Determinants of the digital outcome divide in E-learning between rural and urban students: Empirical evidence from the COVID-19 pandemic based on capital theory

数字鸿沟 结果(博弈论) 惯习 文化资本 社会资本 背景(考古学) 心理学 社会学 不平等 人力资本 社会心理学 信息和通信技术 经济增长 政治学 社会科学 经济 地理 微观经济学 数学分析 数学 考古 法学
作者
Ling Zhao,Cuicui Cao,Yuni Li,Yuan Li
出处
期刊:Computers in Human Behavior [Elsevier]
卷期号:130: 107177-107177 被引量:90
标识
DOI:10.1016/j.chb.2021.107177
摘要

Digital outcome divide, the inequality of the outcomes of exploiting and benefitting from the ICT access and usage, has been raised as a severe concern of the e-learning practices during the COVID-19 pandemic. This study drew on capital theory and related literature and conducted a survey of 492 Chinese middle school students to explore: (1) whether a digital outcome divide exists between rural and urban students under the e-learning condition during the COVID-19 pandemic; (2) if it does, how does students' every form of capital impact the digital outcome divide. Our results revealed several important findings. First, we confirmed the existence of the digital outcome divide between rural and urban students, as rural students reported lower levels of behavioral engagement in e-learning courses compared to their urban peers. Second, we found that differences exist between rural and urban students in habitus (i.e., intrinsic motivation) and forms of capital, including cultural (i.e., e-learning self-efficacy) and social capital (i.e., parental support and teacher support), which are the main causes of the digital outcome divide. Third, a Blinder-Oaxaca decomposition analysis further confirmed that those factors could explain the major parts of the digital outcome divide between urban and rural students and that e-learning self-efficacy, intrinsic motivation, and parental support were the most dominant factors contributing to the rural-urban digital outcome divide in the e-learning context. Our study provides several important theoretical and managerial implications for researchers and educators.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
liyuqi61148完成签到,获得积分10
1秒前
Ekko完成签到,获得积分10
1秒前
兴奋的听云完成签到,获得积分10
1秒前
乐乐应助Jerome采纳,获得10
1秒前
xiaoxiaoluo完成签到,获得积分10
1秒前
1秒前
蛋妞发布了新的文献求助10
2秒前
斯文的盼海完成签到 ,获得积分10
2秒前
2秒前
夏梓硕完成签到,获得积分10
4秒前
Fighter完成签到,获得积分10
4秒前
苻莞发布了新的文献求助10
4秒前
ss毒是完成签到,获得积分20
5秒前
Zayro完成签到,获得积分10
5秒前
霏雨霁月完成签到 ,获得积分10
6秒前
Fighter发布了新的文献求助10
7秒前
阔达碧琴完成签到,获得积分20
7秒前
王三歲完成签到,获得积分10
7秒前
7秒前
吨吨完成签到,获得积分10
7秒前
义气的书本完成签到,获得积分20
8秒前
ss毒是发布了新的文献求助10
8秒前
yourenpkma123完成签到,获得积分10
8秒前
8秒前
可耐的代梅完成签到,获得积分10
9秒前
yixin完成签到,获得积分10
9秒前
阔达碧琴发布了新的文献求助10
10秒前
10秒前
简单乐荷完成签到,获得积分10
10秒前
hanshuwen完成签到,获得积分10
10秒前
10秒前
MNing发布了新的文献求助10
12秒前
可爱的函函应助吕佳蔚采纳,获得10
12秒前
木木完成签到,获得积分10
13秒前
13秒前
Jerome发布了新的文献求助10
13秒前
孟昊如完成签到,获得积分10
13秒前
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6022078
求助须知:如何正确求助?哪些是违规求助? 7639624
关于积分的说明 16168103
捐赠科研通 5170100
什么是DOI,文献DOI怎么找? 2766707
邀请新用户注册赠送积分活动 1749852
关于科研通互助平台的介绍 1636783