Connectivism

Welcome to the new era, where technology has changed the lives of all people in the world, where with a click, you can access new information thanks to platforms and websites that always have answers to our questions. The students of this era have the facility to access any information necessary for their studies, and didactic materials have been implemented for the new update of methodologies and contents.

The growing use of technology as an educational tool has changed the learning style around the world. Connectivism theory seeks to be the modern solution to those gaps, a must-have in every classroom to provide additional tools and strategies to create a learning environment that prepares your students for success.

What is Connectivism Learning Theory?

Connectivism is a learning theory that suggests that students should combine thoughts, theories, and general information in useful ways. This theory accepts that technology is an important part of the learning process and that our constant connection gives us opportunities to make decisions about our learning. It promotes collaboration and group discussion, allowing for different viewpoints and perspectives when making decisions, solving problems, and making sense of information. Connectivism promotes learning that occurs using digital channels, social networks, online networks, blogs, or information databases.

History of Connectivism Learning Theory

Connectivism was first introduced in 2005 by two theorists, George Siemens and Stephen Downes. Siemens’ article Connectivism: Learning as a Network Creation was published online in 2004 and Downes’ article An Introduction to Connective Knowledge was published the following year.

The publications address the important role technology plays in the learning process and how the digital age has increased the speed at which students have access to information. Since then, both Siemens and Downes have continued to write and speak on the subject. However, each has slightly different viewpoints. While Siemens tends to focus on the social aspects of connectivism, Downes focuses on non-human appliances and machine-based learning.