Optimization of Piano Performance Teaching Mode Using Network Big Data Analysis Technology

Optimization of Piano Performance Teaching Mode Using Network Big Data Analysis Technology

Xiang Wei, Shuping Sun
DOI: 10.4018/IJICTE.341266
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Abstract

To effectively avoid subjective bias in manual evaluation. This article proposes a MIDI piano teaching performance evaluation method based on bidirectional LSTM. This method utilizes a three-layer bidirectional LSTM neural network mechanism to make it easier for the model to capture useful information. In addition, the Spark clustering training model is constructed using the deeplearning4j deep learning framework, and the model parameters are adjusted through the UI dependency relationships provided by deeplearning4j to improve work efficiency. The experimental results verified the superiority of the bidirectional LSTM model. The methods provided in this article can improve students' independent practical abilities and reduce the pressure on teachers during the teaching process. These measures can promote the development of music education, improve students' music literacy and learning skills, and make positive contributions to the music education industry.
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Literature Review

Music education is formed naturally with the development of human society, culture, and physiology. This is one of the important signs of human evolution. Piano teaching is one of the important basic courses for a music education major, and it is also a required course (Li, 2020). Every step of music education professional development is accompanied by the development of piano curriculum. After the Opium War, under the influence of western music culture, with the establishment of new schools, China’s music education began to improve (Ranjan, 2014). Some women’s schools in Shanghai set up special piano courses, and music teachers gradually learned to spread music cultural knowledge in the form of piano performance and to carry out music teaching activities in the classroom (Sun, 2021). Later, music associations, such as the Peking University Music Research Association, emerged and gradually became the earliest music education institutions in China (Wang, 2022). Subsequently, Xiao Youmei officially established the China Conservatory of Music, marking the official establishment of China’s modern professional music colleges and opening a new chapter in Chinese piano teaching (Xia, 2020). With the continuous progress and development of society, there is an increasing demand for compound talents (Yan, 2022).

Some major music colleges are still cultivating piano postgraduates in the direction of music education, and gradually develop master training centers (Shuo & Xiao, 2019). They have also cultivated many excellent piano professionals for the country (Wang et al., 2020).

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