Double loop learning

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Double-loop learning (DLL) (coined by Chris Argyris) is the modification or rejection of a goal in the light of experience. DLL recognises that the way a problem is defined and solved and can be a source of the problem.[1]

"Single-loop learning" is the repeated attempt at the same problem, with no variation of method and without ever questioning the goal.

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