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

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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.