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Theories of learning – epistemology of
connectivism
Stephen Downes
Beirut, Lebanon
November 7, 2016
Ways of seeing the world
Experience (Qualitative)
Reason (Quantitative)
Basis of Knowledge
Experience (Qualitative) Perception
Reason (Quantitative) Cognition
A Third Way
Experience (Qualitative) Perception
Reason (Quantitative) Cognition
Interaction (Connective) Recognition
Pedagogical Divisions
Experience Arts, drama, music, humanities,
culinary, design, religion
Reason Language, mathematics, ...
Literacies
Experience Change Progression, cycle, dialectic,
growth
Semantics Meaning, truth, value, purpose,
classificatio...
A Sense of Progression
Inexperienced Experienced
Unknowing Knowing
Unconnected Connected
A Gap to Fill?
Inexperienced Experienced
Unknowing facts? Knowing
Unconnected Connected
Gap?
A Gap to Fill?
Inexperienced writing, painting, drawing,
acting, traveling, creating,
tasting, discerning
Experienced
Unkn...
Causes of Change
Drivers
Attractors
Resistance
Inertia
Costs
Events
Crises
Inventions
Growth
Values
Goals
Desires
Needs
‘T...
Causes of Change in Education
Drivers
Attractors
Resistance
Inertia
Inexperience
Ignorance
Disconnection
Experience
Knowle...
A Logic Model of Education
Input Learning Effect Benefit
A Logic Model of Education
Input Learning Effect Benefit
Inexperienced Experienced
Unknowing Knowing
Unconnected Connected
Learning Theories
Input Learning Effect Benefit
Behaviorism
. (Instructivism)
transmission Repetition
Cognitivism construc...
A Map of Learning Technology
A Map of Learning Technology
A Graph of Learning Technology
A Map of Learning Technology
Software
Development
Learning
Content
Learning
Activities
Aggregation &
Metadata
Resource
Rep...
A Model of Learning Technology
Software
Development
Learning
Content
Learning
Activities
Aggregation &
Metadata
Resource
R...
Learning Technology Value Chain
Software
Development
Learning
Content
Learning
Activities
Aggregation &
Metadata
Resource
...
Stephen Downes
http://www.downes.ca
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Theories of learning – epistemology of connectivism

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Presentation of major branches of epistemology, placing connectivism into this content, and then describing learning theories in this framework. This becomes a basis for a discussion of the process of learning underlying learning technologies, from which, ultimately, a learning technology value chain is presented.

Published in: Education
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Theories of learning – epistemology of connectivism

  1. 1. Theories of learning – epistemology of connectivism Stephen Downes Beirut, Lebanon November 7, 2016
  2. 2. Ways of seeing the world Experience (Qualitative) Reason (Quantitative)
  3. 3. Basis of Knowledge Experience (Qualitative) Perception Reason (Quantitative) Cognition
  4. 4. A Third Way Experience (Qualitative) Perception Reason (Quantitative) Cognition Interaction (Connective) Recognition
  5. 5. Pedagogical Divisions Experience Arts, drama, music, humanities, culinary, design, religion Reason Language, mathematics, logic, science, technology Interaction Practicum, internship, apprenticeship, fellowship
  6. 6. Literacies Experience Change Progression, cycle, dialectic, growth Semantics Meaning, truth, value, purpose, classification, category Reason Syntax Principles, rules, regularities, similarities, grammar, method Cognition Argument, explanation, definition, description Interaction Use Practice, operation, interrogation, experimentation Context Space, environment, difference, background, culture
  7. 7. A Sense of Progression Inexperienced Experienced Unknowing Knowing Unconnected Connected
  8. 8. A Gap to Fill? Inexperienced Experienced Unknowing facts? Knowing Unconnected Connected Gap?
  9. 9. A Gap to Fill? Inexperienced writing, painting, drawing, acting, traveling, creating, tasting, discerning Experienced Unknowing measuring, counting, calculating, inferring, demonstrating, explaining Knowing Unconnected using, modeling, sharing, discussing, practicing, reflecting, connecting Connected Learning
  10. 10. Causes of Change Drivers Attractors Resistance Inertia Costs Events Crises Inventions Growth Values Goals Desires Needs ‘Tech’ ‘Pedagogy’
  11. 11. Causes of Change in Education Drivers Attractors Resistance Inertia Inexperience Ignorance Disconnection Experience Knowledge Embodiment ‘Tech’ ‘Pedagogy’
  12. 12. A Logic Model of Education Input Learning Effect Benefit
  13. 13. A Logic Model of Education Input Learning Effect Benefit Inexperienced Experienced Unknowing Knowing Unconnected Connected
  14. 14. Learning Theories Input Learning Effect Benefit Behaviorism . (Instructivism) transmission Repetition Cognitivism construction Representation Connectivism interaction Connection
  15. 15. A Map of Learning Technology
  16. 16. A Map of Learning Technology
  17. 17. A Graph of Learning Technology
  18. 18. A Map of Learning Technology Software Development Learning Content Learning Activities Aggregation & Metadata Resource Repositories Communities & Social Media Cloud Applications Learning Environments Simulations & Virtual Reality Learning Analytics Learning Records Competencies & Skills
  19. 19. A Model of Learning Technology Software Development Learning Content Learning Activities Aggregation & Metadata Resource Repositories Communities & Social Media Cloud Applications Learning Environments Simulations & Virtual Reality Learning Analytics Learning Records Competencies & Skills
  20. 20. Learning Technology Value Chain Software Development Learning Content Learning Activities Aggregation & Metadata Resource Repositories Communities & Social Media Cloud Applications Learning Environments Simulations & Virtual Reality Learning Analytics Learning Records Competencies & Skills
  21. 21. Stephen Downes http://www.downes.ca

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