The Impact of the Double Reduction Policy on the Educational Anxiety of Parents Under Big Data

Huiyun Yang
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Abstract

In the context of the “double reduction” policy, using big data to carry out precision teaching is an effective way to improve the quality of teaching in schools and reduce the burden on teachers and students and increase efficiency. The formal implementation of the “double reduction” policy has not only reduced students' academic burden, but also increased students' spare time. However, according to relevant data, the current level of anxiety among parents about their children's education is still high, and different parents have different levels of education anxiety. In order to study the impact of the “double reduction” policy on the educational anxiety of parents of primary and secondary school students in the context of big data, this article puts forward some suggestions related to eliminating the educational anxiety of primary school parents based on the existing problems and their causes, so as to create a good educational atmosphere.
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大数据下双减政策对家长教育焦虑的影响
在 "双减 "政策背景下,利用大数据开展精准教学,是提高学校教学质量、减轻师生负担、提高教学效率的有效途径。"双减 "政策的正式实施,不仅减轻了学生的课业负担,还增加了学生的课余时间。然而,据相关数据显示,当前家长对子女教育的焦虑程度仍然较高,不同家长的教育焦虑程度不同。为了研究大数据背景下 "双减 "政策对中小学生家长教育焦虑的影响,本文根据目前存在的问题及其原因,提出了一些消除小学生家长教育焦虑的相关建议,以营造良好的教育氛围。
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来源期刊
International Journal of Sociotechnology and Knowledge Development
International Journal of Sociotechnology and Knowledge Development Decision Sciences-Information Systems and Management
CiteScore
4.20
自引率
0.00%
发文量
35
期刊最新文献
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