Respuesta :
Single-loop learning is most appropriate when the environment is stable, goals and objectives can be measured with a high-level of certainty, and there is little need for complex measures of performance.
Making modifications to fix an error or a mistake is the concept of single loop learning. It is centered on carrying out the proper actions. Although causality may be seen, it is usually never discussed. Double loop learning is the process of determining causality, comprehending it, and then acting to address the issue.
In single-loop learning, individuals, groups, or organizations adjust their behavior in response to the discrepancy between predicted and actual results. In other words, the majority of us would think about how the issue could be remedied when something goes horribly wrong or doesn't happen the way we would prefer. Single-loop learning can be defined as the condition where we analyze our current circumstance and deal with issues.
Learn more about single-loop learning here:
https://brainly.com/question/14756502
#SPJ4
