混合式协作学习社群网络特征分析的指标界定及应用

 

彭绍东

 

(湖南师范大学教育科学学院,湖南长沙 410081

 

【摘要】研究混合式协作学习中存在的认知交互、教学交互、社会交互网络关系等,对于揭示其特征与规律具有重要作用。本文探讨了社群网络特征分析的问题、对象与过程,界定了主要分析指标的含义,总结了社会网络分析计算项目间的结构关系,并以异步认知交互社群网络的分析为例,介绍了数据采集、指标计算、结果分析、得出结论的方法应用过程。

【关键词】混合式协作学习;社群网络;特征分析;指标界定;应用案例

【中图分类号】G434

【文献标识码】A

【文章编号】1007-2179(2012)02-0092-07

【作者简介】彭绍东,博士,教授,硕士生导师,湖南师范大学教育科学学院,研究方向为教育技术原理、混合式协作学习、教学设计自动化(pengshd@163.com

 

Indicator Definition and Method Application of the Community

Network Characteristics Analysis in Blended Collaborative Learning

 

PENG Shaodong

 

(School of Education Science, Hunan Normal University, Changsha 410081, China)

 

Abstract: Research on cognitive interaction, teaching interaction and social interaction in Blended Collaborative Learning (BCL)  plays an important role in revealing the characteristics and laws of BCL. This paper discusses the problems, objects and processes of the community network characteristics analysis in BCL, defines the meaning of main analysis indicators, and summarizes the computing project structural relationships. This study also takes the analysis of asynchronous cognitive interaction network as an example to introduce the method application processes for data collection, indicator calculation, result analysis and reaching conclusions.

Key words: blended collaborative learning; community network; characteristics analysis; indicator definition; application case

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