Connectivism: Difference between revisions
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{{Wiki | | {{Wiki | | ||
wiki_logo = http://www. | wiki_logo = http://www.connectivism.ca/images/connca/logoWiki.jpg | ||
| wiki_URL = http://www.connectivism.ca/wiki/ | | wiki_URL = http://www.connectivism.ca/wiki/index.php/ | ||
| wiki_recentchanges_URL = http://www.connectivism.ca/wiki/ | | wiki_recentchanges_URL = http://www.connectivism.ca/wiki/index.php/Special:RecentChanges | ||
| wiki_wikinode_URL = No | | wiki_wikinode_URL = No | ||
| wiki_status = | | wiki_status = NeedsLove | ||
| wiki_language = English | | wiki_language = English | ||
| wiki_editmode = LoginToEdit | | wiki_editmode = LoginToEdit | ||
| wiki_engine = | | wiki_engine = MediaWiki | ||
| wiki_maintopic = Education | | wiki_maintopic = Education | ||
}} | }} | ||
==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}} | ||
Revision as of 11:46, 14 December 2006
[{{{URL}}} {{{logo}}}] | [{{{URL}}} Connectivism] [{{{recentchanges URL}}} Recent changes] [No WikiNode] [No About] [No Mobile URL] |
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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 learning.