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"
}
Discussion Tracker: Supporting Teacher Learning about Students’ Collaborative Argumentation in High School Classrooms · COLING 2020