在线教育会扩大教育不平等吗?来自 COVID-19 大流行病的证据

IF 5.2 1区 经济学 Q1 ECONOMICS 中国经济评论 Pub Date : 2024-11-10 DOI:10.1016/j.chieco.2024.102304
Yue Sun , Can Tang , Zhong Zhao
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引用次数: 0

摘要

本文以 COVID-19 大流行开始时中国所有中小学停课为准自然实验,研究了在线教育对学生学业成绩的影响,以及家庭社会经济地位(SES)在 K-12 在线环境中的作用。我们采用差分法研究发现,在线学习对以往成绩优秀的学生的学习成绩有积极影响,而对成绩较差的学生则有消极影响。此外,运用差分法,我们发现高社会经济地位家庭的学生在远程学习后,其 GPA 相对于弱势学生提高了 0.464 分,即低社会经济地位学生和高社会经济地位学生的成绩差距扩大了 16.7%,而且这种效应在小学和在线教育持续时间较长的省份的学生中更为明显。机制分析表明,高社会经济地位家庭通过培养子女的学业控制力、提供信息和通信技术以及增加学习时间,帮助子女在在线教育中取得学业进步。
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Does online education magnify educational inequalities? Evidence from the COVID-19 pandemic
Taking the closure of all primary and secondary schools in China at the start of the COVID-19 pandemic as a quasi-natural experiment, this paper examines the impact of online education on student academic performance and the role of family socioeconomic status (SES) in the K-12 online environment. We employ a difference-in-differences approach and find that online learning has a positive effect on the performance of previous high-achieving students and a negative effect on low-achieving students. Further, employing the difference-in-difference-in-differences method, we find that students from high-SES families improve their GPA by 0.464 points after distance learning relative to disadvantaged students, i.e., the gap between low and high SES performance widens by 16.7 %, and this effect is more pronounced among students in primary schools and in provinces where online education lasts longer. The mechanism analysis shows that high-SES families help their children make academic progress in online education by developing their children's academic locus of control, providing access to information and communication technology, and increasing study time.
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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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