Learning in nets (networks) - Katherine Hinchey - 0 views
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Nets are about individuals (not the collective group) and how each individual is a node with connections to other individuals.
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while the members of a group may do things for the betterment of the group, this is not true with nets: ‘We do not do things for the good of the network as we do for the good of the group because this makes no sense
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"while the members of a group may do things for the betterment of the group, this is not true with nets: 'We do not do things for the good of the network as we do for the good of the group because this makes no sense" https://diigo.com/0e3gx1 So has #CLmooc become a "group," as we continue to add goals for the benefit of all of us. Or, is this the evolution of "networks" into "Affinity Spaces or Networks"?
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People in a network may have little in common except the reason for the net itself.
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Within Connectivist learning theory, this is the idea of meta-skills, which Siemens (2005) defines as being able to evaluate whether something is worth learning.
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Usually, nets form separately from the design of any tools it may use to facilitation communication and sharing, so ‘it is therefore important for any software and surrounding systems designed to support networks to pay close attention to making participation (as well as ending participation) as easy and painless as possible’
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one key to learning is creating artifacts and using artifacts created by others — what Toffler (2006) called being a “prosumer” (producer and consumer)
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the means to create shared content is thus pivotal in providing tools for knowledge construction and tools for sharing and expanding on that knowledge’
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Contributing to a learning network and not receiving feedback or acknowledgement of that contribution quickly discourages further participation’
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nets provide people with a way to forge relationships and develop social capital outside their normal circle, and to come up with new and novel approaches to problems.
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Sometimes nets create filter bubbles, in which a person only sees information that they are inclined to believe
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Learning nets need to emerge