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Predicting Specificity in Classroom Discussion

Luca Lugini,D. Litman

2017 · DOI: 10.18653/v1/W17-5006
20 Citations

TLDR

This paper proposes several methods and feature sets capable of outperforming the state of the art in specificity prediction for classroom discussions, and provides a set of meaningful, interpretable features that can be used to analyze classroom discussions at a pedagogical level.

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.