Generative Grading: Neural Approximate Parsing for Automated Student Feedback
arXiv: Learning, 2019.
Open access to high-quality education is limited by the difficulty of providing student feedback. In this paper, we present Generative Grading with Neural Approximate Parsing (GG-NAP): a novel approach for providing feedback at scale that is capable of both accurately grading student work while also providing verifiability--a property w...More
PPT (Upload PPT)