Single-loop learning is characterized by which type of change?

Single-loop learning focuses on making incremental changes based on feedback received, particularly in a specific context or task. This type of learning emphasizes refining and adjusting existing skills or practices to improve performance or outcomes without fundamentally altering underlying beliefs or assumptions.

In this context, individuals engage in a process of trial and error, where they apply new strategies or techniques that can lead to improved results. This learning approach is practical and often used in settings where immediate adjustments are required to facilitate better performance with established frameworks.

While other changes, such as significant transformations in beliefs or fundamental shifts in thinking, fall under the umbrella of double-loop learning—where deeper reflection and reconsideration of underlying assumptions occur—single-loop learning remains more surface-level. It is about optimizing current skillsets rather than overhauling them or rethinking the foundation of one’s understanding.