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Advancing Multimodal Analytics to Capture Classroom-Based Activities

Thu, April 9, 2:15 to 3:45pm PDT (2:15 to 3:45pm PDT), Westin Bonaventure, Floor: Lobby Level, Santa Barbara C

Session Type: Symposium

Abstract

Multimodal analysis of teachers’ instructional practices and students’ collaborative learning offer new opportunities to provide feedback to teachers and help them improve their practices. Recent technological advances in machine perception (i.e., machine learning and its applications to computer vision, speech recognition, natural language processing, etc.) provide novel directions for these efforts. This symposium focuses on research designed to advance machine perception in recognizing activities in classroom audiovisual data and text data and making judgments about instruction and the learning environment. The included papers span elementary and secondary classrooms, different content areas, and multiple national contexts to consider ways that machine perception can make the process of analyzing audiovisual and text data more meaningful and timely.

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