Analytical Research on Complex Systems Dynamics in Learning Spaces and Emergent Phenomena of Knowledge

在本研究中，我们将基于复杂网络科学的理论和数学框架引入学习科学。我们从理论上研究了学习空间中学习者之间的互动及其影响。作为我们的研究结果，我们发现（沟通）的影响，学习者之间的互动依赖于他们的网络拓扑结构。我们开发了一种社会资本的检测方法，也是在学习空间中形成的。最后提出了一种适合大数据时代学习分析的新型研究方法。

In this research, we introduced the theoretical and mathematical frameworks based on complex network sciences into Learning Sciences. We investigated theoretically interactions and their effects among learners in Learning Spaces. As the results of our study, we found that effects of (communication) interactions among learners depend on their network topology. We developed a detective method of social capital that is formed in learning spaces as well. Finally we proposed a new-type research approach in this area, that is appropriate to Learning Analytics in BIG DATA ERA.