Double-Loop Learning
Double-loop learning is a concept where individuals or organizations reflect not just on what they did wrong, but also on why they did it in the first place. While single-loop learning involves correcting mistakes within existing frameworks and assumptions, double-loop learning challenges those very assumptions. It encourages deeper inquiry into underlying beliefs and behaviors, fostering significant change and growth. By understanding the reasons behind actions, it helps create more effective solutions and better decision-making in the future, leading to continuous improvement and adaptation in various contexts.
Additional Insights
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Double Loop Learning is a concept that encourages deeper reflection on our actions and beliefs. Instead of just solving problems (single loop), it involves questioning the underlying assumptions that inform our decisions. For example, if a team is not meeting its goals, single loop learning would focus on improving strategies, while double loop learning would also examine whether the goals themselves or the values driving them are appropriate. This approach promotes continuous improvement and learning by adapting not only tactics but also broader perspectives, leading to more effective and informed outcomes.