Advertisement

MUSIX: Learning Analytics in Music Teaching

  • Claudia GuillotEmail author
  • Rébecca Guillot
  • Vive Kumar
  • Kinshuk
Conference paper
Part of the Lecture Notes in Educational Technology book series (LNET)

Abstract

This chapter exposes MUSIX, an analytics tool about to be developed, that will enrich music learning and enhance the music teaching approach. MUSIX will collect data from music theory lessons, the playing of instrumental pieces, sight-singing, and vocal training, and subsequently teach and help each student through computerized analysis to better themselves. This software will offer precise instructions, exercises, games, and quizzes to fill in gaps and build a strong understanding using self-regulation and co-regulation techniques. Computer software, audio recording, and MIDI connection between the instrument and the computer are different means that will be used to track the results that will be analyzed and then displayed in a compelling dashboard.

Keywords

Music analytics Teaching approach E-learning E-teaching Audio software Human–computer interaction 

References

  1. 1.
    Portowitz, A. (2014). In harmony: A technology-based music education model to enhance musical understanding and general learning skills. ISME—International Journal of Music Education, 32(2), 242–260.CrossRefGoogle Scholar
  2. 2.
    Baas, D. (2015). The relation between assessment for learning and elementary students’ cognitive and metacognitive strategy use. British Journal of Educational Psychology, 85, 33–46.CrossRefGoogle Scholar
  3. 3.
    Goebl, W. (2004). Once again: The perception of piano touch and tone. Can touch audibly change piano sound independently of intensity. In ISMA—International Symposium on Musical Acoustics.Google Scholar
  4. 4.
    Hambrick, D. Z. (2013). Deliberate practice: Is that all it takes to become an expert? Intelligence, 45, 34–45.Google Scholar
  5. 5.
    Maidhof, C. (2009). Nobody is perfect: ERP effects prior to performance errors in musicians indicate fast monitoring processes. PLoS One, 4(4), e5032.Google Scholar

Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  • Claudia Guillot
    • 1
    Email author
  • Rébecca Guillot
    • 1
  • Vive Kumar
    • 1
  • Kinshuk
    • 1
  1. 1.School of Computer ScienceAthabasca UniversityEdmontonCanada

Personalised recommendations