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A Web Platform to Foster and Assess Tonal Harmony Awareness

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Computer Supported Education (CSEDU 2019)

Abstract

This paper investigates the use of computer-based technologies applied to early learning of tonal music harmony, a topic often considered too abstract and difficult for young students or amateurs. A web-based platform is described, aimed at fostering and assessing harmonic awareness in children by leveraging on chord perception, gestural interaction and gamification techniques. The application guides young learners through 3 experiences towards the discovery of important features of tonal harmony, where they can listen to melodies or chunks of well-known music pieces and associate chords to them. Users’ actions during the experiences are recorded and analyzed. An early experimentation with 45 school teachers was conducted with the goal of assessing the usability of the application, the level of acceptance by teachers, and prototypical behaviors during the experiences. The results provide guidelines on how to evaluate user performances, as well as useful indications for further development of the platform.

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Notes

  1. 1.

    https://apps.apple.com/us/app/garageband/id408709785.

  2. 2.

    https://songify.en.uptodown.com.

  3. 3.

    https://www.moogmusic.com/products/animoog.

  4. 4.

    https://www.spotify.com.

  5. 5.

    https://www.pandora.com.

  6. 6.

    http://www.iheartradio.ca.

  7. 7.

    https://www.joytunes.com.

  8. 8.

    https://yousician.com.

  9. 9.

    https://www.uberchord.com.

  10. 10.

    https://www.pgmusic.com.

  11. 11.

    https://chordify.net.

  12. 12.

    https://www.smartmusic.com.

  13. 13.

    https://tonara.com.

  14. 14.

    https://www.microsoft.com/en-us/research/project/mysong-automatic-accompaniment-vocal-melodies.

  15. 15.

    Dynamic time warping is an algorithm for measuring similarity between two temporal sequences [28].

  16. 16.

    https://mdecks.com/mapharmony.phtml.

  17. 17.

    http://didacta18.lim.di.unimi.it/eng/.

  18. 18.

    http://fieradidacta.indire.it/, the most important Italian fair focusing on education, vocational training and relation among school and work.

  19. 19.

    http://didacta18.lim.di.unimi.it/results/index.html.

References

  1. Apel, W.: The Harvard Dictionary of Music. Harvard University Press, Cambridge (2003)

    Google Scholar 

  2. Avanzini, F., Ludovico, L.A., Baratè, A., Mandanici, M.: Metrics for the automatic assessment of music harmony awareness in children. In: Proceedings International Conference Sound and Music Computing (SMC2019), pp. 372–379. Malaga, May 2019

    Google Scholar 

  3. Beckstead, D.: Will technology transform music education? Music Educ. J. 87(6), 44–49 (2001)

    Article  Google Scholar 

  4. Brandao, M., Wiggins, G., Pain, H.: Computers in music education. In: Proceedings of the AISB 1999 Symposium on Musical Creativity, pp. 82–88 (1999)

    Google Scholar 

  5. Brown, A., Brown, A.R.: Computers in Music Education: Amplifying Musicality. Routledge (2012)

    Google Scholar 

  6. Butler, D., Brown, H.: Describing the Mental Representation of Tonality in Music. Oxford University Press, Oxford (1994)

    Google Scholar 

  7. Chew, E., Francois, A.R.: Interactive multi-scale visualizations of tonal evolution in MuSA. RT Opus 2. Comput. Entertain. 3(4), 1–16 (2005)

    Google Scholar 

  8. Cohrdes, C., Grolig, L., Schroeder, S.: Relating language and music skills in young children: a first approach to systemize and compare distinct competencies on different levels. Front. Psychol. 7, 1616 (2016)

    Article  Google Scholar 

  9. Corrigall, K., Trainor, L.: Effects of musical training on key and harmony perception. Ann. N. Y. Acad. Sci. 1169(1), 164–168 (2009)

    Article  Google Scholar 

  10. Costa-Giomi, E.: Young children’s harmonic perception. Ann. N. Y. Acad. Sci. 999(1), 477–484 (2003)

    Article  Google Scholar 

  11. Crawford, R.: Rethinking teaching and learning pedagogy for education in the twenty-first century: blended learning in music education. Music Educ. Res. 19(2), 195–213 (2017)

