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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
"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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