Research articles

Dropout Patterns and Cultural Context in Online Networked Learning Spaces

Authors:

Abstract

Dropout is a major concern in networked learning practices, however, little is known about the issue within the perspective of cultural contexts. On this basis, cultural context and dropout patterns were examined through a mixed-methods approach in which social network analysis and two-way between-group comparisons (culture vs. dropout) were conducted. The sample comprised 179 MOOC learners who were active in a networked extension of the Introduction to Open Education MOOC (#openEDMOOC). The dependent variables of interest were centrality metrics, whereas the independent variables were dropout (i.e., yes-no) and cultural contexts (i.e., high-low). The findings of the social network analysis suggested that non-dropout learners hold central positions in the network. Furthermore, learners from high cultural contexts tend to drop out, whereas those from low contexts tend not to drop out.

Keywords:

Dropoutcultural contextmassive open online coursesMOOCsonline networked learning
  • Year: 2019
  • Volume: 11 Issue: 1
  • Page/Article: 41-54
  • DOI: 10.5944/openpraxis.11.1.940
  • Submitted on 19 Nov 2018
  • Accepted on 21 Jan 2019
  • Published on 31 Mar 2019
  • Peer Reviewed