    Article  Google Scholar 

  12. Crow, B.: Music-related ICT in education. In: Learning to Teach Music in the Secondary School, pp. 130–153. Routledge (2005)

    Google Scholar 

  13. Csapó, B., Ainley, J., Bennett, R.E., Latour, T., Law, N.: Technological issues for computer-based assessment. In: Griffin, P., McGaw, B., Care, E. (eds.) Assessment and Teaching of 21st Century Skills, pp. 143–230. Springer, Dordrecht (2012). https://doi.org/10.1007/978-94-007-2324-5_4

    Chapter  Google Scholar 

  14. Dittmar, C., Cano, E., Abeßer, J., Grollmisch, S.: Music information retrieval meets music education. In: Dagstuhl Follow-Ups. vol. 3. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik (2012)

    Google Scholar 

  15. European Commission: Digital learning & ICT in education (2019). https://ec.europa.eu/digital-single-market/en/policies/digital-learning-ict-education

  16. Folkestad, G.: Formal and informal learning situations or practices vs formal and informal ways of learning. Br. J. Music Educ. 23(2), 135–145 (2006)

    Article  Google Scholar 

  17. Hedges, T.W., McPherson, A.P.: 3D gestural interaction with harmonic pitch space. In: Proceedings of the International Computer Music Conference and Sound and Music Computing Conference (ICMC-SMC 2013), pp. 103–108 (2013)

    Google Scholar 

  18. Holland, S.: Learning about harmony with harmony space: an overview. In: Smith, M., Smaill, A., Wiggins, G.A. (eds.) Music Education: An Artificial Intelligence Approach, pp. 24–40. Springer, London (1994). https://doi.org/10.1007/978-1-4471-3571-5_2

    Chapter  Google Scholar 

  19. Johnson, D., Manaris, B., Vassilandonakis, Y.: Harmonic navigator: an innovative, gesture-driven user interface for exploring harmonic spaces in musical corpora. In: Kurosu, M. (ed.) HCI 2014. LNCS, vol. 8511, pp. 58–68. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07230-2_6

    Chapter  Google Scholar 

  20. Krumhansl, C.L.: Rhythm and pitch in music cognition. Psychol. Bull. 126(1), 159 (2000)

    Article  Google Scholar 

  21. Laitz, S.G.: The Complete Musician: An Integrated Approach to Tonal Theory, Analysis, and Listening. Oxford University Press, Oxford (2015)

    Google Scholar 

  22. Law, L.N., Zentner, M.: Assessing musical abilities objectively: construction and validation of the profile of music perception skills. PLoS ONE 7(12), e52508 (2012)

    Article  Google Scholar 

  23. Lerch, A., Arthur, C., Pati, A., Gururani, S.: Music performance analysis: a survey. In: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), Delft, 2019 (2019)

    Google Scholar 

  24. Lerdahl, F., Jackendoff, R.S.: A Generative Theory of Tonal Music. MIT press, Cambridge (1996)

    Book  Google Scholar 

  25. Mandanici, M., Ludovico, L., Avanzini, F., et al.: A computer-based approach to teach tonal harmony to young students. In: International Conference on Computer Supported Education, pp. 271–279. SCITEPRESS (2019)

    Google Scholar 

  26. Mishra, P., Koehler, M.J.: Technological pedagogical content knowledge: a framework for teacher knowledge. Teach. Coll. Record 108(6), 1017–1054 (2006)

    Article  Google Scholar 

  27. MIUR: Piano nazionale scuola digitale (2015). https://www.miur.gov.it/scuola-digitale

  28. Müller, M., Mattes, H., Kurth, F.: An efficient multiscale approach to audio synchronization. In: ISMIR, vol. 546, pp. 192–197. Citeseer (2006)

    Google Scholar 

  29. Papert, S.: Mindstorms: Children, Computers, and Powerful Ideas. Basic Books Inc. (1980)

    Google Scholar 

  30. Peretz, I., Champod, A.S., Hyde, K.: Varieties of musical disorders: the montreal battery of evaluation of amusia. Ann. N. Y. Acad. Sci. 999(1), 58–75 (2003)

