MOOC has developed rapidly and exerted a great influence in recent years, and thousands of learners have been attracted to join the platform. The vision of MOOC is providing quality learning resources for more learners to achieve open and massive learning mode. Through the interaction between human body and knowledge body, the MOOC platform can contribute to knowledge sharing and knowledge flowing, which improves the effect of learning. This paper studies the knowledge flow in MOOC platform based on the perspective of super network, and defines or describes the concepts and formulas of several parameters such as super node degree, super edge degree and centrality. We use the representative forum data of one course named "Information Retrieval", which collected from the Chinese university MOOC platform, and analyze the knowledge flow in terms of super network, employing super degree as well as centrality parameters. Finally, we find that there exists a problem in MOOC platform, which is that the participation rate in forum part is low and the knowledge flow is not satisfactory, so we make several suggestions for this problem.%近几年,MOOC的发展如火如荼,其迅速兴起和巨大的影响力吸引了众多学习者的加入.MOOC平台的理念正是为更多人提供优质的学习资源,实现开放性、大规模式的学习,通过人主体和知识主体间的相互交流、知识共享,实现知识的传递与流动,从而提高学习的效果. 文章基于超网络视角研究了MOOC平台上的知识流动,定义了超网络中超点度、超边度等参数的概念和计算公式,描述了超网络的中心性参数及其含义,并利用中国大学MOOC平台上《信息检索》课程讨论区的数据,选择具有代表性的讨论主题和学习者,结合超度和中心性指标分析了MOOC平台的知识流动. 最后,针对MOOC平台讨论区参与度不强、知识流动效果不好的问题提出若干建议.
展开▼
