Modeling the contributions of individuals to collaborative problem solving using epistemic network analysis

Zachari Swiecki, David Williamson Shaffer

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review


Using data from team training simulations, I will use Epistemic Network Analysis to model collaborative problem solving while accounting for time-dependent relationships between the contributions of an individual and the contributions of their team. I will conduct a qualitative analysis of the data, comparisons between models that either ignore or account for team contributions, and a simulation study that investigates the conditions under which team contributions significantly impact the individual level of analysis. This work will test a measurement approach that is potentially more valid than extant approaches and provide tools for determining whether the interaction between team and individual will meaningfully impact models.

Original languageEnglish
Title of host publication13th International Conference on Computer Supported Collaborative Learning
Subtitle of host publicationConference Proceedings
EditorsKristine Lund, Gerald P. Niccolai, Elise Lavoue, Cindy Hmelo-Silver, Gahgene Gweon, Michael Baker
Place of PublicationLyon France
PublisherInternational Society of the Learning Sciences (ISLS)
Number of pages2
ISBN (Electronic)9781732467248
Publication statusPublished - 2019
Externally publishedYes
EventComputer Supported Collaborative Learning 2019 - Lyon, France
Duration: 17 Jun 201921 Jun 2019
Conference number: 13th (Proceedings)

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
Publisher International Society of the Learning Sciences, Inc.
ISSN (Electronic)1573-4552


ConferenceComputer Supported Collaborative Learning 2019
Abbreviated titleCSCL 2019
Internet address

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