Using the Gini Coefficient to Characterize the Distribution of Group Problem-Solving Processes in Collaborative Tasks

Taylor Tucker, Saadeddine Shehab, Emma Mary 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 publicationThe Interdisciplinarity of the Learning Sciences
Subtitle of host publication14th International Conference of the Learning Sciences (ICLS) 2020
EditorsM Gresalfi, I S Horn
PublisherInternational Society of the Learning Sciences (ISLS)
Pages1761-1762
DOIs
StatePublished - Jun 2020
EventInternational Conference of the Learning Sciences: The Interdisciplinarity of the Learning Sciences - Vanderbilt University, Nashville, United States
Duration: Jun 19 2020Jun 23 2020
Conference number: 14

Conference

ConferenceInternational Conference of the Learning Sciences
Abbreviated titleICLS 2020
CountryUnited States
CityNashville
Period6/19/206/23/20

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