2013 Intl Year of Statistics Event: Learning Analytics - Using Data to Inform Teaching and Personalize Learning
4448 East Hall
530 Church Street
Ann Arbor, MI 48109-1043
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.
An International Year of Statistics Event
Professor Timothy McKay, University of Michigan