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The concept of double-loop learning was introduced by Chris Argyris in the 1970s. Double-loop learning entails the modification of goals or decision-making 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 ...
Double-loop learning (see diagram below) is used when it is necessary to change the mental model on which a decision depends. Unlike single loops, this model includes a shift in understanding, from simple and static to broader and more dynamic, such as taking into account the changes in the surroundings and the need for expression changes in ...
Behavioral psychology and organizational development: In their 1978 work on organizational learning, Chris Argyris and Donald Schön developed the concepts of single-loop and double-loop learning. [22] Single-loop learning is the process in which a mistake is corrected by using a different strategy or method that is expected to yield a ...
The organizational deutero-learning concept identified by Argyris and Schon [7] [8] defines when organizations learn how to carry out single-loop and double-loop learning. It has also been described as learning how to learn [9] through a process of collaborative inquiry and reflection (evaluative inquiry).
Schön believed that people and organizations should be flexible and incorporate their life experiences and lessons learned throughout their life. This is also known as Organizational learning (Fulmer, 1994). [20] Organizational learning is based on two things. The first being single–loop learning and the second being double–loop learning.
How those governing variables are treated in designing actions are the key differences between single-loop and double-loop learning. When actions are designed to achieve the intended consequences and to suppress conflict about the governing variables, a single-loop learning cycle usually ensues.
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When problems arise, the proposed solutions often turn out to be only short-term (single-loop learning instead of double-loop learning) and re-emerge in the future. [6] To remain competitive, many organizations have restructured, with fewer people in the company. [1] This means those who remain need to work more effectively. [3]