Double loop learning

The work of Chris Argyris (1923-) describes the concept of double-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. Single-loop learning (SLL) is the repeated attempt at the same problem, with no variation of method and without ever questioning the goal.

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Last modified on 9 May 2013, at 13:43