Abstract
If abstraction makes mathematics strong, it often makes it also hard to learn, if not discouraging. If math pedagogy suffers from the lack of engaging strategies, the pedagogy of mathematical music theory must deal with the additional difficulty of double fields and double vocabulary. However, games and interdisciplinary references in a STEAM framework can help the learner break down complex concepts into essential ideas, and gain interest and motivation to approach advanced topics. Here we present some general considerations, followed by two examples which may be applied in a high-school or early college level course. The first is a musical application of a Rubik’s cube, the CubeHarmonic, to approach group theory and combinatorics jointly with musical chords; the second is an application of category theory to investigate simple musical variations together with transformations on a visual shape.
M. Mannone is an alumna of the University of Minnesota, USA.
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A composition of scales still gives scales, as well as a composition of notes still gives notes, and the identity, when nothing changes.
References
Aleinikov, A.G.: Creative pedagogy. In: Carayannis, E.G. (ed.) Encyclopedia of Creativity Invention Innovation and Entrepreneurship, p. 327. Springer, New York (2013). https://doi.org/10.1007/978-1-4614-3858-8
Frey, A., Singmaster, D.: Handbook of the Cubik Math. Enslow Publishers, Hillside (1982)
Kubovy, M., Schutz, M.: Audio-visual objects. Rev. Philos. Psychol. 1(1), 41–61 (2010)
Lawvere, W., Schanuel, S.: Conceptual Mathematics: A First Introduction to Categories. Cambridge University Press, Cambridge (2011)
Mac Lane, S.: Categories for the Working Mathematician. Springer, New York (1978). https://doi.org/10.1007/978-1-4757-4721-8
Mannone, M.: Introduction to gestural similarity in music. An application of category theory to the orchestra. J. Math. Music 12(2), 63–87 (2018)
Mannone, M.: Can mathematical music theory be easily learnt and also be fun? In: Montiel, M., Gómez, F. (eds.) Theoretical and Practical Pedagogy of Mathematical Music Theory: Music for Mathematics and Mathematics for Musicians, From School to Postgraduate Levels, pp. 281–298. World Scientific, Singapore (2018)
Mannone, M., Kitamura, E., Huang, J., Sugawara, R., Kitamura, Y.: CubeHarmonic: a new interface from a magnetic 3D motion tracking system to music performance. In: Dahl, L., Bowman, D., Martin, T. (eds.) Proceedings of NIME Conference, Blacksburg, USA, pp. 350–351 (2018)
Mannone, M.: Networks of music and images. Gli Spazi della Musica 2(6), 38–52 (2017)
Markovits, Z.: Beliefs hold by pre-school prospective teachers toward mathematics and its teaching. Procedia - Soc. Behav. Sci. 11, 117–121 (2011)
Markovits, Z., Forgasz, H.: “Mathematics is like a lion”: elementary students’ beliefs about mathematics. Educ. Stud. Math. 96(1), 49–64 (2017)
Mazzola, G., Pang, Y., Mannone, M.: Cool Math for Hot Music. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-319-42937-3
Nolan, C.: On musical space and combinatorics: historical and conceptual perspectives in music theory. In: Sarhangi, R. (ed.) Bridges Proceedings, pp. 201–208 (2000)
Roffler, S., Butler, R.: Factors that influence the localization of sound in the vertical plane. J. Acoust. Soc. Am. 43, 1255–1259 (1968)
Spence, C.: Crossmodal correspondences: a tutorial review. Atten. Percept. Psychophys. 73, 971–995 (2011)
Tymoczko, D.: The generalized Tonnetz. J. Music Theory 1(56), 1–52 (2012)
Zweig, J.: Ars combinatoria. Art J. 3(56), 20–29 (2014)
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Mannone, M. (2019). Have Fun with Math and Music!. In: Montiel, M., Gomez-Martin, F., Agustín-Aquino, O.A. (eds) Mathematics and Computation in Music. MCM 2019. Lecture Notes in Computer Science(), vol 11502. Springer, Cham. https://doi.org/10.1007/978-3-030-21392-3_33
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