Argyris Double-Loop Learning ARGYRIS-DL: Double-Loop Learning - questioning and modifying underlying assumptions, values, and policies

Double-Loop Learning - questioning and modifying underlying assumptions, values, and policies. Control from Argyris Double-Loop Learning framework, domain: Learning Loops.

Other controls in Learning Loops

ARGYRIS-SL Single-Loop Learning - correcting errors within existing governing variables without questioning assumptions
ARGYRIS-TL Triple-Loop Learning - learning about how we learn, transforming the learning system itself

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The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.

MCP endpoint All Argyris Double-Loop Learning controls