Ripple Effects: Small-Scale Investigations into the Sustainability of Ocean Science Education Networks

  • Robert Chen
  • Catherine Cramer
  • Pam DiBona
  • Russel Faux
  • Stephen Uzzo
Part of the Studies in Computational Intelligence book series (SCI, volume 424)

Abstract

Education Networks are an important way for educational institutions to develop and share knowledge and resources. Yet, methods of evaluating what makes them successful have been elusive. Here, we present a network analysis of the New England Ocean Science Education Collaborative (NEOSEC), a successful ocean science literacy collaborative and an effort to reveal characteristics inherent to successful education networks. NEOSEC is a network comprised of more than 40 institutions, with a stated goal of advancing ocean literacy in the region. Analysis of the evolution of this network suggests that network analysis adds an important dimension to evaluating education networks, and that successful educational networks may exhibit network characteristics that could aid in understanding their functionality and sustainability. Preliminary results also indicate that as these networks increase in complexity they may exhibit characteristics of other kinds of complex networks.

Keywords

Network Analysis Ripple Effect Eigenvector Centrality Deviation Effect Size Education Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Robert Chen
    • 1
  • Catherine Cramer
    • 2
  • Pam DiBona
    • 3
  • Russel Faux
    • 4
  • Stephen Uzzo
    • 5
  1. 1.University of Massachusetts BostonBostonUSA
  2. 2.Centers for Ocean Science Education ExcellenceArlingtonUSA
  3. 3.New England AquariumBostonUSA
  4. 4.Davis Square AssociatesSomervilleUSA
  5. 5.New York Hall of ScienceNew YorkUSA

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