2013 International Year of Statistics Lecture: Learning Analytics - Using Data to Inform Teaching and Personalize Learning

Timothy McKay, Professor of Physics

The activities of teaching and learning at the University of Michigan generate a stream of data which are increasingly rich and becoming more accessible. Learning analytics aims to explore this data, using it to better understand the student experience at Michigan, to quantify the impact of teaching reforms, and to provide personalized real-time student support. In this talk, I will describe some early results of learning analytics efforts at Michigan, including some work on predictive modeling of student performance, personalized electronic coaching in introductory statistics courses, and an effort to calculate a substitute for GPA which accounts for variations in grading patterns among courses.