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Utilizing clickstream data to reveal the time management of self-regulated learning in a higher education online learning environment

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成果类型:
期刊论文
作者:
Cao, Taihe;Zhang, Zhaoli;Chen, Wenli;Shu, Jiangbo
通讯作者:
Jiangbo Shu
作者机构:
[Cao, Taihe; Zhang, Zhaoli] Cent China Normal Univ, Natl Engn Res Ctr Learning, Wuhan, Peoples R China.
[Chen, Wenli] Nanyang Technol Univ, Natl Inst Educ, Singapore, Singapore.
[Shu, Jiangbo] Cent China Normal Univ, Natl Engn Lab Educ BIG DATA, Wuhan, Peoples R China.
通讯机构:
[Jiangbo Shu] N
National Engineering Laboratory for Educational BIG DATA, Central China Normal University, Wuhan, People’s Republic of China
语种:
英文
关键词:
Time management;self-regulated learning;clickstream data;online learning;academic performance;learning analytics
期刊:
Interactive Learning Environments
ISSN:
1049-4820
年:
2022
卷:
31
期:
10
页码:
6555-6572
基金类别:
This work was supported by the National Natural Science Foundation of China under Grant [62077020]; the Fund of China Scholarship Council under grant [202006770012]; and the Fundamental Research Funds for the Central Universities of China under grant [2020YBZZ009].
机构署名:
本校为第一机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Online learning with the characteristics of flexibility and autonomy has become a widespread and popular mode of higher education in which students need to engage in self-regulated learning (SRL) to achieve success. The purpose of this study is to utilize clickstream data to reveal the time management of SRL. This study adopts learning analytics to investigate the differences in time management (time investment and time use patterns) in a large-scale authentic online learning environment based on 8019 students’ clickstream data of over one ter...

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