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The Community Builder (CoBi): Helping Students to Develop Better Small Group Collaborative Learning Skills

Authors:

Thomas Breideband,

Chelsea Chandler,

Rachel Dickler,

William R. Penuel,

Jason G. Reitman,

John Weatherley,

Sidney D'MelloAuthors Info & Claims

CSCW '23 Companion: Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing

Pages 376 - 380

https://doi.org/10.1145/3584931.3607498

Published: 14 October 2023 Publication History

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Abstract

The use of Artificial Intelligence (AI) in K-12 education is showing considerable promise to enhance student learning, yet existing tools continue to situate AI tutoring firmly within the context of one-on-one instruction and personalized learning. As HCI, learning science, and team science researchers we envision AI to help students become better collaborators—a highly valued skill for their lives after school. In this demonstration we present “CoBi”—a multi-party AI partner that focuses on the relationship dimension of collaboration. CoBi helps students to co-negotiate classroom agreements along four dimensions: respect, equity, community, and thinking. CoBi then uses state-of-the-art speech and language technologies to look for and visualize evidence of these agreements as they occur during small group student talk. Through these feedback visualizations, students can hone collaboration skills, collaboratively reflect about and identify areas for improvement, and develop critical AI literacy skills.

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Cited By

Kumar HMusabirov IReza MShi JWang XWilliams JKuzminykh ALiut M(2024)Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and TrustProceedings of the ACM on Human-Computer Interaction10.1145/36870388:CSCW2(1-30)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687038
Mun JBuerger CLiang JGarland JSap M(2024)Counterspeakers’ Perspectives: Unveiling Barriers and AI Needs in the Fight against Online HateProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642025(1-22)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642025

Index Terms

The Community Builder (CoBi): Helping Students to Develop Better Small Group Collaborative Learning Skills
1. Applied computing
  1. Education
  2. Law, social and behavioral sciences
    1. Sociology
2. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Discourse, dialogue and pragmatics
      2. Speech recognition

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Information & Contributors

Information

Published In

cover image ACM Conferences

CSCW '23 Companion: Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing

October 2023

596 pages

ISBN:9798400701290

DOI:10.1145/3584931

Editors:
Casey Fiesler
University of Colorado Boulder, USA
,
Loren Terveen
University of Minnesota, USA
,
Morgan Ames
University of California, Berkeley, USA
,
Susan Fussell
Cornell University, USA
,
Eric Gilbert
University of Michigan, USA
,
Vera Liao
Microsoft Research Montreal, Canada
,
Xiaojuan Ma
Hong Kong University of Science and Technology, Hong Kong
,
Xinru Page
Brigham Young University, USA
,
Mark Rouncefield
Lancaster University, UK
,
Vivek Singh
Rutgers University, USA
,
Pamela Wisniewski
Vanderbilt University, USA

Copyright © 2023 Owner/Author.

This work is licensed under a Creative Commons Attribution-NonCommercial International 4.0 License.

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2023

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Refereed limited

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National Science Foundation

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CSCW '23

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SIGCHI

CSCW '23: Computer Supported Cooperative Work and Social Computing

October 14 - 18, 2023

MN, Minneapolis, USA

Acceptance Rates

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

Upcoming Conference

CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

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Cited By

Kumar HMusabirov IReza MShi JWang XWilliams JKuzminykh ALiut M(2024)Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and TrustProceedings of the ACM on Human-Computer Interaction10.1145/36870388:CSCW2(1-30)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687038
Mun JBuerger CLiang JGarland JSap M(2024)Counterspeakers’ Perspectives: Unveiling Barriers and AI Needs in the Fight against Online HateProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642025(1-22)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642025

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