Research on the Dynamic Evolution Mechanism of Connectivism Learning Interaction
Connectivism learning is the process of continuously establishing connections and developing net-works through interaction,and networks hold a fundamental and critical position in connectivism learning.The current application of social network analysis methods has been slightly successful in revealing the patterns of static characteristics of social networks in connectivism learning,but few studies have explored the characteris-tics and mechanisms of network change from a dynamic,time-lapse perspective,while dynamic growth and evo-lution is one of the typical features of connectivism learning.Therefore,this study attempts to explore the dy-namic evolutionary characteristics of social networks in connectionism learning based on the interaction data of the first cMOOC in China,using the longitudinal probabilistic social network analysis method,to explore the dynamic evolutionary characteristics of social networks in connectionism learning in four aspects:homophily,re-ciprocity,transitivity,and preferential attachment,and to explain the dynamic mechanism of interaction in cMOOC.This study analyzes the generation and evolution process of connectivism social network from the in-novative perspective of dynamism,which will provide principled support for understanding the interaction tenden-cies and characteristics of connectivism learners,enhancing the online learning experience in cMOOCs.
cMOOCsocial networkSIENAdynamic evolutioninteraction features
NETL
NSTL
万方数据
