A network model of distributed and centralized systems of students

Nadia Kellam, David Gattie, Caner Kazanci

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

2 Scopus citations

Abstract

The body of knowledge in active and cooperative learning lacks an analytical model to determine the emergent patterns of distributed (active, student centered) and centralized (traditional, teacher centered) networks of students. To address the complexity of learning systems a network modeling approach based on Social Network Analysis and Ecological Network Analysis is proposed as an appropriate scientific construct for developing analytical techniques for studying and understanding learning systems. Models were developed, designed, and interpreted for two configurations, one with four actors and another with 16 actors. A preliminary analysis was performed on a 12 actor model to determine the optimal cluster size to maximize indirect effects within the system. In the future, network models can be utilized to further understand learning systems through network properties that are not directly observable. It is the aim of the authors to provide an additional lens to view, assess, and optimize student learning.

Original languageEnglish (US)
Title of host publication37th ASEE/IEEE Frontiers in Education Conference, FIE
PagesF4G3-F4G8
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event37th ASEE/IEEE Frontiers in Education Conference, FIE - Milwaukee, WI, United States
Duration: Oct 10 2007Oct 13 2007

Publication series

NameProceedings - Frontiers in Education Conference, FIE
ISSN (Print)1539-4565

Other

Other37th ASEE/IEEE Frontiers in Education Conference, FIE
CountryUnited States
CityMilwaukee, WI
Period10/10/0710/13/07

Keywords

  • Active learning
  • Distributed cognition
  • Ecological network analysis
  • Social network analysis

ASJC Scopus subject areas

  • Software
  • Education
  • Computer Science Applications

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