Kelly Rivers

Kelly is a nth-year PhD student in the Human Computer Interaction Institute at Carnegie Mellon University, working with Ken Koedinger. She's interested in data-driven tutoring, computer science education research, and teaching. She's currently studying the effects of automatically-generated hints in practice programming problems on student learning. An example of how these hints work is included in the following video:

Kelly is also a fellow of the PIER Program in Interdisciplinary Education Research in the 2011 cohort, and used to work as a frontend developer on Autolab.

You can download her CV here.