With the increased emphasis on the benefits of self-regulated learning (SRL), it is important
to make use of the huge amounts of educational data generated from online learning …

This paper examines visions of 'learning'across humans and machines in a near-future of
intensive data analytics. Building upon the concept of 'learnification', practices of 'learning'in …

Wearable devices are an emerging technological tool in the field of learning analytics. With
the help of wearable technologies, an increasing number of scholars have a strong interest …

Learning dashboards are known to improve decision-making by visualizing learning
processes and hel** to track where learning processes evolve as expected and where …

Learning Pulse explores whether using a machine learning approach on multimodal data
such as heart rate, step count, weather condition and learning activity can be used to predict …

The assessment of learning during class activities mostly relies on standardized
questionnaires to evaluate the efficacy of the learning design elements. However …

Up to date, most of the research to measure Self-Regulated Learning in students has
primarily utilized self-report instruments. Recently, there has been a growing tendency …

Self-Regulated Learning addresses key students' competences for performance in higher
education, particularly in engineering disciplines. Assessing these competences helps …

A good amount of research has explored the use of wearables for educational or learning
purposes. We have now reached a point when much literature can be found on that topic …

This short paper presents the experiences of several Dutch projects in their application of
the xAPI standard and different design patterns including the deployment of Learning …