Understanding the dynamics of MOOC discussion forums with simulation investigation for empirical network analysis (SIENA) |
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| Authors: | Jingjing Zhang Maxim Skryabin Xiongwei Song |
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| Institution: | 1. Big Data Centre for Technology-Mediated Education and Research Centre of Distance Education, Beijing Normal University, Beijing, Chinajingjing.zhang@bnu.edu.cn;3. ITMO University, Saint Petersburg, Russia;4. Department of Political Science, Chinese Academy of Governance, Beijing, China |
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| Abstract: | This study attempts to make inferences about the mechanisms that drive network change over time. It adopts simulation investigation for empirical network analysis to examine the patterns and evolution of relationships formed in the context of a massive open online course (MOOC) discussion forum. Four network effects—homophily, reciprocity, transitivity, and preferential attachment—were tested to explain the dynamic mechanisms of interaction in the MOOC forum. Understanding the network dynamics of relationships will allow us to explore how to develop a robust peer-supported learning environment and in turn improve the online learning experience in MOOCs. |
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| Keywords: | MOOC network dynamics simulation investigation for empirical network analysis (SIENA) social learning analytics |
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