联通主义学习中社会交互与话题交互的网络化特征

The Network Characteristics of Social Interaction and Topic Interaction in Connectivisim-Based learning

在互联网推动教育变革的进程中,相关的实践和理论都需进行新的尝试和探索。作为“互联网+”时代的重要学习理论,联通主义的教学实践和研究在我国尚处于起步阶段,亟需相关工作推进理论和实践的发展。本研究以“互联网+教育:理论与实践的对话Ⅱ”这门cMOOC课程的主题一为例,运用网络分析方法,对学习者社会交互和话题交互的网络化特征进行了剖析。研究发现,课程促进者的参与推动了交互网络中连接关系的建立,使得网络的初始值能对整个学习交互网络塑造产生非线性影响。在这一影响过程中,学习者的参与度与交互网络结构的紧密程度并非传统意义上的线性关系,而是网络交互结构越紧密(密度越大)就越会在之后带动更多的学习者参与讨论学习。这说明,联通主义指导下的学习,需要我们从动态的视角去观察学习者学习,学习者的交互与联通是在变化中展开的。在社会网络的连接中,草根学习者贡献的话题也通过连接形成了类似知识概念图的网状结构,这样的知识结构能够较好地表征由下而上的群体智慧(知识的草根性)。很多相似的概念在动态性生成过程中会慢慢地聚合,而非依据专家的经验来划分知识的体系。对cMOOC课程更长时间地观察与调研,可以更真实地发现知识演化的规律。

In the process of Internet promoting educational reform,relevant practice and theory need to make new attempts and explorations.As an important learning theory in the era of“Internet+”,the teaching practice and research of connectivism are still in the initial stage in China,so it is urgent for related work to promote the development of theory and practice.This study take this cMOOC course“Internet+Education:dialogue of the theory and practiceⅡ”as an example,using the network analysis method,respectively analyzes the learners’social interaction network and topic interaction network.It’s found that the participation of course promoters promotes the establishment of connection relations in the interactive network,and the initial value of the network can have a nonlinear impact on the shaping of the whole learning interactive network.In this process,learners’participation is not closely related to the interaction network structure in the traditional way,but the closer the network interaction structure is,the more learners will participate in discussion and learning.This shows that learning based on connectivism have to be observed from a dynamic perspective,and learners’interaction and connection are developed in the process of change.In the construction of social network,the topics contributed by grassroot learners also form a network structure similar to the knowledge concept map through connection,which can better represent the bottom-up wisdom of crowds.Many similar concepts will converge in the process of dynamic generation,instead of dividing the knowledge system by expert experience.A longer period of observation and investigation on cMOOC courses can more truly discover the law of knowledge evolution.