The increasing use of online software and digital devices in classrooms presents an opportunity to collect high-frequency data for mining. Today’s analytics techniques could be used to develop a deeper understanding of how students learn, recommend personalized learning plans, and identify early warning flags. Rich data, analytics, and feedback enable a process of iteration and continuous improvement, where educators become learners, and we figure out how to improve education. We are at the beginning of a wave of data-driven change in education, with important social consequences and fantastic opportunities.