Double-loop learning: Difference between revisions

Revision as of 03:15, 28 November 2015

Revision as of 00:34, 16 December 2015

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[A] thermostat that automatically turns on the heat whenever the temperature in a room drops below 68°F is a good example of single-loop learning. A thermostat that could ask, "why am I set to 68°F?" and then explore whether or not some other temperature might more economically achieve the goal of heating the room would be engaged in double-loop learning.<ref name="c-argyris-learning"/>{{rp|99}}

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! colspan=2 | Process of learning

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[[File:smycka2eng.png|center|thumb|upright=0.80|Single-loop learning]]

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[[File:smycka3eng.png|center|thumb|upright=0.80|Double-loop learning]]

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== See also ==