Self-regulated learning (SRL) can predict academic performance. Yet, it is difficult for
learners. The ability to self-regulate learning becomes even more important in emerging …

We present a systematic literature review of data-driven self-regulated learning (SRL) that
emphasises the methodological importance of temporality and sequence, as opposed to …

Learning analytics (LA) as a research field has grown rapidly over the last decade. However,
adoption of LA is mostly found to be small in scale and isolated at the instructor level. This …

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 …

Predictive modelling of academic success and retention has been a key research theme in
Learning Analytics. While the initial work on predictive modelling was focused on the …

Digital learning technologies offer many opportunities to personalize instruction and
learning in K-12 and higher education. In the last ten years, a growing body of research …

La clase o aula invertida es una estrategia que comenzó a utilizarse en el nivel superior
como una medida para mejorar el desempeño y la motivación de los alumnos. Como una …

Retention and dropout of higher education students is a subject that must be analysed
carefully. Learning analytics can be used to help prevent failure cases. The purpose of this …

This paper aims to explore time management strategies followed by students in a flipped
classroom through the analysis of trace data. Specifically, an exploratory study was …

In higher education, predictive analytics can provide actionable insights to diverse
stakeholders such as administrators, instructors, and students. Separate feature sets are …