Identifying regulation profiles during computer-supported collaborative learning and examining their relation with students' performance, motivation, and self-efficacy for learning

被引:35
作者
De Backer, Liesje [1 ]
Van Keer, Hilde [1 ]
De Smedt, Fien [1 ]
Merchie, Emmelien [1 ]
Valcke, Martin [1 ]
机构
[1] Univ Ghent, Ghent, Belgium
关键词
Shared regulation; Regulation profiles; Performance; Learner characteristics; Higher education; SOCIALLY SHARED REGULATION; METACOGNITIVE REGULATION; SEQUENTIAL PATTERNS; COLLEGE-STUDENTS; ACHIEVEMENT; CHALLENGES; QUALITY;
D O I
10.1016/j.compedu.2021.104421
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The present study unravels profiles of regulators, based on online measures of collaborative learners' adoption of individual-oriented and socially shared metacognitive regulation (SSMR) during asynchronous computer-supported collaborative learning (CSCL). Additionally, it investigates how the regulation profiles are related to students' conceptual understanding after CSCL and to their motivation and self-efficacy for learning. 196 university students participated in the study. Hierarchical and k-means cluster analysis are adopted to identify the regulation profiles, whereas ANCOVA and MANOVA are run to study how the regulation profiles are related to respectively students' performance and learner characteristics. The results revealed three regulation profiles, labelled as 'all-round-oriented and affirming regulator' (AOAR), 'social-oriented and elaborating regulator' (SOER), and 'individual-oriented and passive regulator"(IOPR). The regulation profiles differed significantly in their conceptual understanding, motivation for learning, and self-efficacy beliefs. The current results serve as a stepping stone for lecturers and researchers to design customized metacognitive scaffolds in CSCL-environments and to examine their effectiveness in future intervention studies, advancing both the emerging literature on SSMR and educational practice.
引用
收藏
页数:17
相关论文
共 58 条