摘要
互动分析是探究协作学习规律和把握协作学习过程变化的核心。通过七周的实验和运用SNA软件、Ucinet及SPSS进行数据处理与研究发现,整个社会网络的连接数、密度、互惠性、平均度、聚类系数等都有不同程度的提高;小组内高度互动,小组间互动较少;小组密度与小组绩效的相关性极为显著,凝聚子群密度在一定程度上可考察团体的互动情况,辅助判定协作学习是否有效发生;中心度能反映成员及小组的活跃程度,但和学习绩效没有直接关系。
Interaction analysis is the core of exploring learning rules and grasping the changing process of collaborative learning. After an 7-week experiment, the results showed that the entire social network connections, density, reciprocity, distance, clustering coefficient are improved at different levels by means of data processed by SNA software Ucinet and SPSS. The study also found a high degree of interaction within the group, but a low degree of inter-group interaction. Besides, group density is extremely positively related to team performance, and E-I index of cohesive subgroups can reflect interaction degree to a certain extent, esti-mating whether learning is effective. Last but not least, centrality can reflect the activity level of members and subgroups, but it is not useful for learning performance.
出处
《远程教育杂志》
CSSCI
2015年第1期80-86,共7页
Journal of Distance Education
基金
2011年浙江省教育技术研究规划重点课题"基于开放型项目的协作学习研究"(项目编号:JA008)
2011年度教育部人文社会科学研究规划基金项目"工程教育环境下开放型实践教学的研究"(项目编号:11YJA880003)
2013年浙江省自然科学基金项目"开放型项目教学背景下应用性人才培养的管理机制研究"(项目编号:LY13g030035)研究成果
关键词
CPBL
协作学习
社会网络分析
互动网络
互动分析
CPBL
Collaborative learning
Collaborative project-based learning
Social network analysis
Interaction network
Inter-action analysis