Predicting Specificity in Classroom Discussion
September 03, 2019 ยท Declared Dead ยท ๐ BEA@EMNLP
"No code URL or promise found in abstract"
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Authors
Luca Lugini, Diane Litman
arXiv ID
1909.01462
Category
cs.CL: Computation & Language
Citations
20
Venue
BEA@EMNLP
Last Checked
4 months ago
Abstract
High quality classroom discussion is important to student development, enhancing abilities to express claims, reason about other students' claims, and retain information for longer periods of time. Previous small-scale studies have shown that one indicator of classroom discussion quality is specificity. In this paper we tackle the problem of predicting specificity for classroom discussions. We propose several methods and feature sets capable of outperforming the state of the art in specificity prediction. Additionally, we provide a set of meaningful, interpretable features that can be used to analyze classroom discussions at a pedagogical level.
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