cMOOC学习者知识流动特征与交互水平关系研究

The relationship between the knowledge flow characteristics and the interaction level of cMOOC learners

“互联网+教育”呈现出新的知识观,联通主义作为其本体论基础,认为知识是不断流动的,且知识流通是学习的目的。知识流动可以激发有效交互,而深层次交互也可以促进知识流动管道的形成。本研究基于我国第一门cMOOC——“互联网+教育:理论与实践的对话”,以cMOOC平台中学习者生成的文本作为数据来源,从广度、强度、速度和均度四个方面构建了知识流动表征模型,运用社会网络分析法和关键词提取技术,分别探究知识流动结构和知识流动内容对交互水平的解释力。本研究得到以下结论:知识流动广度和强度与交互水平呈显著正相关;知识流动速度与交互水平无显著相关;集中式发帖行为不利于达成良好的交互水平;寻径交互和意会交互的达成更取决于知识流动结构,而创生交互则更取决于知识流动内容。本研究通过对知识流动进行量化表征,论证了“管道”和“管道中的内容”与联通主义交互水平之间的关系,在低层次交互中“管道”更为重要,而在高层次交互中“管道中的内容”作用则更加显著。该论断为解释联通主义本体论价值提供了实证依据。

“Internet+Education”presents a new concept of knowledge.As its ontological basis,connectivism holds that knowledge is constantly flowing,and knowledge flow is the purpose of learning.Knowledge flow can stimulate effective interaction,and deep interaction can also promote the formation of knowledge flow pipeline.This study,taking the first cMOOC in China-“Internet+Education:Dialogue between Theory and Practice II”,constructs the knowledge flow model from four aspects,i.e.breadth,intensity,speed and uniformity,and uses learners’texts generated in the cMOOC platform as the data source.Social network analysis and keyword extraction technology are used to interpret the structure and content of knowledge flow on the level of interaction.The following conclusions are drawn in this study:(1)the breadth and intensity of knowledge flow are significantly positively correlated with the level of interaction;(2)there is no significant correlation between the speed of knowledge flow and the level of interaction;(3)centralized posting behavior is not conducive to achieving a good level of interaction;(4)the realization of way-finding interaction and sense-making interaction depends more on the structure of knowledge flow,while innovation interaction depends more on the content of knowledge flow.By quantifying the flow of knowledge,this study demonstrates the relationship between“pipeline”/“content in pipeline”and the interaction level of connectivism.In low-level interaction,“pipeline”is more important,while in high-level interaction,“content in pipeline”plays a more significant role.This conclusion provides an empirical basis for explaining the ontological value of connectivism.