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Investigating cognitive engagement patterns in online collaborative learning: a temporal learning analytic study

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成果类型:
期刊论文
作者:
Zhou, Jin;Ye, Jun-min
通讯作者:
Zhou, J
作者机构:
[Zhou, Jin; Zhou, J] Anhui Normal Univ, Sch Educ Sci, Wuhu, Peoples R China.
[Ye, Jun-min] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
通讯机构:
[Zhou, J ] A
Anhui Normal Univ, Sch Educ Sci, Wuhu, Peoples R China.
语种:
英文
关键词:
Online collaborative learning;cognitive engagement;sequential pattern mining;temporal network analysis
期刊:
Interactive Learning Environments
ISSN:
1049-4820
年:
2024
基金类别:
Anhui Normal University Summit Discipline Construction Program
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
Online collaborative learning (OCL) has become a common instructional strategy in higher education for developing students' skills in collaboration, problem-solving, and critical thinking. Cognitive engagement in OCL evolves dynamically, but we do not yet fully understand which patterns of cognitive engagement are conducive to OCL and when to promote them. This study used entropy analysis, sequential pattern mining, and temporal network analysis to examine the online discourse of 44 college students who participated in three OCL tasks. Results showed that, compared with the low-performance gro...

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