College of Educational Science of Hunan Normal University, Changsha 410081, China.
Normal College of Hunan University of Arts and Sciences, Changde 41500, China.
Comput Intell Neurosci. 2022 Jan 25;2022:2700674. doi: 10.1155/2022/2700674. eCollection 2022.
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.
中国的幼儿教育一直关注和研究 STEM 教育。一方面,它引入了许多关于 STEM 教育的外国研究成果,如课程实践、评估系统、教师培训等;另一方面,本文基于幼儿园的实际情况,探讨了 STEM 教育的本土化实施路径。本文运用数据挖掘技术研究了幼儿园 STEM 教育活动的发展和实施路径,分析了如何利用数据挖掘算法开发和进一步完善幼儿园 STEM 教育监测指标体系,并确定了数据挖掘算法在幼儿园 STEM 教育中的功能路径和模式。期望为 STEM 教育和教学活动的发展和实施提供参考。基于数据挖掘算法的幼儿园 STEM 教育活动的开发和实施路径,利用数据技术实现持续审计,不仅可以提高审计手段和范围,还可以为审计工作的拓展和创新提供新的研究思路,有助于构建幼儿园 STEM 教育活动发展和实施的路径模型。