In the last decades, the power of data and analytics has transformed instruction in education. Increasingly, large-scale data is available on student learning and interaction online. Much of this data represents student behavior, allowing researchers to model and track many elements of student learning that were not previously feasible at scale: engagement, affect, collaborative skill, and robust learning. In turn, these models can be used in prediction of long-term student outcomes, and to analyze the factors driving long-term success of students.
All of my research is using aggregated data from the Open edX Platform.
