Affiliations: School of Art, Zhejiang Yuexiu University, Shaoxing, Zhejiang 312000, China | E-mail: yanhua_vip@outlook.com
Correspondence:
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School of Art, Zhejiang Yuexiu University, Shaoxing, Zhejiang
312000, China. E-mail: yanhua_vip@outlook.com.
Abstract: The continuous emergence of new social media has promoted the interaction of data in life. In this context, big data technology has gradually become a type of technology with special value in the field of education. It realizes business decision-making through the collection and analysis of specific types of data. The application of technology to the field of education can realize the analysis of students’ learning needs and classroom teaching efficiency, while the application of big data technology to piano teaching can strengthen the combination of piano teaching and technology, and at the same time provide more data analysis and decision support for the whole process of piano teaching. Soft computing simplifies the calculation process by combining a variety of sophisticated algorithms. Soft computing is similar to human brain processing and perception. It can complete multi-variable complex calculations through low-cost and uncertain processes. With the continuous integration, the variables generated in the teaching process gradually increase, and the application of soft computing technology can effectively solve the complex calculation problems caused by many variables in the analysis of piano teaching. This paper first analyzes the basic theory of big data, soft computing and piano informatization teaching, and then obtains the problems existing in the current piano informatization teaching through questionnaire survey and analysis, and designs piano informatization, teaching innovation model based on big data and soft computing technology respectively. Through the post-investigation of the piano informatization teaching institutions combined with technical strategies, it is found that the degree of match between the piano informatization teaching content of the institution and the students’ learning needs, the evaluation accuracy of piano teachers’ teaching effects, and the students’ piano learning performance have improved.
Keywords: Big data, soft computing, piano, information-based teaching, innovation
