Research on innovative model of piano informatization teaching under the background of big data and soft computing

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY
Huayue Yan
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引用次数: 0

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.
大数据与软计算背景下钢琴信息化教学创新模式研究
新型社交媒体的不断涌现,促进了数据在生活中的互动。在此背景下,大数据技术逐渐成为教育领域具有特殊价值的一种技术。它通过收集和分析特定类型的数据来实现业务决策。将技术应用于教育领域,可以实现对学生学习需求和课堂教学效率的分析,而将大数据技术应用于钢琴教学,可以加强钢琴教学与技术的结合,同时为钢琴教学的全过程提供更多的数据分析和决策支持。软计算通过结合各种复杂的算法来简化计算过程。软计算类似于人脑的处理和感知。它可以通过低成本和不确定的过程完成多变量复杂计算。随着不断整合,教学过程中产生的变量逐渐增多,软计算技术的应用可以有效解决钢琴教学分析中因变量众多而产生的复杂计算问题。本文首先分析了大数据、软计算和钢琴信息化教学的基本理论,然后通过问卷调查和分析得出当前钢琴信息化教学中存在的问题,并分别设计了基于大数据和软计算技术的钢琴信息化、教学创新模式。通过结合技术策略对钢琴信息化教学机构进行事后调查,发现该机构钢琴信息化教学内容与学生学习需求的匹配程度、钢琴教师教学效果评价的准确性、学生钢琴学习成绩均有提高。
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
152
期刊介绍: The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.
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