Chris Piech is an Assistant Professor of Computer Science Education at Stanford University. His research is in machine learning looking to understand human learning. He also believes that in 2019 there is a unique opportunity to build better learning experiences that serve more students. Chris is teaching CS398 which is a research-level course that explores ways to leverage; modern AI, online platforms and large datasets to address challenges in education. His PhD advisors are Leo Guibas and Mehran Sahami.

In this talk, Chris examines how understanding open-ended work is one of the grand challenges of education and how the first impact of this work will be to augment teachers and give feedback on process. Chris also looks at…

1. AI understanding open-ended work is one of the grand challenges of education.
2. We are at the point where we can recreate the human task of grading open ended assignments up to the complexity of intro programming.
3. The first impact of this work will be to augment teachers and give feedback on process.