Impact of information literacy, self-directed learning skills, and academic emotions on high school students’ online learning engagement: A structural equation modeling analysis

心理学 结构方程建模 调解 教育技术 数学教育 学生参与度 自我效能感 协作学习 社会心理学 计算机科学 社会学 社会科学 机器学习
作者
Huan Li,Sha Zhu,Di Wu,Harrison Hao Yang,Qing Guo
出处
期刊:Education and Information Technologies [Springer Nature]
卷期号:28 (10): 13485-13504 被引量:36
标识
DOI:10.1007/s10639-023-11760-2
摘要

The adoption of online learning for adolescent students accelerated with the outbreak of the COVID-19 pandemic. However, few studies have investigated the mechanisms influencing adolescent students' online learning engagement systematically and comprehensively. This study applied the Presage-Process-Product (3P) model of learning to investigate the direct effects of presage factors (i.e., information literacy and self-directed learning skills) and process factors (i.e., academic emotions) on high school students' online learning engagement; and the mediating role of process factors. Data from 1993 high school students in China (49.3% males and 50.7% females) were analyzed using structural equation modeling. The result showed that students' information literacy, self-directed learning skills, and positive academic emotions positively predicted their online learning engagement. Moreover, the positive impact of self-directed learning skills on students' online learning engagement was significantly and largely enhanced through the mediation effects of positive academic emotions (β = 0.606, 95% CI = [0.544, 0.674]). Based on these results, to enhance adolescent students' online learning engagement, it is important for school administrators, teachers, and parents to improve students' information literacy, self-directed learning skills, and positive academic emotions.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Owen应助科研通管家采纳,获得10
刚刚
勤劳冰安应助科研通管家采纳,获得10
1秒前
叁零完成签到,获得积分10
1秒前
科研通AI6应助科研通管家采纳,获得30
1秒前
科研通AI6应助科研通管家采纳,获得30
1秒前
CipherSage应助科研通管家采纳,获得10
1秒前
研友_VZG7GZ应助科研通管家采纳,获得10
1秒前
情怀应助科研通管家采纳,获得10
1秒前
JamesPei应助科研通管家采纳,获得10
1秒前
吕洺旭应助科研通管家采纳,获得10
1秒前
桐桐应助科研通管家采纳,获得10
1秒前
1秒前
吕洺旭应助科研通管家采纳,获得10
1秒前
1秒前
科研通AI6应助科研通管家采纳,获得10
1秒前
1秒前
华仔应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
2秒前
KK完成签到,获得积分10
3秒前
霸气的玉兰完成签到 ,获得积分10
3秒前
maoaq完成签到 ,获得积分10
5秒前
CodeCraft应助yiliu采纳,获得10
5秒前
5秒前
延娜完成签到,获得积分10
6秒前
Stella完成签到,获得积分10
7秒前
7秒前
科研小白完成签到 ,获得积分10
8秒前
冬藏发布了新的文献求助10
8秒前
Xsterm完成签到,获得积分10
9秒前
聪明蛋子发布了新的文献求助10
9秒前
衣裳薄完成签到,获得积分10
10秒前
脑洞疼应助水123采纳,获得10
10秒前
蓝色的纪念完成签到,获得积分10
13秒前
14秒前
Weilang发布了新的文献求助30
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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
人脑智能与人工智能 1000
King Tyrant 720
Silicon in Organic, Organometallic, and Polymer Chemistry 500
Peptide Synthesis_Methods and Protocols 400
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5603909
求助须知:如何正确求助?哪些是违规求助? 4688768
关于积分的说明 14856065
捐赠科研通 4695384
什么是DOI,文献DOI怎么找? 2541023
邀请新用户注册赠送积分活动 1507167
关于科研通互助平台的介绍 1471832