Double-loop learning: Difference between revisions

Revision as of 21:55, 9 May 2012

Revision as of 04:10, 23 May 2012

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The work of Chris Argyris (1923-)describes the concept of doublesouble-loop learning (DLL) in which an individual, organization or entity is able, having attempted to achieve a goal on different occasions, to modify the goal in the light of experience or possibly even reject the goal. [[SingleDouble-loop learning|learning-loop earning]] (SLL) is the repeated attempt at the same problem, with no variation of method and without ever questioning the goal.

== See also ==