Mathematical Analysis of Piano Educational Process Using Big Size Piano Competition Data

Abstract

In this paper, we mathematically analyze the piano education process in postwar Japan society by using big data of student piano competition. Specifically, we used a total of 560,000 databases of PTNA piano competition from 1992 to 2015. By analyzing the database, the social distance in terms of piano culture and the process of piano technology transfer will be clarified. The focus of this research is "network" and "distance" concerning （i） teacher relations in piano education and （ii） learning process of music. By quantitatively analyzing piano education "process" developed on three axes of time, space and difficulty, not only visualization of the hypothesis perceived by the piano educator sensibly but also new findings by mathematical consequences was derived.