Analyzing Group Learning Behavior Based on Cellular Automata

摘要：

Simulating collective behaviors of human groups with interactions has essential importance in education,economics, psychology and other social science fields.In this paper, we gave a cellular automata based method to analyze group learning behavior. The paper analyzed the interaction relationship between individual behavior and group evolvement, and discussed how the evolvement of group is affected by qualified rate in initial condition, the interaction level and distribution of individuals in the sense of statistics.A large number of experiments are employed to show how some main factors effect the group evolvement and to draw related conclusions.

作者: Rui-Bin Zhao Ming-Yong Pang

作者单位: Department of Educational Technology,Nanjing Normal University,Nanjing 210097,China

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 327-331

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）