Learning analytics and educational data mining tools, the focus of Chapter 5, enable the tracking, monitoring and real-time prediction of student activities, behaviours and sentiments within the pedagogic apparatus of the classroom. Focusing on the emerging field of ‘educational data science’, the chapter will detail the different forms that educational data mining and analytics now take – from administrative and academic analytics at the institutional level to granular, individualized learning analytics that offer feedback within the physical classroom itself.