Automating Analysis and Feedback to Improve Mathematics Teachers’ Classroom Discourse

Volume: 33, Issue: 01, Pages: 9721 - 9728
Published: Jul 17, 2019
Abstract
Our work builds on advances in deep learning for natural language processing to automatically analyze transcribed classroom discourse and reliably generate information about teachers’ uses of specific discursive strategies called ”talk moves.” Talk moves can be used by both teachers and learners to construct conversations in which students share their thinking, actively consider the ideas of others, and engage in sustained reasoning. Currently,...
Paper Details
Title
Automating Analysis and Feedback to Improve Mathematics Teachers’ Classroom Discourse
Published Date
Jul 17, 2019
Volume
33
Issue
01
Pages
9721 - 9728
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