Learning analytics for networked learning models

Srecko Joksimović, Marek Hatala, Dragan Gašević

Research output: Contribution to journalArticleOtherpeer-review


Teaching and learning in networked settings has attracted significant attention recently. The central topic of networked learning research is human–human and human–information interactions occurring within a networked learning environment. The nature of these interactions is highly complex and usually requires a multi-dimensional approach to analyze their effects. Therefore, the main goal of this research is the development of a theoretical model of networked learning that allows for a comprehensive and scalable analysis of how and why learners engage in collaboration in networked communities. The proposed research method, anticipated research outcomes, and contributions to the learning analytics field are discussed.
Original languageEnglish
Pages (from-to)191-194
Number of pages4
JournalJournal of Learning Analytics
Issue number3
Publication statusPublished - 2014
Externally publishedYes


  • networked learning
  • connectivism
  • community of inquiry
  • SNA
  • content analysis

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