In recent years, there has been increasing interest in using the methods of educational data
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …

An emerging field of educational data mining (EDM) is building on and contributing to a wide
variety of disciplines through analysis of data coming from various educational technologies …

Learning Analytics Goes to School presents a framework for engaging in education research
and improving education practice through the use of newly available data sources and …

Growing interest in data and analytics in education, teaching, and learning raises the priority
for increased, high-quality research into the models, methods, technologies, and impact of …

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 …

Learning is a product of interaction. Depending on the epistemology underlying the learning
design, learners might interact with instructors and tutors, with content and/or with other …

Using data to understand learning and improve education has great promise. However, the
promise will not be achieved simply by AI and Machine Learning researchers developing …

The study of learning is grounded in theories and research. Since learning is complex and
not directly observable, it is often inferred by collecting and analysing data based on the …

This chapter describes three characteristics of Learning Analytics work that distinguish it
from prior educational research to give readers a concise overview of what makes learning …

Our article introduces the Journal of Educational Data Mining's Special Issue on Educational
Data Mining on Motivation, Metacognition, and Self-Regulated Learning. We outline general …