Carnegie Mellon University

Nick Diana

Nick Diana

Human-Computer Interaction Institute

Advisors: John Stamper, Ken Koedinger
Ph.D. Dept Entry: 2015
PIER Entry: 2016

My research combines educational data and machine learning to detect skills and patterns of behavior that are typically difficult to measure. Currently, I am working with data from a 3D programming environment to identify when students are learning concepts like abstraction, conditional logic, and debugging.