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Automated Assessment of Classroom Discussion Quality

Web-Based app to advance learning science research

University of Pittsburgh’s Learning Research and Development Center

United States of America
Track:
Learning Science Research
Award Level:
Catalyst Award

Project Description

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.

Meet Our Team

Diane Litman

Professor of Computer Science, Senior Scientist the University of Pittsburgh’s Learning Research and Development Center

Lindsay Clare Matsumura

Senior Scientist, University of Pittsburgh’s Learning Research and Development Center

Richard Correnti

Research Scientist, University of Pittsburgh’s Learning Research and Development Center

The "Building an Adaptive and Competitive Workforce" track is accepting abstracts through Feb 26th. Learn more.