Selfies for science: Collaborative configurations around sciencekit

Elizabeth Bonsignore, June Ahn, Tamara Clegg, Jason C. Yip, Daniel Pauw, Michael Gubbels, Becky Lewittes, Emily Rhodes

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

Abstract

In this paper, we detail our initial analyses of the ways in which youth engage in collaborative learning using ScienceKit, a mobile, social media application designed to support scientific inquiry in informal learning contexts. We focus on the ways in which ScienceKit orients small groups in different configurations of collaborative work, as they engage in informal learning activities.

Original languageEnglish (US)
Title of host publicationCSCW 2014 - Companion Publication of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Pages133-136
Number of pages4
ISBN (Print)9781450325417
DOIs
StatePublished - 2014
Event17th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2014 - Baltimore, MD, United States
Duration: Feb 15 2014Feb 19 2014

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Other

Other17th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2014
CountryUnited States
CityBaltimore, MD
Period2/15/142/19/14

Keywords

  • Collaborative learning
  • Informal learning
  • Mobile learning
  • Scientific inquiry
  • Social media

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

Cite this

Bonsignore, E., Ahn, J., Clegg, T., Yip, J. C., Pauw, D., Gubbels, M., Lewittes, B., & Rhodes, E. (2014). Selfies for science: Collaborative configurations around sciencekit. In CSCW 2014 - Companion Publication of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 133-136). (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW). Association for Computing Machinery. https://doi.org/10.1145/2556420.2556482