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Methodological Innovations for the Automated Analysis of Classroom Discourse

Sat, April 18, 8:15 to 9:45am, Virtual Room

Session Type: Symposium

Abstract

Research identifying effective features of classroom discourse is at the cornerstone of educational research and practice, but is laborious and time intensive. Recent advances in recording technologies, audio/video analysis, and natural language processing might finally offer a respite to the perennial challenge of scaling the collection and analysis of classroom discourse. The success of such efforts will rely on collaborations between educational researchers and computer scientists. This session aims at highlighting four exemplary interdisciplinary collaborations featuring cutting-edge research on methodologies for automating the coding of evidence-based features of student and teacher talk. The central research question is: What features of student and teacher talk are good candidates for automated analysis and what methodological advances are needed to achieve this goal?

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