Knowing Knowledge Highlights 31-40

You can find the other posts here and here.

From the book Knowing Knowledge by George Siemens the things I’ve highlighted.

Capacity to know more is more critical than what is currently known. p. 31

Learning and knowing are constant, on going processes (not end states or products). p. 31

A constructivist view of learning, for example, suggests that we process, interpret, and derive personal meaning from different information formats. What happens, however, when knowledge is more of a deluge than a trickle? What happens when knowledge flows too fast for processing or interpreting? p. 33

A network model of learning (an attribute of connectivism) offloads some of the processing and interpreting functions of knowledge flow to nodes within a learning network. Instead of the individual having to evaluate and process every piece of information, she/he creates a personal network of trusted nodes: people and content, enhanced by technology. The learner aggregates relevant nodes…and relies on each individual node to provide needed knowledge. The act of knowing is offloaded onto the network itself. This view of learning scales well with continued complexity and pace of knowledge development. p. 33

The problem rests largely in the view that learning is a managed process, not a fostered process. p. 33

The content needs to be findable at the learner’s point of need, as compared to learning being provided just-in-case. p. 37

Course are fairly static. Knowledge is dynamic-changing hourly,daily. p. 37

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