Connectivisme : un néologisme à retenir.

En lisant ce billet d’Harold, qui traite du modèle de réseau d’apprentissage de Stephen Downes, je jette un coup d’œil sur cet article hyperlié de George Seimens et vlan! Me voilà séduit : le connectivisme.

En soulignant que le béhaviorisme, le cognitivisme et le constructivisme sont des théories nées avant cette ère d’information et de technologies, l’auteur soulève quelques questions pertinentes avant de se lancer dans une théorie alternative :

  1. How are learning theories impacted when knowledge is no longer acquired in the linear manner?
  2. What adjustments need to made with learning theories when technology performs many of the cognitive operations previously performed by learners (information storage and retrieval).
  3. How can we continue to stay current in a rapidly evolving information ecology?
  4. How do learning theories address moments where performance is needed in the absence of complete understanding?
  5. What is the impact of networks and complexity theories on learning?
  6. What is the impact of chaos as a complex pattern recognition process on learning? With increased recognition of interconnections in differing fields of knowledge, how are systems and ecology theories perceived in light of learning tasks?

Ce que c’est?

Connectivism is the integration of principles explored by chaos, network, and complexity and self-organization theories. Learning is a process that occurs within nebulous environments of shifting core elements – not entirely under the control of the individual. Learning (defined as actionable knowledge) can reside outside of ourselves (within an organization or a database), is focused on connecting specialized information sets, and the connections that enable us to learn more are more important than our current state of knowing.
Connectivism is driven by the understanding that decisions are based on rapidly altering foundations. New information is continually being acquired. The ability to draw distinctions between important and unimportant information is vital. The ability to recognize when new information alters the landscape based on decisions made yesterday is also critical.

Les principes du connectivisme?

  • Learning and knowledge rests in diversity of opinions.
  • Learning is a process of connecting specialized nodes or information sources.
  • Learning may reside in non-human appliances.
  • Capacity to know more is more critical than what is currently known
  • Nurturing and maintaining connections is needed to facilitate continual learning.
  • Ability to see connections between fields, ideas, and concepts is a core skill.
  • Currency (accurate, up-to-date knowledge) is the intent of all connectivist learning activities.
  • Decision-making is itself a learning process. Choosing what to learn and the meaning of incoming information is seen through the lens of a shifting reality. While there is a right answer now, it may be wrong tomorrow due to alterations in the information climate affecting the decision.

On s’éloigne de l’individu? L’être humain? Pas du tout, mais plutôt…

The starting point of connectivism is the individual. Personal knowledge is comprised of a network, which feeds into organizations and institutions, which in turn feed back into the network, and then continue to provide learning to individual. This cycle of knowledge development (personal to network to organization) allows learners to remain current in their field through the connections they have formed.

Je conserve l’article précieusement, afin de le relire, le re-re-relire (comme l’ado dans la pub de Monsieur Bell). Et surtout, je le partage dans tous mes réseaux et mes «connexions».

Bon dimanche!

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