Single-Loop Learning

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To understand single-loop learning, one must understand learning itself. In our working world, people take on new jobs all the time. They have to learn a new routine, learn how to avoid mistakes, and learn to do the best possible job in the least possible amount of time. Management has its procedures for teaching processes; sometimes they pay off and sometimes they don't. Sometimes the process defeats itself because of all the steps that have to be taken to get the desired end.

Years ago I worked in an office. There were certain procedures to follow to do everything required for that position. So I made a notebook with all the procedures and the steps needed to complete each one. When I stopped that job, my replacement looked at my book, and in a short amount of time she was able to do everything I had done by simply following the steps. That was single-loop learning before the word was ever coined by Chris Argyris and Donald Schon.

The theory of single-loop learning seems to boil down to doing the simplest thing possible in the shortest amount of time to prevent errors and reach the desired outcome.


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