A Web-Based System for Visualizing and Analyzing Interaction Structure in Online Collaborative Learning

  • Authors:
  • Yonggu Wang;Feiyue Qiu

  • Affiliations:
  • College of Education Science and Technology, Zhejiang University of Technology, China;College of Education Science and Technology, Zhejiang University of Technology, China

  • Venue:
  • ICWL '009 Proceedings of the 8th International Conference on Advances in Web Based Learning
  • Year:
  • 2009

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Abstract

Social network analysis is one of effective methods and techniques to analyze the interactions in online collaborative learning. This paper introduces our researches in which a web-based system visualizing and analyzing interactions in online collaborative learning was developed. Firstly, the function model, user interface and ar0063hitecture of the system are presented. Then, Three key steps and technologies in the implementation of the system are described. Lastly, we presented the case study in which the system is used to analyze and visualize the structures of interaction network in the collaborative learning. The case study proved that the system can visualize the socio-gram of the interaction network in different view, and can calculate the structures' indexes of the interaction interwork.