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International Journal of Educational Curriculum Management and Research, 2021, 2(1); doi: 10.38007/IJECMR.2021.020102.

Data Mining in Optimizing Kindergarten Curriculum under the Background of Big Data


Meina Hu

Corresponding Author:
Meina Hu

Nanchang Institute of Science and Technology, Jiangxi 330108, China


With the development of educational informationization, the educational data of each school is increasing day by day. How to make rational use of the existing information to make scientific teaching decisions is a problem that every educator is closely concerned about. This paper mainly studies the application of data mining in optimizing kindergarten curriculum setting. This paper optimizes the physical intelligence course in kindergarten and forms a set of teaching mode integrating physical ability, intelligence and human ability organically. In order to test the scientific nature, operability and effectiveness of the teaching model, this study used the action research method to test the optimization results, and selected the experimental class and the control class for independent sample t test. The results show that there are significant differences in intelligence and human ability between the experimental class and the control class, and the children in the experimental class have improved significantly in these two aspects.


Big Data, Data Mining, Curriculum Design, Curriculum Optimization, Intelligent Teaching

Cite This Paper

Meina Hu. Data Mining in Optimizing Kindergarten Curriculum under the Background of Big Data. International Journal of Educational Curriculum Management and Research (2021), Vol. 2, Issue 1: 8-14. https://doi.org/10.38007/IJECMR.2021.020102.


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