Development and Implementation Path of Kindergarten Stem Educational Activities Based on Data Mining

Comput Intell Neurosci. 2022 Jan 25:2022:2700674. doi: 10.1155/2022/2700674. eCollection 2022.

Abstract

Early childhood education in China has given stem education constant attention and study. On the one hand, it has introduced many foreign research findings on stem education, such as curriculum practice, evaluation systems, teacher training, and so on; on the other hand, this paper investigates the localization implementation path of stem education based on the realities of kindergartens. This paper investigates the development and implementation path of kindergarten stem education activities using data mining, analyzes how the kindergarten stem education monitoring index system is developed and further improved using data mining algorithm, and determines the function path and mode of data mining algorithm in kindergarten stem education. It is expected to be used as a reference in the development and implementation of stem education and teaching activities. The development and implementation path of kindergarten stem educational activities based on data mining algorithm using data technology to realize continuous audit can not only improve the audit means and scope but also provide new research ideas for the expansion and innovation of audit work, which is useful in building a path model of kindergarten stem educational activities development and implementation.

MeSH terms

  • Child, Preschool
  • China
  • Curriculum*
  • Data Mining
  • Humans
  • Schools*