Tipping Point of Teaching Interaction in Online Learning Community
Huaibo Wang, Yimeng Wu, Jihong Li
Capital Normal University Beijing Open University
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摘要与影响
Teaching is a complex job, and the interaction between teachers and students also has complex characteristics. This study explored the latent characteristics and evolution patterns of teaching interaction in cMOOC, a Chinese online learning community course designed based on Connectionism. Based on the eigen microstate method from complex system phase transition theory, we found that the top four eigen microstates (EMs) are highly correlated with the student types artificially judged by teachers. The study also identified significant fluctuations in the evolution of teaching interactions during the transition from the course warm-up period to the start of Theme 1, which later stabilized, indicating a critical tipping point in the evolution.
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关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
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学术脉络
学科主题
计算机 / AIOnline Learning and Analytics
Online and Blended Learning · Complex Network Analysis Techniques
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