During the past years scholars have shown an increasing interest in supporting students'
self-regulated learning (SRL). Learning analytics (LA) can be applied in various ways to …

Technologies and teaching practices can provide a rich log data, which enables learning
analytics (LA) to bring new insights into the learning process for ultimately enhancing …

Abstract In the Massive Online Open Course (MOOC) forum, learning engagement
encompasses three fundamental dimensions—cognitive, emotional, and behavioral …

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 …

Learning analytics uses large amounts of data about learner interactions in digital learning
environments to understand and enhance learning. Although measurement is a central …

Research has repeatedly demonstrated that students with effective learning strategies are
more likely to have better academic achievement. Existing research has mostly focused on a …

Student engagement has a trajectory (a timeline) that unfolds over time and can be shaped
by different factors including learners' motivation, school conditions, and the nature of …

Although video-based flipped learning is a widely accepted pedagogical strategy, few
attempts have been made to explore the design and integration of pre-class instructional …

Existing predictive learning analytics models have exclusively relied on aggregate data
which not only have obfuscated individual differences but also made replicability and …

A central assumption of the scientific method is that inferences derived from group-level
analysis align with and generalize to the individual level. This study was conducted to put …