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MatchMySound: Introducing Feedback to Online Music Education

  • Kristo Kão
  • Margus Niitsoo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8699)

Abstract

The quick spread of the internet has made music education, once only the domain of the rich elite, accessible to an unprecedented number of people around the world. As private tuition is still expensive, however, most people currently learning an instrument do so based purely on one-way instructional materials that provide information without any feedback. In this paper, we describe and implement a system which can be used to add interactive exercises to web-based self study materials that will provide immediate feedback on student’s playing by comparing it to the example played by the teacher. To evaluate the quality of the feedback produced by the system, its scoring is compared to two conservatory level teachers on 216 guitar exercise attempts made by 108 beginner hobbyist guitarists. Results indicate that the system shows strong promise as its grades correspond quite well with the grades given by human teachers.

Keywords

Online music education Music information retrieval Automatic feedback E-textbooks Guitar 

References

  1. 1.
    Cassidy, G.G., Paisley, A.M.: Music-games: a case study of their impact. Res. Stud. Music Educ. 35(1), 119–138 (2013)CrossRefGoogle Scholar
  2. 2.
    Criss, E.: The natural learning process. Music Educators J. 95(2), 42–46 (2008)CrossRefGoogle Scholar
  3. 3.
    Cunningham, S.J., Bainbridge, D., Downie, J.S.: The impact of mirex on scholarly research (2005–2010). In: Proceedings of 13th International Society for Music Information Retrieval Conference (2012)Google Scholar
  4. 4.
    Deniz, J.: Video recorded feedback for self regulation of prospective music teachers in piano lessons. J. Instr. Psychol. 39(1), 17–25 (2012)MathSciNetGoogle Scholar
  5. 5.
    Dittmar, C., Cano, E., Abeßer, J., Grollmisch, S.: Music information retrieval meets music education. Dagstuhl Follow-Ups 3 (2012)Google Scholar
  6. 6.
    Dixon, S.: Live tracking of musical performances using on-line time warping. In: Proceedings of the 8th International Conference on Digital Audio Effects, Citeseer, pp. 92–97 (2005)Google Scholar
  7. 7.
    Hill, L.: Violin Virtuoso: A game for violin education. Ph.D. thesis, Rice University (2011)Google Scholar
  8. 8.
    Jenson, J., De Castell, S.: From simulation to imitation: new controllers, new forms of play. In: Proceedings of the 2nd European Conference on Games-Based Learning, Barcelona, Spain, pp. 16–17 (2008)Google Scholar
  9. 9.
    Kalyuga, S., Chandler, P., Sweller, J.: Managing split-attention and redundancy in multimedia instruction. Appl. Cogn. Psychol. 13(4), 351–371 (1999)CrossRefGoogle Scholar
  10. 10.
    Karlsson, J., Liljeström, S., Juslin, P.N.: Teaching musical expression: effects of production and delivery of feedback by teacher vs. computer on rated feedback quality. Music Educ. Res. 11(2), 175–191 (2009)CrossRefGoogle Scholar
  11. 11.
    van der Kleij, F.M., Eggen, T.J., Timmers, C.F., Veldkamp, B.P.: Effects of feedback in a computer-based assessment for learning. Comput. Educ. 58(1), 263–272 (2012)CrossRefGoogle Scholar
  12. 12.
    Käo, K.: Guitar School - the Key to the Practical Guitar Playing. Kitarrikool Publishing, Tallinn (2009)Google Scholar
  13. 13.
    Kohut, D.L.: Musical Performance: Learning Theory and Pedagogy. Prentice-Hall, New Jersey (1985)Google Scholar
  14. 14.
    Kruskal, J.B., Liberman, M.: The symmetric time-warping problem: from continuous to discrete. In: Sankoff, D., Kruskal, J. (eds.) Time Warps, String Edits and Macromolecules: The Theory and Practice of Sequence Comparison, pp. 125–161. Addison Wesley, Reading (1983)Google Scholar
  15. 15.
    Muntean, C.I.: Raising engagement in e-learning through gamification. In: Proceedings of the 6th International Conference on Virtual Learning ICVL, pp. 323–329 (2011)Google Scholar
  16. 16.
    Napoles, J., Bowers, J.: Differential effects of instructor feedback vs. self-observation analysis on music education majors’ increase of specific reinforcement in choral rehearsals. Bull. Counc. Res. Music Educ. 183, 39–48 (2010)Google Scholar
  17. 17.
    Peppler, K., Downton, M., Lindsay, E., Hay, K.: The nirvana effect: Tapping video games to mediate music learning and interest. Int. J. Learn. Media (2011)Google Scholar
  18. 18.
    Richardson, P., Kim, Y.: Beyond fun and games: a framework for quantifying music skill developments from video game play. J. New Music Res. 40(4), 277–291 (2011)CrossRefGoogle Scholar
  19. 19.
    Sadakata, M., Hoppe, D., Brandmeyer, A., Timmers, R., Desain, P.: Real-time visual feedback for learning to perform short rhythms with expressive variations in timing and loudness. J. New Music Res. 37(3), 207–220 (2008)CrossRefGoogle Scholar
  20. 20.
    Shute, V.J.: Focus on formative feedback. Rev. Educ. Res. 78(1), 153–189 (2008)CrossRefGoogle Scholar
  21. 21.
    Sweller, J.: Cognitive load theory: recent theoretical advances. In: Briinken, R. (ed.) Cognitive Load Theory, pp. 29–47. Cambridge University Press, New York (2010)CrossRefGoogle Scholar
  22. 22.
    Tanenbaum, J., Bizzocchi, J.: Rock band: a case study in the design of embodied interface experience. In: Proceedings of the 2009 ACM SIGGRAPH Symposium on Video Games, pp. 127–134. ACM (2009)Google Scholar
  23. 23.
    Welch, G.F., Howard, D.M., Himonides, E., Brereton, J.: Real-time feedback in the singing studio: an innovatory action-research project using new voice technology. Music Educ. Res. 7(2), 225–249 (2005)CrossRefGoogle Scholar
  24. 24.
    Wilson, P.H., Lee, K., Callaghan, J., Thorpe, C.W.: Learning to sing in tune: Does real-time visual feedback help. In: CIM07: 3rd Conference on Interdisciplinary Musicology, Tallinn, Estonia, vol. 2, p. 1519 (2007)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.University of TartuTartuEstonia

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