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Structural limitations of learning in a crowd: communication vulnerability and information diffusion in MOOCs
Nabeel Gillani1, Taha Yasseri2, Rebecca Eynon2
1Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK.
Scientific Reports
|September 24, 2014
Summary
Massive Open Online Courses (MOOCs) foster global learning but structural limits hinder knowledge exchange. Network analysis reveals engagement and inclusivity vary, impacting information diffusion in online education.
Area of Science:
- Online Education
- Social Network Analysis
- Educational Technology
Background:
- Massive Open Online Courses (MOOCs) offer global access to education.
- Theoretically, MOOCs can foster collective intelligence and knowledge construction through dialogue.
- Understanding learner interaction is key to optimizing online learning environments.
Purpose of the Study:
- To analyze the network structures of learner interactions in MOOCs.
- To investigate how discussion topics and pedagogy affect engagement and knowledge diffusion.
- To identify structural limitations in large-scale online learning.
Main Methods:
- Collected communication data from two instances of a business strategy MOOC.
- Filtered communication patterns to identify significant learner interaction networks.
- Applied complex network analysis to examine forum vulnerability and information diffusion.
Main Results:
- Discussion topics and pedagogical approaches significantly influence peer-to-peer engagement and participant inclusivity.
- Network modularity impacts information diffusion, preventing a truly global knowledge exchange.
- Learner interaction patterns reveal structural limitations inherent in large-scale online learning.
Conclusions:
- MOOCs face structural challenges in achieving widespread knowledge sharing.
- Learner engagement and learning within social contexts vary significantly.
- Insights can inform future online education design for improved collaboration and diffusion.
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