In this paper, I explored how teachers mix & match different types of learning activities using Network Analysis of 267 individual learning activities.
In this paper, I explore how learning designs of 42 courses were configured longitudinally using visualization & network analysis. Further investigation on student engagement on VLE of over 43,000 students using fixed effect model reveal significant relations between learning design and time spent on VLE.
In this work-in-progress, I advocate a shift from ‘static’ to ‘dynamic’ learning design by aligning with data generated from students during their learning process in virtual learning environment. We reveal the inconsistency in how teachers design their course, yet a consistent dropout pattern in the same module over different semesters.