期刊
INTERACTIVE LEARNING ENVIRONMENTS
卷 -, 期 -, 页码 -出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/10494820.2022.2157839
关键词
Connectivist learning; cMOOC; social capital; interaction pattern; content production; social network analysis
资金
- National Natural Science Foundation of China (NSFC)
- [61977011]
Based on the analysis of a large-scale online dataset from a cMOOC, this study reveals the impact of different interaction patterns on learners' social capital accumulation and content production, and suggests that active interaction engagement can compensate for learners' initial disadvantage in social capital accumulation. Additionally, resource access, social interaction, and content release play different roles in the accumulation of social capital.
To inform the relationships among interaction patterns, social capital accumulation, and learning benefits, based on 29,056 log data from a cMOOC (Connectivist Massive Open Online Course) in China, this study examined the difference in social capital accumulation and content production among different interaction patterns using cluster analysis, lag sequence analysis, social network analysis, and the Kruskal-Wallis test. Five types of interaction patterns in connectivist learning were identified: creative connected participants, active connected participants, poorly engaged social participants, poorly engaged moderate participants, and resource investigating participants. The results demonstrated that participants' interaction patterns influence their social capital accumulation and content production and that positive interaction engagement would compensate for the disadvantage of participants' initial position in social capital accumulation. Furthermore, resource access, social interaction, and content release had different roles in the accumulation of social capital. The pattern with higher engagement in all three kinds of interaction activities was associated with better content production because learners accumulated more bonding capital and bridging capital, which would bring them more returns in content creation. This study highlights the connectivist learning mechanism and effectiveness from the social capital perspective and provides valuable insights into the design and support of connectivist learning.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据