Examining Student Learning Engagement in Canvas to Support Personalized Learning

This research category full paper explores the dynamic associations between learning engagement and learning outcomes in an asynchronous computing course. Learning engagement acts as an essential mediator between learning contexts and learning outcomes, providing significant insights into instructional strategies and student success. In this study, we first conceptualized and quantified student learning engagement with a multifaceted framework from behavioral, academic, cognitive, and affective aspects. Then, we examined the temporal dynamics of students' learning engagement using the state space model, and further evaluated its associations with students' weekly learning outcomes. The analytical results of this research provided significant implications for supporting learning and teaching in a large-scale asynchronous computing course.