Author(s)

Haoduo Yang ¹, Jingxian Li ²

Affiliation(s)

¹ International Education Management, Woosong University, Daejeon Metropolitan, South Korea
² Northwest Institute of Nuclear Technology Kindergarten, Northwest Institute of Nuclear Technology, Xi'an, Shaanxi, China

Corresponding Author

Haoduo Yang

ABSTRACT

Early childhood is a critical period for a person's quality development, and their own learning thinking, ability, and quality are greatly affected. Physical education is a course that enhances students' body quality and physical fitness level. In the current environment of deepening reform, it is necessary to optimize teaching methods, content, and system to achieve the goal of strengthening the quality and physical fitness level of young children, and to some extent, promote students to form good physical exercise habits and physical fitness at the current stage. In order to carry out a new reform in the development of early childhood education, this article attempted to collect data on various indicators of physical training for young children (physical fitness testing, motor skills, and physical fitness indicators) through big data technology for data analysis, in order to implement personalized physical training for young children. In the experiment, when the sample data was between 1 and 10×104, the mean square error of data analysis in data mining technology was less than or equal to 0.12076, which was lower than other algorithms.

KEYWORDS

Early Childhood Physical Education, Big Data Technology, Decision Tree, Data Mining Technology

CITE THIS PAPER

Haoduo Yang, Jingxian Li, Reform of Early Childhood Physical Education Development Based on Big Data Technology. Advances in Educational Technology and Psychology (2023) Vol. 7: 103-110. DOI: http://dx.doi.org/10.23977/aetp.2023.071816.

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