Cultivating tipping points: Network science in teaching

Catherine Cramer*, Ralucca Gera, Michaela Labriole, Hiroki Sayama, Lori Sheetz, Emma Towlson, Stephen Uzzo

*Corresponding author for this work

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

Abstract

Current education systems continue to be based predominantly on reduc-tionist mindsets in which teaching is conducted on a subject-by-subject and module-by-module basis. Improvement is planned and implemented using a linear, causal, independent-problem-to-solution approach, with very little consideration given to the interconnectedness among the various components and ideas involved in these complex knowledge systems. This situation presents a need to think about how understanding these connections can improve the learning of complex ideas. It also constitutes an opportunity to provide a multifaceted intervention for communities of learners, which would, itself, be a coordinated network of collaborative efforts to develop a network literate populace. In this paper, the authors describe addressing these issues through a multi-phase, multi-year approach to professional development with formal and informal educators; the outcomes of this work; and next steps.

Original languageEnglish
Title of host publicationSpringer Proceedings in Complexity
EditorsSean Cornelius, Kate Coronges, Bruno Goncalves, Roberta Sinatra, Alessandro Vespignani
PublisherSpringer Science and Business Media B.V.
Pages175-183
Number of pages9
ISBN (Print)9783319731971
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event9th International Conference on Complex Networks, CompleNet 2018 - Boston, United States
Duration: 2018 Mar 52018 Mar 8

Publication series

NameSpringer Proceedings in Complexity
Volume0
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692

Other

Other9th International Conference on Complex Networks, CompleNet 2018
Country/TerritoryUnited States
CityBoston
Period18/3/518/3/8

ASJC Scopus subject areas

  • Applied Mathematics
  • Modelling and Simulation
  • Computer Science Applications

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