Iris Eibensteiner, Bernhard Taufner, Sigrid Schefer-Wenzl, Igor Miladinovic

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Following a computational approach to music creation can serve as a transdisciplinary bridge between computer science, music and education by providing rich opportunities for teaching computing skills in interdisciplinary contexts. Making use of such learning contexts is one of the cornerstones of STEAM (STEM + Arts) education, a pedagogic approach focusing on integrating the arts and humanities into STEM fields. Despite numerous benefits reported in the literature, the number of STEAM programs integrated into formal learning contexts remains limited due to various integration challenges. In addressing these challenges, we developed and evaluated a gamified music computing learning application called muco, using the MVC software architecture along with React as the front-end, and Node and MariaDB as back-end technologies. The goal of the application is to make programming concepts more accessible and comprehensible to a broader public, and to simultaneously spark interest in music and music making. Making use of game mechanics, muco is conceptualised to teach computational thinking, and more specifically, introductory programming, in non-formal learning contexts. The usability of the application and impact of interdisciplinary learning is evaluated by means of both formative and summative testing. Results show that the application provides an engaging learning environment which encourages the exploration of both the computing and music domain.
Original languageEnglish
Title of host publicationProceedings of the Sound and Music Conference
EditorsRomain Michon, Laurent Pottier, Yann Orlarey
Pages139-146
Number of pages8
ISBN (Electronic)9782958412609
Publication statusPublished - 2022

Publication series

NameProceedings of the Sound and Music Computing Conferences
ISSN (Electronic)2518-3672

Fields of science

  • 202002 Audiovisual media
  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102003 Image processing
  • 102015 Information systems

JKU Focus areas

  • Digital Transformation

Cite this