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Double-loop learning: History & Products

Double-loop learning entails the modification of goals or decision-making rules in the light of experience. In double-loop learning, individuals or organizations not only correct errors based on existing rules or assumptions (which is known as single-loop learning), but also question and modify the underlying assumptions, goals, and norms that led to…

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Double-loop learning topic overview

The analysis highlights History and Products as prominent areas in the source structure around Double-loop learning.

Related topics
10
Source areas
3
Connected nodes
13
Extracted relationships
114
Concept neighborhoods
7
Bridge connections
13

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Historical precursors · 5 topics
Overview · 4 topics
Concept · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Concept

Historical precursors

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Double-loop learning connects Entity context

The extracted context around Double-loop learning shows recurring relationship patterns in the source. For example, Double-loop learning → Abingdon, Academic Press, Action, Addison-Wesley, Administrative Science Quarterly, Alain, American Psychological Association, Andrew, Anne, Argyris, Barbara, Bassot, Berrett-Koehler, Blackman, Blackwell Business, Bochman, Bringing, Brockbank, Catherine, Chris Another extracted example is Double-loop learning → Behavioral Theory, Behavioural Theory, Firm, James, March, Richard Cyert. Use these groups to spot repeated connection types before inspecting the individual relationships.

Double-loop learning

Top relations

related to Further reading · 99
Double-loop learning → Abingdon, Academic Press, Action, Addison-Wesley, Administrative Science Quarterly, Alain, American Psychological Association, Andrew, Anne, Argyris, Barbara, Bassot, Berrett-Koehler, Blackman, Blackwell Business, Bochman, Bringing, Brockbank, Catherine, Chris
related to Historical precursors · 6
Double-loop learning → Behavioral Theory, Behavioural Theory, Firm, James, March, Richard Cyert
related to Concept · 5
Double-loop learning → Chris Argyris, Double-loop, Teaching Smart People How, The, To Learn

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

learning double-loop isbn oclc organizational argyris chris goals rules single-loop change doi theory organization new 10 organizations decision-making changes york

Double-loop learning relationships Subject–Predicate–Object triples

TTTA extracted 114 structured relationships around Double-loop learning. Examples in this analysis include resistance to change → instance of → many organizations resist double-loop learning due to a number of variables and Double-loop learning → related to Concept → The. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
resistance to changeinstance ofmany organizations resist double-loop learning due to a number of variables0.80text
fear of failureinstance ofmany organizations resist double-loop learning due to a number of variables0.80text
and overemphasis on control.Reference models Iinstance ofmany organizations resist double-loop learning due to a number of variables0.80text
IISingle-loop learningDouble-loop learning Historical precursorsA Behavioral Theory of the Firminstance ofmany organizations resist double-loop learning due to a number of variables0.80text
Double-loop learningrelated to ConceptThe0.60section
Double-loop learningrelated to ConceptChris Argyris0.60section
Double-loop learningrelated to ConceptDouble-loop0.60section
Double-loop learningrelated to ConceptTeaching Smart People How0.60section
Double-loop learningrelated to ConceptTo Learn0.60section
Double-loop learningrelated to Further readingBassot0.60section
Double-loop learningrelated to Further readingBarbara0.60section
Double-loop learningrelated to Further readingBringing0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Double-loop learning bring nearby vocabulary together. In this analysis, examples include Learning, Argyris and Chris. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Double-loop learning
    • Learning
    • Argyris
    • Chris
    • Single-loop
    • Organizational
    • Organizations
    • Goals
    • Rules
    • Organization
    • Theory
    • Also
    • Decision-making
  • double-loop learning
    • Learning
    • Argyris
    • Chris
    • Single-loop
    • Organizational
    • Organizations
    • Goals
    • Rules
    • Organization
    • Theory
    • Change
    • Also
  • organizational learning
    • Organizational
    • Argyris
    • Organization
    • Action
    • Chris
    • Organizations
    • Change
    • Goals
    • Single-loop
    • Theory
    • Assumptions
    • Policies
  • goals
    • Rules
    • Modification
    • Underlying
    • Assumptions
    • Policies
    • Also
    • Existing
    • Norms
    • Solved
    • Uses
    • Learning
    • Loop
  • a behavioral theory of the firm
    • Action
    • Organizations
    • Double-loop
    • Solved
    • According
    • Learning
    • Models
    • Policies
    • Problem
    • Changes
    • Goals
    • Organization
  • chris argyris
    • Argyris
    • Chris
    • Double-loop
    • Learning
    • Action
    • Organizations
    • Single-loop
    • Change
    • Mental
    • Model
    • Models
    • According
  • decision-making
    • Modification
    • Goals
    • Rules
    • Uses
    • Loop
    • Double-loop
    • Learning

Connections between topic areas Semantic bridges

For Double-loop learning, one of the stronger structural bridges in this analysis connects Double-loop learning with Historical precursors. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Double-loop learning — Historical precursors · splits 8 ⟂ 6
Double-loop learning — Overview · splits 9 ⟂ 5

Map overview Semantic statistics

Double-loop learning

Nodes14
Edges13
Triples114
Avg. degree1.86
Density0.142857
Components1

Source & methodology

TTTA analyzes the structure around Double-loop learning to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Double-loop learning · EN edition · Analysis: TopicsToTalkAbout

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