Icon for: Cynthia D'Angelo


SRI International

Speech-Based Learning Analytics for Collaboration

NSF Awards: 1432606

2017 (see original presentation & discussion)

Grades 6-8

This project is focused on exploring the feasibility of using students' spontaneous speech in small groups to determine how well they are collaborating on mathematics problems. We would like to provide teachers with additional information about their students so that they can make timely and informed instructional decisions. 

Data were collected in both lab settings and in real classroom settings with high quality microphones. Researchers hand-annotated the datasets (over 300 students in groups of three) for individual indicators of collaborative actions and overall group-level quality of collaboration. We then used machine learning techniques to determine whether the speech data itself would be enough information to predict group collaboration quality.

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