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Issue title: Impact of Intelligence Methodologies on Education and Training Process
Guest editors: Vijayalakshmi Saravanan
Article type: Research Article
Authors: Liu, Meichen; * | Huang, Jieru
Affiliations: Jiangxi Normal University, Nanchang Jiangxi, China
Correspondence: [*] Corresponding author. Meichen Liu, Jiangxi Normal University, Nanchang Jiangxi, 330027, China. E-mail: [email protected].
Abstract: In recent years, with the rise of piano teaching, many people began to learn to play the piano. However, the expensive piano teaching cost and its unique teaching model that teachers and students are one to one have caused the shortage of piano education resources, and people learn piano playing has become a luxury activity. The use of computer multimedia software for piano teaching has become a feasible way to alleviate this contradiction. This paper proposes the design of an intelligent piano playing teaching system based on neural network, studies the realization method of the piano teaching system, presents a method of evaluating piano playing by using neural network model for the difficulties in computer piano teaching, that is, computer teaching is one-way knowledge transfer without interaction. In addition, this paper simulates the teacher to guide the students to carry on the playing practice, which is of great significance to the teaching of the piano.
Keywords: Artificial intelligence, piano teaching, evaluation, playing
DOI: 10.3233/JIFS-189389
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3525-3533, 2021
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