Research on the Influencing Factors and Support Degree of Kindergarten Parents for Public and Private Enrollment Policy——Taking Hangzhou as an Example

Shi-Jian Gao, Zhuofan Zhong, Zihan Wang, Siqi Ye, Wei-lin Xia
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Abstract

Today, people’s demand for quality education is growing, and parents place particular importance on the quality of education their children receive, and under the mechanism of early enrolment in private schools, there is a constant “private fever” and “training fever” in the society. In response to this, the Hangzhou government issued the Notice on Simultaneous Enrolment in Public and Private Primary Schools to ease the pressure on public schools. In this paper, we used Apriori algorithm to mine data based on questionnaire data and found that people who are more aware of the policy are generally freelancers, their children are in the first grade and their annual income is between RMB 100,000 and 200,000. We also investigated parents’ support for the policy, using basic family and child characteristics as independent variables and whether they support the policy as the dependent variable, and developed a dichotomous logistic Regression model to fit the probability of parents supporting the policy and made recommendations based on this.
幼儿园家长对公办和民办幼儿园招生政策的影响因素及支持程度研究——以杭州市为例
在人们对素质教育需求日益增长的今天,家长对孩子接受的教育质量尤为重视,在民办学校的早读机制下,社会上不断出现“民办热”和“培训热”。为此,杭州市政府发布了《关于公办小学和民办小学同时招生的通知》,以缓解公办学校的压力。在本文中,我们利用Apriori算法对问卷数据进行数据挖掘,发现对政策了解程度较高的人群一般为自由职业者,子女在读一年级,年收入在10 - 20万元之间。以家庭基本特征和子女基本特征为自变量,以是否支持政策为因变量,调查家长对政策的支持程度,建立二分类logistic回归模型拟合家长支持政策的概率,并据此提出建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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