He earned his PhD in Computer Science at Worcester Polytechnic Institute in the Tutor Research Group in 2012. Funded by a National Science Foundation Fellowship (GK-12) he spent extensive time on the front lines of K-12 education working with teachers and students to integrate educational technology into the curriculum as an assessment tool to be used formatively. He has received numerous academic awards and honors for extensions of his thesis work on “Predictive Models of Learning” including a top prize applying his educational analytics in the 2010 KDD Cup, an international machine learning competition on predicting student performance within an intelligent tutoring system. Pardos comes to Berkeley from MIT, where he spent the past year studying massively open online courses.