Connectivism: Difference between revisions

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{{Wiki |
{{Wiki
  wiki_logo             = http://www.connectivism.ca/images/connca/logoWiki.jpg
|logo             = http://www.connectivism.ca/images/connca/logoWiki.jpg
| wiki_URL               = http://www.connectivism.ca/wiki/index.php/
|URL               = http://www.connectivism.ca/wiki/index.php/
| wiki_recentchanges_URL = http://www.connectivism.ca/wiki/index.php/Special:RecentChanges
|recentchanges URL = http://www.connectivism.ca/wiki/index.php/Special:RecentChanges
| wiki_wikinode_URL     = No
|wikinode URL     = No
| wiki_status           = NeedsLove        
|status           = Needs love        
| wiki_language         = English       
|language         = English       
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==Description==
==Description==
Connectivism is a theory of learning that incorporates significant societal and technological trends. Learning is a complex process of creating networks and connections in order to stay current in rapidly evolving envionments. Adaptability, constant meta-evaluation (of self and environment), and an acceptance of ambiguity and chaos are critical to {{tag|learning}}.
Connectivism is a theory of learning that incorporates significant societal and technological trends. Learning is a complex process of creating networks and connections in order to stay current in rapidly evolving envionments. Adaptability, constant meta-evaluation (of self and environment), and an acceptance of ambiguity and chaos are critical to {{tag|learning}}.
* {{tag|SelfOrganization}}
* {{tag|SelfOrganization}}

Latest revision as of 21:52, 11 December 2022

http://www.connectivism.ca/images/connca/logoWiki.jpg Connectivism
Recent changes
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Founded by:
Status: Needs love
Language: English
Edit mode: LoginToEdit
Wiki engine: MediaWiki
Wiki license: [[:Category:Wiki {{{license}}}|{{{license}}}]]
Main topic: Education

Description[edit]

Connectivism is a theory of learning that incorporates significant societal and technological trends. Learning is a complex process of creating networks and connections in order to stay current in rapidly evolving envionments. Adaptability, constant meta-evaluation (of self and environment), and an acceptance of ambiguity and chaos are critical to learning.