Abstract The data-driven study and optimization of learning processes has become possible through collecting the digital traces left by learners as they interact with digital study materials and learning tools — a field known as Learning Analytics (LA). The increased availability of such data has fueled the growth of the LA field, enabling the development of new frameworks and models, and supporting the transfer of findings across domains, and collaboration on joint educational initiatives.
