Creative collaboration and flow: Validating the use of trace data to measure dynamics of creative flow in collaborative design teams

Lorraine Kisselburgh, Ninger Zhou, Senthil Chandrasegaran, S. Karthik Badam, Niklas Elmqvist, Kylie Peppler, Karthik Ramani

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

We use sociometric trace data to create an index of dynamic group flow in collaborative design teams. Sixteen students in four teams worked on a collaborative engineering design task, while wearing sociometric devices to collect real-time data on team interaction. Results indicate that group flow as measured by dynamic trace data is partially correlated with self-reported flow. This finding implies the potential to use trace data to provide reliable and dynamic measures of task engagement during collaborative learning.

Original languageEnglish
Title of host publication11th International Conference on Computer Supported Collaborative Learning
Subtitle of host publicationExploring the Material Conditions of Learning
EditorsOskar Lindwall, Paivi Hakkinen, Timothy Koschmann, Pierre Tchounikine, Sten Ludvigsen
PublisherInternational Society of the Learning Sciences (ISLS)
Pages837-838
Number of pages2
ISBN (Electronic)9780990355076
Publication statusPublished - 2015
Externally publishedYes
Event11th International Conference on Computer Supported Collaborative Learning: Exploring the Material Conditions of Learning, CSCL 2015 - Gothenburg, Sweden
Duration: 7 Jun 201511 Jun 2015

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
Volume2
ISSN (Print)1573-4552

Conference

Conference11th International Conference on Computer Supported Collaborative Learning: Exploring the Material Conditions of Learning, CSCL 2015
CountrySweden
CityGothenburg
Period7/06/1511/06/15

Keywords

  • Creative collaboration
  • Engineering design
  • Group flow
  • Sociometrics

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