The Use of Artificial Intelligence Combined with Wireless Network in Piano Music Teaching

Abstract

Artificial intelligence (AI) development gives a new development direction to the traditional education model. The education reform in the intelligent environment is urgent. Under this background, the theory, methods, and characteristics of intelligent music education are expounded based on traditional piano music education. AI and Internet-based smart piano education is introduced. The characteristics of smart piano and its methods of assisting music teaching are analyzed. Moreover, literature review and questionnaire are adopted based on intelligent music education and smart piano theory. With two universities A and B in Nanjing as the research object, the questionnaire is designed to investigate and analyze the related problems of smart piano-assisted piano basic teaching in detail. The results show that smart piano positively improves skill training and psychological training in piano teaching. Piano major learners believe that smart piano can obviously help beginners and people with low piano levels. However, smart piano is not as good as traditional piano for high-level learners. In actual teaching, teachers should use different strategies for different levels of learners. Regarding curriculum quality, teachers have not fully played the role of the smart piano, and the curriculum of smart piano-assisted basic piano teaching still needs improvement. Finally, corresponding countermeasures and suggestions for the development direction of smart piano in piano music education are put forward according to the current situation of the smart piano. The results can reflect the current situation of smart piano-assisted basic piano teaching, provide a reference for researchers in related industries, and promote the related development of smart piano.

[Retracted] Innovative Practice of Multimusic Performance Culture Education of Core Literacy in Multimedia Environment

“…It can be used as a tool to enhance students' interest and fully arouse students' enthusiasm for learning [ 11 ]; Fan believes that in the process of multimedia technology-assisted teaching, teaching purposes and methods are issues that need to be carefully considered by teachers [ 12 ]. In order to more accurately understand the characteristics and effects of multimedia technology as a high-level cognitive tool, educational psychologists have done a lot of related experiments [ 13 ]. Norman studied the characteristics of “construction” and “carrier” of multimedia technology and their relationship with teaching objectives [ 14 ]; Guo conducted a comparative study on the presentation effects of text media and animation media [ 15 ] and found that the effect of using multimedia technology not only has significant individual differences but also different types and characteristics of media.…”

Design and Implementation of Multimedia Teaching Course for Piano Enlightenment Oriented to Aesthetic Ability Development

“…In the CNN (Convolutional Neural Network)-based note level automatic transcription method, to perform feature extraction, the input sound signal is preprocessed to extract time-frequency domain features, and the spectrum is mapped to a linear space with log base using constant Q-transform to obtain a multitone level spectral window (Sun et al, 2020;Yu & Luo, 2022). To obtain the temporal value of each note, the starting and stopping points of the notes are identified separately, both of which are performed by a separate convolutional neural network.…”

Intelligent Construction of University Music Education Teaching System Based on Artificial Intelligence Technology

“…These tools utilize natural language processing to assess students' writing and speaking skills, providing instant feedback and suggestions for improvement. Additionally, AI-driven chatbots and virtual tutors simulate real conversations, enabling students to practice English in a supportive environment and enhancing their speaking and listening abilities [9][10][11]. Moreover, AI algorithms analyze vast amounts of language data to identify common errors, language patterns, and areas of difficulty for learners, allowing teachers to better customize their instruction [12].…”