Learning Analytics is a rapidly growing research field and commercial market, with potentially disruptive potential. While educational researchers have for many years used computational techniques toanalyse learner data, generate visualizations of learning dynamics, and build predictive models to test theories — for the first time, these techniques are becoming available to educators, learners and policy makers. Learning analytics promise is to transform educational research into a data-driven science, and educational institutions into organisations that make evidence-based decisions. However, critical debate is needed on the limits of computational modelling, the ethics of analytics, and the educational paradigms that learning analytics promote.
Publication year: 2012