In order to improve the educational effect of preschool education, this paper tries to integrate music education into preschool education. The fusion of preschool education and music education in smart kindergartens is suitable for adopting a hierarchical structure to meet the daily teaching needs and educational data analysis needs of kindergartens. Therefore, this paper proposes an intelligent data rapid retrieval algorithm model based on data mining and machine learning, so as to improve the efficiency and accuracy of data retrieval methods. On the basis of machine learning algorithms, music education is integrated into the smart kindergarten teaching platform. Combined with the experimental results, it can be seen that the method of applying data mining technology to the fusion of preschool education and music education in smart kindergartens improves the effect of preschool education in kindergartens and improves user satisfaction.

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Fusion Strategy of Preschool Education and Music Education Combined with Data Mining Technology

  • Weiwei Liu,
  • Jinwen Yu

摘要

In order to improve the educational effect of preschool education, this paper tries to integrate music education into preschool education. The fusion of preschool education and music education in smart kindergartens is suitable for adopting a hierarchical structure to meet the daily teaching needs and educational data analysis needs of kindergartens. Therefore, this paper proposes an intelligent data rapid retrieval algorithm model based on data mining and machine learning, so as to improve the efficiency and accuracy of data retrieval methods. On the basis of machine learning algorithms, music education is integrated into the smart kindergarten teaching platform. Combined with the experimental results, it can be seen that the method of applying data mining technology to the fusion of preschool education and music education in smart kindergartens improves the effect of preschool education in kindergartens and improves user satisfaction.