Using the Gini coefficient to characterize the distribution of group problem-solving processes in collaborative tasks

Taylor Tucker, Saadeddine Shehab, Emma Mercier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Existing literature has outlined the processes necessary for problem solving of ill-structured tasks. These processes have been identified in groups’ verbal interactions in the context of collaborative engineering tasks. In this paper, we present analysis using the Gini coefficient as a group-level measure of the distribution of the four processes as characterized by groups’ verbal interactions. We use this coefficient to evaluate the design of two ill-structured tasks.

Original languageEnglish (US)
Title of host publication14th International Conference of the Learning Sciences
Subtitle of host publicationThe Interdisciplinarity of the Learning Sciences, ICLS 2020 - Conference Proceedings
EditorsMelissa Gresalfi, Ilana Seidel Horn
PublisherInternational Society of the Learning Sciences (ISLS)
Pages1761-1762
Number of pages2
ISBN (Electronic)9781732467279
StatePublished - 2020
Event14th International Conference of the Learning Sciences: The Interdisciplinarity of the Learning Sciences, ICLS 2020 - Nashville, United States
Duration: Jun 19 2020Jun 23 2020

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
Volume3
ISSN (Print)1573-4552

Conference

Conference14th International Conference of the Learning Sciences: The Interdisciplinarity of the Learning Sciences, ICLS 2020
CountryUnited States
CityNashville
Period6/19/206/23/20

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education

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