Learning Analytics for Networked Learning Models

Authors

  • Srecko Joksimovic School of Interactive Arts and Technology, Simon Fraser University
  • Dragan Gasevic Athabasca University
  • Marek Hatala Simon Fraser University

DOI:

https://doi.org/10.18608/jla.2014.13.20

Keywords:

Networked learning, connectivism, community of inquiry, SNA, Social network analysis, content analysis

Abstract

Teaching 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.

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Published

2014-12-24

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

Issue

Section

Special section: Sparks of the learning analytics future (LASI 2014)

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