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Connectivism: A Learning Theory for a Digital Age. George Siemens gsiemens@elearnspace.org. What’s happening?. Decentralizing Democratizing Distributed Changed dynamics of what it means to know Acceleration. Learning theories. A model or representation of how learning occurs.

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connectivism a learning theory for a digital age

Connectivism: A Learning Theory for a Digital Age

George Siemens

gsiemens@elearnspace.org

what s happening
What’s happening?
  • Decentralizing
  • Democratizing
  • Distributed
  • Changed dynamics of what it means to know
  • Acceleration
learning theories
Learning theories

A model or representation of how learning occurs

behaviourism
Behaviourism
  • Black box
  • Stimulus/Response
  • Theorists: Pavlov, Watson, Skinner, Thorndike
cognitivism
Cognitivism
  • Information processing
  • Input, processing, storage, output
  • Computer-modeled
  • Theorists: Ausubel, Gagne, Bruner, Piaget, Vygotsky
constructivism
Constructivism
  • Learning is process of active construction of knowledge
  • Learners make sense of their experiences
  • Theorists: Bruner, Vygotsky, Piaget
democratizing learning
Democratizing Learning
  • In all cases? What about educational standards?
  • Link tool with intent
    • Facets - Bloom, Fink, Wiggins:
  • Integral
  • “Small pieces, anywhere, any tool, any time”
it s coming undone
It’s coming undone…

“Things fall apart; the Center cannot hold; Mere anarchy is loosed upon the world” (Yeats)

decentralization and distributed representation of knowledge
Decentralization and distributed representation of knowledge
  • Critical in diverse, rapidly developing knowledge spaces
  • Conundrum:
    • complex environments, without a filtered center, are overwhelming
connectivism
Connectivism
  • Learning as a connection-forming process (neural and external)
  • The learning is in the network
  • Diversity
  • “Know where”…know who
  • Pattern recognition
connectivism taxonomy
Connectivism Taxonomy
  • Awareness and Receptivity
  • Connection-forming
  • Contribution and Involvement
  • Pattern Recognition
  • Meaning-making
  • Praxis
what skills are needed
What skills are needed?
  • Anchoring
  • Filtering
  • Connecting
  • Being human
  • Creating and deriving meaning
  • Evaluation/authentication
what skills are needed18
What skills are needed?
  • Critical/creative thinking
  • Pattern recognition
  • Navigate knowledge landscape
  • Acceptance of uncertainty
  • Contextualizing
slide19
www.elearnspace.org

www.connectivism.ca

ltc.umanitoba.ca/wordpress

www.knowingknowledge.com