4 Matching Annotations
  1. Jul 2019
    1. Communities of practice are one of the ways in which experiential learning, social constructivism, and connectivism can be combined, illustrating the limitations of trying to rigidly classify learning theories. Practice tends to be more complex.
      • Constructivism - roots in the philosophical and psychological viewpoints of this century, specially Piaget, Bruner and Goodman. Learning occurs when the mind filters inputs from the world to produce its unique reality. The mind is believed to be the source of all meaning, direct experiences with the environment are considered critical. It crosses both categories by emphasizing the interaction between learner and the real world.

      • Social constructivism would emphasize critical experiences between the learner and other learners and mentors.

      • Connectivism is the integration of principles explored by chaos, network, complexity and self-organization theory. A lot of the content is now offloaded to the machine that was previously residing within the learner.

  2. Mar 2019
    1. Edward Thorndike's three laws of learning. The page does not explain this, but his theories came out in about 1900. His three laws of learning appear to be relevant to our course work. This simple page features black text on a white page. It is brief and it simply describes the three laws of learning. rating 5/5

    1. This page is a simply presented list of many learning theories, both popular and less well known. The layout is clean. The pages to which the listed items link are somewhat minimal in nature so this would give a basic tour or overview of the models and would allow viewers to review the names of some of the learning theories. This page does not prioritize learning theories or identify and establish those theories that are the most prominent.

  3. Jul 2018
    1. However, computers and algorithms – even the most sophisticated ones – cannot address the fallacy of obviousness. Put differently, they can never know what might be relevant.

      One goal of systems science and modelling, to explore what might be relevant and give us better heuristics.