An example of theory-decomposing: Triple Loop Learning (an approach)

 An example of theory-decomposing: Triple Loop Learning (an approach)

    On 6 main ideas of R.L. Flood and N.R.A. Romm's Triple Loop Learning and then describe 1 main argument of his methodology in terms of Toulmin's model of argument.

R.L. Flood and N.R.A. Romm's Triple Loop Learning (TLL) extends single and double loop learning by integrating three learning centers for managing complex organizational issues. Their framework, detailed in Diversity Management: Triple Loop Learning, emphasizes critical systems thinking to handle diversity in problems, methodologies, and power dynamics.

Six Main Ideas

·        TLL simultaneously addresses three learning centers: design (How? – improving processes and structures), debate (What? – negotiating ends and means among stakeholders), and power-legitimacy (Why? – examining fairness and coercion in knowledge production).

·        It builds on single loop learning's three types: design-focused (e.g., Viable Systems Model for efficiency), debate-focused (e.g., Soft Systems Methodology for shared goals), and power-focused (e.g., Critical Systems Heuristics for impartiality).

·        TLL promotes circulation between these centers, avoiding exclusive focus on one loop to generate holistic, critically produced knowledge beyond the sum of parts.

·        Unlike double loop learning (which reconciles design and debate), TLL includes power dynamics to shift "power over" (domination) to "power to" (empowerment for design, debate, and relational transformation).

·        As a methodological tool of Diversity Management, TLL manages methodological diversity through "complementarist" choices, fostering tolerance, critique, and responsible decision-making.

·        TLL enables transformative interventions by producing broadened insights for better organizational designs, debates, and power relations, applicable in contexts like the "500 Schools Project."

Main Argument in Toulmin's Model

Flood and Romm's core argument for TLL is: TLL is superior to prior learning models (like Senge's systems thinking) for organizational transformation because it directly integrates processes of power alongside design and debate.

·        Claim: TLL enables genuine transformative learning by addressing power dynamics.

·        Grounds: Critiques in organizational learning literature (e.g., Senge) ignore power, limiting transformation; TLL's three foci shift power relations for empowerment.

·        Warrant: Learning must holistically manage design, debate, and power to produce critically generated knowledge for responsible choices, as shown in case interventions.

·        Backing: Supported by critical systems thinking and Diversity Management's complementarist meta-theory.

·        Qualifier: Generally effective unless researchers lack commitment to TLL principles.

·        Rebuttal: While single/double loops suffice for simple tasks, they fail in power-laden, complex situations where TLL excels.

 

The theory-decomposing exercise is a generative AI-enabled practice.

Reference

Flood, R.L. and Romm, N.R.A., 1996. Diversity management: Triple loop learning. Chichester: John Wiley & Sons

Relevant links: on ALRA 2026.

A collection of blog notes on using chatgpt for research purpose.