Swarm Learning

Learning in the Ecosystem is based on self-organization, because it is considered to be robust and scalable architectures that can automatically solve complex, dynamic problems. Nir Golan, Educational & Leadership Expert, suggests a new model for Learning in the Ecosystem: Swarm Learning.

Swarm Learning model 4 steps:

·        Participating

·        Searching

·        Naming

·        Adaptive learning

Ecosystems are a novel swarm where the Learning process works at two levels: first Participating: migration of participators which are distributed in a decentralized peer-to-peer network, operating continuously in time; Searching: trying to identify emerging phenomena.

Naming the emerging phenomena is the third step, new reality has been created. This Naming process feeds a second Learning process based on emerging phenomena that operates locally on single peers and is aimed at finding solutions to satisfy locally relevant constraints. Then Adaptive Learning occurs: Individuals within Ecosystem will migrate through the Ecosystem and adapt to find new niches where they are useful in fulfilling others needs for new learning process. Dobeing is a combination of doing and being, therefore it is a new term. Golan assumes that these two modes should be fused and not use as a conflict term. Self-dobeing is to express and activate all the passion, Capabilities and Uniqueness of the organism.