Double-Loop Learning
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
Proposed by Chris Argyris. - Single-loop learning: detect error → correct error (like a thermostat adjusting temperature). - Double-loop learning: detect error → reflect on goals, rules, and underlying variables → redesign the system → correct error.
SCAFFOLDING EFFECT
Reduce cognitive load
Root-cause thinking: When problems recur (e.g., employees are always late), do not just solve at the single-loop level (e.g., fines), but enter double-loop (e.g., is the work schedule unreasonable? Or have employees lost identification with the company?).
Anchor fast decisions
Argyris proposed that single-loop learning corrects errors within existing goals/rules (changing actions), while double-loop learning questions and modifies the underlying goals, assumptions, and mental models themselves.
MINIMUM ACTION
In progress 0/4Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Double-loop_learningverified
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