    Article  Google Scholar 

  31. Piaget, J.: The Origins of Intelligence in Children. International Universities Press, New York (1952)

    Book  Google Scholar 

  32. Rameau, J.P.: Traité de l’harmonie reduite à ses principes naturels: divisé en quatre livres. Ballard (1722)

    Google Scholar 

  33. Reber, A.S.: Implicit learning and tacit knowledge. J. Exp. Psychol. Gen. 118(3), 219 (1989)

    Article  Google Scholar 

  34. Riemann, H.: Harmony Simplified, or the Theory of the Tonal Functions of Chords. Augener Ltd. (1896)

    Google Scholar 

  35. Schellenberg, E.G., Bigand, E., Poulin-Charronnat, B., Garnier, C., Stevens, C.: Children’s implicit knowledge of harmony in western music. Dev. Sci. 8(6), 551–566 (2005)

    Article  Google Scholar 

  36. Schenker, H.: Free Composition: Volume III of New Musical Theories and Fantasies, vol. 1. Pendragon Press (2001)

    Google Scholar 

  37. Seashore, C.E., Lewis, D., Saetveit, J.G.: Seashore Measures of Musical Talents. Psychological Corp. (1956)

    Google Scholar 

  38. Sephus, N.H., Olubanjo, T.O., Anderson, D.V.: Enhancing online music lessons with applications in automating self-learning tutorials and performance assessment. In: 2013 12th International Conference on Machine Learning and Applications, vol. 2, pp. 568–571. IEEE (2013)

    Google Scholar 

  39. Shelton, J., Kumar, G.P.: Comparison between auditory and visual simple reaction times. Neurosci. Med. 1(1), 30–32 (2010)

    Article  Google Scholar 

  40. Shute, V.J., Ke, F.: Games, learning, and assessment. In: Ifenthaler, D., Eseryel, D., Ge, X. (eds.) Assessment in Game-Based Learning, pp. 43–58. Springer, New York (2012). https://doi.org/10.1007/978-1-4614-3546-4_4

    Chapter  Google Scholar 

  41. Stevens, R.: Editorial. Res. Stud. Music Educ. 3(1), 1–2 (1994). https://doi.org/10.1177/1321103X9400300101

    Article  MathSciNet  MATH  Google Scholar 

  42. Teplov, B.: Psychology of music and musical abilities. Leningrad: Izdatelstvo Pedagogicheskih Nauk (in Russian), Moscow (1947)

    Google Scholar 

  43. Trehub, S.E., Hannon, E.E.: Infant music perception: domain-general or domain-specific mechanisms? Cognition 100(1), 73–99 (2006)

    Article  Google Scholar 

  44. Vidwans, A., Gururani, S., Wu, C.W., Subramanian, V., Swaminathan, R.V., Lerch, A.: Objective descriptors for the assessment of student music performances. In: Audio Engineering Society Conference: 2017 AES International Conference on Semantic Audio. Audio Engineering Society (2017)

    Google Scholar 

  45. Wallentin, M., Nielsen, A.H., Friis-Olivarius, M., Vuust, C., Vuust, P.: The musical ear test, a new reliable test for measuring musical competence. Learn. Individ. Differ. 20(3), 188–196 (2010)

    Article  Google Scholar 

  46. Walls, K.C.: Music performance and learning: the impact of digital technology. Psychomusicol.: J. Res. Music Cogn. 16(1–2), 68 (1997)

    Article  Google Scholar 

  47. Webster, P.R.: Construction of music learning. MENC Handb. Res. Music Learn. 1, 35–83 (2011)

    Article  Google Scholar 

  48. Zagami, J., et al.: Creating future ready information technology policy for national education systems. Technol. Knowl. Learn. 23(3), 495–506 (2018)

    Article  Google Scholar 

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Correspondence to Luca A. Ludovico .

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Avanzini, F., Baratè, A., Ludovico, L.A., Mandanici, M. (2020). A Web Platform to Foster and Assess Tonal Harmony Awareness. In: Lane, H.C., Zvacek, S., Uhomoibhi, J. (eds) Computer Supported Education. CSEDU 2019. Communications in Computer and Information Science, vol 1220. Springer, Cham. https://doi.org/10.1007/978-3-030-58459-7_19

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  • DOI: https://doi.org/10.1007/978-3-030-58459-7_19

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