Collective Learning: Theoretical Perspectives and Ways To Support Networked Learning

It is argued that workers in organisations are more and more stimulated to share and develop knowledge together with the use of ICT, however, it is also important to focus on group dynamics.

Abstract

In this paper, we draw attention to collective learning from various theoretical perspectives, and discuss different forms of collective learning processes and outcomes. We argue that it is important to consider these differences when thinking of creating possibilities for groups to learn in organisations. Three types of collective learning (networks, teams, and communities) will be reviewed. We conclude that learning in communities is a powerful way to stimulate collective learning processes and shared collective learning outcomes. Finally, we argue that workers in organisations are more and more stimulated to share and develop knowledge together with the use of ICT [information and communication technology]. ICT creates possibilities for networked learning, however, we stress that it is also important to focus on group dynamics. They are crucial to coordinate and structure networked learning; two models to support this will be presented.