The Impact of the Double Reduction Policy on the Educational Anxiety of Parents Under Big Data
Huiyun Yang
University of Glasgow
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
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.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
社会科学Global Educational Reforms and Inequalities
Psychosocial Factors Impacting Youth · Educational Reforms and Innovations
参考文献 29
此处列出前 3 条
引用本文 3
按被引量排序,此处列出前 3 条