Connectivism and Connective Knowledge: Essays on meaning and learning networks

Connectivism and Connective Knowledge: Essays on meaning and learning networks

By Stephen Downes
Book Description

Connectivism is the thesis that knowledge is distributed across a network of connections, and therefore that learning consists of the ability to construct and traverse those networks. The bulk of this work is devoted to tracing the implications of this thesis in learning. Yes, this could have been a shorter book – and perhaps one day I’ll author a volume without the redundancies, false starts, detours and asides, and other miscellany. Such a volume would be sterile, however, and it feels more true to the actual enquiry to stay true to the original blog posts, essays and presentations that constitute this work.

Table of Contents
  • Title Page
  • Contents
  • Introduction
    • Introducing My Work
  • Knowledge, Learning and Community
  • E-Learning Generations
  • A Gathering of Ideas
  • A Series of Questions
  • What I'm Working On
  • Some Principles of Effective E-Learning
    • Networks, Connectivism and Learning
  • Semantic Networks and Social Networks
  • The Space Between the Notes
  • The Vagueness of George Siemens
  • Network Diagrams
  • What Networks Have In Common
  • The Personal Network Effect
  • Diagrams and Networks
  • The Blogosphere is a Mesh
  • The Google Ecosystem
  • What Connectivism Is
  • Connectivism and its Critics: What Connectivism Is Not
  • Connectivism and Transculturality
  • Theoretical Synergies
  • A Truly Distributed Creative System
  • The Mind = Computer Myth
  • What's The Number for Tech Support?
  • Informal Learning: All or Nothing
  • Non-Web Connectivism
    • Meaning, Language and Metadata
  • Principles of Distributed Representation
  • When Words Lose Meaning
  • Concepts and the Brain
  • On Thinking Without Language
  • Planets
  • Types of Meaning
  • Naming Does Not Necessitate Existence
  • Connectivism, Peirce, and All That
  • Brakeless Trains - My Take
  • Meaning as Medium
  • Patterns of Change
  • Speaking in LOLcats
    • Knowledge and Knowing
  • Belief
  • Confirming Theories
  • The New Nature of Knowledge
  • More on New Knowledge
  • Knowledge Mobilization and Knowledge Translation
  • Data
  • Content and Data
  • Knowledge and Recognition
  • Pattern Recognition as Skill
  • Memory and Memorization
  • A Simple Definition of Knowledge?
  • How Do You Know?
  • How Do You Know? (2)
  • An Introduction to Connective Knowledge
  • Types of Knowledge and Connective Knowledge
  • Relativism and Science
  • Cosmology and Economics
  • Having Reasons
    • Groups and Networks
  • Community Blogging
  • Groups and Networks
  • Connectives and Collectives: Learning Alone, Together
  • Small Groups
  • Connectivist Dynamics in Communities
  • Geese
  • Networks, Communities, Systems
  • The Cloud and Collaboration
  • You work in a community, not a company
  • That Group Feeling
  • Groups vs Networks: The Class Struggle Continues
  • Groups
  • Walls
  • Inward Facing
  • Collabularies
  • Networks, Power and Ethics
  • Networks, Neighbourhoods and Communities: A Reflection
  • The Secreted Life of Bees
    • The Semantic Condition
  • Cascades and Connectivity
  • Influence
  • What Is Democracy In Education
  • Autonomy
  • A Model of Autonomy
  • Uniqueness and Conformity
  • Homophily and Association
  • More on Sameness
  • What's Already Been Proven
  • The Role of Open Educational Resources in Personal Learning
  • Network Equity (1) - Selective Attraction
  • Collaboration and Cooperation
  • Surveys Are Not Connective Knowledge
  • Three Models of Knowledge Production
    • Massive Open Online Courses
  • How This Course Works
  • Principles of Resource Sharing
  • Creating the Connectivist Course
  • What a MOOC Does
  • How to Participate in the MOOC
  • How to Participate in the MOOC - 2
  • That's Week One in the Record Books
  • Response to Fitzpatrick
  • Engagement and Motivation in MOOCs
  • The Right Mix
  • MOOCs and the OPAL Quality Clearinghouse
  • Education as Platform: The MOOC Experience and what we can do to make it better
  • Personal Learning Environments
    • Content and Assessment
  • Review: The Edupunks' Guide, by Anya Kamenetz
  • Serialized Feeds
  • Where the Future Lies
  • Engagement and Personalized Learning
  • Learning and Assessment
  • Recognizing Learning
  • Free Learning and Control Learning: On the So-Called Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching
  • Response to Kirschner
  • "More German" and Learning Atoms
  • Connectivism and Connective Knowledge
  • The Knowledge Hunters
  • Footnotes
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