CONECTIVISM

The conectivims is the integration of principles explored by chaos theory, neural networks, complexity and self-organization. Learning is a process that occurs within a wide range of environments that are not necessarily under the control of the individual. That is why knowledge (defined as actionable knowledge) can reside outside the human being, for example with in an organization or a database, and focuses on connecting specialized information sets that allows us to increase our increasingly current state of knowledge.

This theory is driven by the understanding that decisions are based on accelerated transformation of the bases. New information is acquired continuously making obsolete the old one. The ability to distinguish between information that is important and what is trivial is vital and the ability to recognize when new information alters the decisions made ​​based on past information.

The starting point is the individual's conectivims. Personal knowledge is a network that feeds information to organizations and institutions, which in turn feed back information on the same network, which eventually ends up providing new learning to the individual. This cycle of knowledge development allows learners to stay current in the field in which they have formed connections.

• • Learning and knowledge rests in diversity of opinions.
  • Learning is the process of connecting nodes or information sources.
  • Not only humans learn, knowledge can reside outside the human being.
  • The ability to increase knowledge is more important than what is already known.
  • Need to nurture and maintain connections to facilitate continuous learning
  • The ability to see connections between fields, ideas and concepts is essential.
  • The date and accurate information is intended to all activities of connectionist process.
  • Decision making is itself a learning process. Choosing what to learn and the meaning of incoming information is seen through the lens of a changing reality. It is possible that a current response to a problem is wrong tomorrow under the new information received.
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