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.
Diane Litman
Professor of Computer Science, Senior Scientist the University of Pittsburgh’s Learning Research and Development Center
Diane Litman’s research focuses on enhancing the effectiveness of educational technology through Artificial Intelligence, particularly Natural Language Processing. Litman is the past Director of the Intelligent Systems Program at the University of Pittsburgh.
