"双减"政策落地与新的教育不公平——基于6省30个县(市、区)的调查
The Implementation of the"Double Reduction"Policy and the New Educational Inequity—Based on the Survey of 30 Counties(Cities,Districts)in 6 Provinces
付卫东 1郭三伟2
作者信息
- 1. 华中师范大学,湖北 武汉 430079
- 2. 南京师范大学,江苏 南京 210097
- 折叠
摘要
"双减"政策落地旨在促进教育公平,但是却引发了一些新的教育不公平问题:学科类校外培训隐形变异问题或将进一步拉大学生学业成就差距,课后服务质量差距或将进一步扩大城乡教育差距,教学质量差距或将进一步加剧校际差距.究其原因主要在于:多重因素交叠作用催生学科类校外培训隐形变异问题;已有的教育差距是造成课后服务质量差距和教学质量差距扩大的重要致因;"双减"政策执行偏差进一步加剧课后服务质量差距和教学质量差距.为此提出坚持供给侧与需求侧双向治理,深入破解学科类校外培训隐形变异难题;大力推进义务教育优质均衡发展,缩小城乡、校际教育差距;优化"双减"政策执行,缩小课后服务质量和教学质量差距.
Abstract
The implementation of the"double reduction"policy aims to promote educational eq-uity,but it has caused some new educational inequity problems:the hidden variation of disciplinary off-campus training may further widen the gap in students'academic achievement;the gap in after-school service quality may further widen the gap in urban and rural education;and the gap in teach-ing quality may further exacerbate the gap between schools.The main reasons are as follows:the overlapping effects of multiple factors give rise to the invisible variation of off-campus training;the current education gap is an important cause of the widening gap of after-school service and teaching quality;the deviation in the implementation of the"double reduction"policy further aggravates the gap in after-school service and teaching quality.To this end,it is proposed that we adhere to the supply side and demand side two-way governance,in-depth crack the subject class off-campus training hi-dden variation problems.We will vigorously promote the high-quality and balanced development of compulsory education,and strive to narrow the education gap between urban and rural areas and be-tween schools.We will optimize the implementation of the"double reduction"policy and strive to narrow the gap in after-school services and teaching quality.
关键词
"双减"政策/教育不公平/义务教育/教育差距/教育公平Key words
"double reduction"policy/educational inequity/compulsory education/educational gap/educational equity引用本文复制引用
出版年
2024
NETL
NSTL
万方数据