Research on Dance Art Teaching System Based on Data Mining and Machine Learning

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Abstract

In order to improve the scientificity of dance teaching system and the teaching effect, this paper creatively combines machine learning and data mining technology to build a dance teaching system based on the data mining and machine learning, which identifies and adjusts the moves according to the features so that the system is suitable for distance and local identification. The dance teaching system built on data mining and machine learning technology improves based on the traditional teaching mode. The data mining mainly deals with dance teaching resources, and the machine learning is to identify and collect dance move features. With the help of the algorithm put in this paper, the dance teaching effect will be improved accordingly. Tests and studies testifies that the teaching effect in the paper is reliable. Later the teaching quality can be continually improved in the practice by applying the system in the paper.

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APA

Zhang, D. (2024). Research on Dance Art Teaching System Based on Data Mining and Machine Learning. Computer-Aided Design and Applications, 21(S2), 54–68. https://doi.org/10.14733/cadaps.2024.S2.54-68

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