What is Connectivism?
Connectivism is a learning theory that emphasizes the role of social and cultural factors in the learning process, particularly in the digital age. Developed by George Siemens and Stephen Downes in the early 2000s, connectivism posits that learning occurs within networks of people, technologies, and information sources. Unlike traditional learning theories, connectivism recognizes that knowledge is distributed across a network rather than residing solely in individuals.
One of the core concepts of connectivism is the idea of "nodes" and "connections." Nodes can represent individuals, ideas, or resources, while connections signify the relationships between them. Learning, therefore, is understood as the ability to navigate and leverage these connections to acquire knowledge, solve problems, and make decisions.
In a connectivist framework, technology plays an essential role, as it facilitates the connection among learners and knowledge sources. Online platforms, social media, and collaborative tools enable seamless communication and information sharing. Hence, learners are encouraged to develop skills for curating and synthesizing information from various digital sources, rather than merely consuming static content.
Connectivism also addresses the dynamic nature of knowledge, suggesting that learning does not necessarily lead to a permanent acquisition of knowledge. Instead, learners must be adaptable and mindful of the evolving landscape of information and connections, allowing them to stay relevant in an increasingly complex world.