期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2022
卷号：17
期号：1
DOI：10.3991/ijet.v17i01.28715
语种：English
出版社：Kassel University Press
摘要：Hybrid learning, which integrates online teaching and offline teaching, can promote the autonomous learning ability, cooperative learning ability, and personalized development of students. Whether online learning or offline learning, the learning quality hinges on the good learning behaviors and learning participation. The existing studies have paid little attention to the learning behaviors in various dimensions. As a result, there is no scientific criterion for quantifying students’ cognitive participation. This paper explores learning behaviors and cognitive participation in online-offline hybrid learning environment. Firstly, the authors provided the clustering algorithm and dimensionality reduction algorithm for learning behavior analysis under the hybrid learning environment. Then, the student cognitive participation was modeled, and the dynamic cognitive participation degree in each learning dimension was weighted through partial correlation analysis. The proposed model was proved effective through experiments.
