Connectivism
Connectivism
Introduction
Connectivism is a theory of learning first articulated by George Siemens in 2005 pdf.
Principles of Connectivism
Unlike prior theories Connectivism is grounded in the internet age and is framed around the following principles:
- Learning and knowledge rests in diversity of opinions.
- Learning is a process of connecting specialized nodes or information sources.
- Learning may reside in non-human appliances.
- Capacity to know more is more critical than what is currently known
- Nurturing and maintaining connections is needed to facilitate continual learning.
- Ability to see connections between fields, ideas, and concepts is a core skill.
- Currency (accurate, up-to-date knowledge) is the intent of all connectivist learning activities.
- Decision-making is itself a learning process. Choosing what to learn and the meaning of incoming information is seen through the lens of a shifting reality. While there is a right answer now, it may be wrong tomorrow due to alterations in the information climate affecting the decision.
See also
- My links in diigo
- Connectivism - a Learning theory for the digital age, Siemens, 2005 annotated copy
- Learning Networks and Connective Knowledge, Downes, 2006 pdf
- Downes Philosophical Foundations of Connectivism
- How Networks Learn — Stephen Downes explains Connectivism as Learning Theory. post
- Connectivism and Collective Knowledge, Stephen Downes, 2012 pdf
- Connectivism: Design and Delivery of Social Networked Learning, George Siemens, Gráinne Conole 2011 pdf