Automated Assessment of Classroom Discussion Quality will create a web-based application that uses natural language processing and machine learning methods to analyze classroom discussion quality at scale. Discussion quality measures will look at both teacher and student talk moves, will be fine-grained enough to test theory-driven hypotheses around the role of talk and learning, and will facilitate longitudinal studies to better understand trajectories of growth toward ambitious and equitable teaching practices.