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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?. 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

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  1. Connectivism: A Learning Theory for a Digital Age George Siemens gsiemens@elearnspace.org

  2. What’s happening? • Decentralizing • Democratizing • Distributed • Changed dynamics of what it means to know • Acceleration

  3. Learning theories A model or representation of how learning occurs

  4. Behaviourism • Black box • Stimulus/Response • Theorists: Pavlov, Watson, Skinner, Thorndike

  5. Cognitivism • Information processing • Input, processing, storage, output • Computer-modeled • Theorists: Ausubel, Gagne, Bruner, Piaget, Vygotsky

  6. Constructivism • Learning is process of active construction of knowledge • Learners make sense of their experiences • Theorists: Bruner, Vygotsky, Piaget

  7. What’s missing?

  8. 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”

  9. It’s coming undone… “Things fall apart; the Center cannot hold; Mere anarchy is loosed upon the world” (Yeats)

  10. Decentralization and distributed representation of knowledge • Critical in diverse, rapidly developing knowledge spaces • Conundrum: • complex environments, without a filtered center, are overwhelming

  11. Our current solution

  12. Connectivism • Learning as a connection-forming process (neural and external) • The learning is in the network • Diversity • “Know where”…know who • Pattern recognition

  13. Learning Theories

  14. Move from creating content to creating space in which content is explored

  15. Connectivism Taxonomy • Awareness and Receptivity • Connection-forming • Contribution and Involvement • Pattern Recognition • Meaning-making • Praxis

  16. What skills are needed? • Anchoring • Filtering • Connecting • Being human • Creating and deriving meaning • Evaluation/authentication

  17. What skills are needed? • Critical/creative thinking • Pattern recognition • Navigate knowledge landscape • Acceptance of uncertainty • Contextualizing

  18. www.elearnspace.org www.connectivism.ca ltc.umanitoba.ca/wordpress www.knowingknowledge.com

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