This project seeks to create actionable datasets in a number of areas, including building models of student behavior to diagnose student challenges (interventions), designing personalized learning trajectories that meets diverse student needs, developing new models for effective instruction and fair assessment, and creating effective interfaces that students, faculty, and advisors can use. The University of Michigan seeks to do so by examining personalized learning (meeting student needs/goals), learning at scale (informal learning communities), and gameful learning (engagement, motivations). Their work includes the development of early warning systems, tailored communication, and a more autonomous pathway through a learning management system.


April 2016 – This is a new project with discussion with California Community Colleges about utilization of student dashboards for intervention.