Learning Analytics for Networked Learning Models
Keywords:Networked learning, connectivism, community of inquiry, SNA, Social network analysis, content analysis
AbstractTeaching and learning in networked setting has attained a significant amount of attention recently. The central topic of networked learning research is human-human and human-information interactions that occur within a networked learning environment. The nature of these interactions is highly complex and usually requires a multi-dimensional approach in analyzing their effects. Therefore, the main goal of this research is the development of a theoretical model that allows for a comprehensive and scalable analysis of how and why learners engage into collaboration in networked communities. The proposed research method, anticipated research outcomes and contributions to the learning analytics field are discussed.
How to Cite
Joksimovic, S., Gasevic, D., & Hatala, M. (2014). Learning Analytics for Networked Learning Models. Journal of Learning Analytics, 1(3), 191-194. https://doi.org/10.18608/jla.2014.13.20
Special section: Sparks of the learning analytics future (LASI 2014)
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