Learning Analytics for Networked Learning Models

Srecko Joksimovic, Dragan Gasevic, Marek Hatala

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)191–194
JournalJournal of Learning Analytics
Volume1
Issue number3
Publication statusPublished - 2014

Keywords

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

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