Double-loop learning

<p>The concept of double-loop learning was introduced by <a href="/facts/Chris_Argyris/SsDAKU3k">Chris Argyris</a> in the 1970s. Double-loop learning entails the modification of <a href="/facts/Goal/N5UtLKVk">goals</a> or <a href="/facts/Decision-making/NbJYprSw">decision-making</a> rules in the light of experience. In double-loop learning, individuals or organizations not only correct errors based on existing rules or assumptions (which is known as single-loop learning), but also question and modify the underlying assumptions, goals, and norms that led to those actions. The first loop uses the goals or decision-making rules, the second loop enables their modification, hence "double-loop". Double-loop learning recognises that the way a problem is defined and solved can be a source of the problem. This type of learning can be useful in <a href="/facts/Organizational_learning/DIqKBc4J">organizational learning</a> since it can drive creativity and <a href="/facts/Innovation/aa7hadLw">innovation</a>, going beyond adapting to change to anticipating or being ahead of change.
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Double-loop learning open-in-new

Double-loop learning