There is a paucity of longitudinal studies in online learning across courses or throughout
programs. Our study intends to add to this emerging body of research by analyzing the …

Modeling a longitudinal process brings a lot of variability over time. The modeling procedure
becomes even harder when we use multivariate continuous variables to model a single …

In the last decade, great strides have been made to increase access to education and
enrollment rates at all levels (primary, secondary, and higher education). Actions such as …

Engagement can be understood as a complex dynamic system that unfolds over time and
interacts within the student, school, and environment. Most of the research on the dynamics …

Early research on online PBL explored student satisfaction, effectiveness, and design. The
temporal aspect of online PBL has rarely been addressed. Thus, a gap exists in our …

The pace of our knowledge on online engagement has not been at par with our need to
understand the temporal dynamics of online engagement, the transitions between …

Learning analytics involves the combination of different types of data such as behavioral
data, contextual data, performance data, and self-reported data to gain a comprehensive …

Patterns exist everywhere in our life, from the sequence of genes to the order of steps in
cooking recipes. Discovering patterns, variations, regularities, or irregularities is at the heart …

Learning involves relations, interactions and connections between learners, teachers and
the world at large. Such interactions are essentially temporal and unfold in time. Yet …

Learning strategies are important catalysts of students' learning. Research has shown that
students with effective learning strategies are more likely to have better academic …