COLING 2020system demonstrations10 citations
Discussion Tracker: Supporting Teacher Learning about Students’ Collaborative Argumentation in High School Classrooms
Luca Lugini, Christopher Olshefski, Ravneet Singh, Diane Litman, Amanda Godley
Abstract
Teaching collaborative argumentation is an advanced skill that many K-12 teachers struggle to develop. To address this, we have developed Discussion Tracker, a classroom discussion analytics system based on novel algorithms for classifying argument moves, specificity, and collaboration. Results from a classroom deployment indicate that teachers found the analytics useful, and that the underlying classifiers perform with moderate to substantial agreement with humans.
BibTeX
@inproceedings{lugini-etal-2020-discussion,
title = "Discussion Tracker: Supporting Teacher Learning about Students' Collaborative Argumentation in High School Classrooms",
author = "Lugini, Luca and
Olshefski, Christopher and
Singh, Ravneet and
Litman, Diane and
Godley, Amanda",
editor = "Ptaszynski, Michal and
Ziolko, Bartosz",
booktitle = "Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational Linguistics (ICCL)",
url = "https://aclanthology.org/2020.coling-demos.10/",
doi = "10.18653/v1/2020.coling-demos.10",
pages = "53--58"
}