Skip to content

Learning-Science Digest

Fringe of Human Learning Technology and Emergence

Categories

  • 4E Cognition
  • Ability grouping
  • Accelerated learning
  • Acting/ Role play
  • Active learning
  • Active/ Action learning
  • Activities
  • Adaptive Learning
  • Administration & Leadership
  • Affordances
  • After-School Programs
  • Agency/ Autonomy
  • Analogy & Analogy based Learning
  • Anchored Instruction
  • Andragogy
  • Anthropology/ Ethnographic learning
  • Apprenticeship
  • Approaches
  • Apps
  • Artificial Intelligence
  • Assessment
  • Asynchronous Learning
  • Attitude
  • Banking model
  • Behavior Design
  • Behavioural
  • Belonging
  • Biology
  • Blended, Flipped, etc
  • books
  • Brain
  • Bricolage
  • Catholic Education
  • Causation
  • Coaching
  • Cognitive Diversity
  • Cognitive Load
  • Cognitive Science
  • Collaborative learning
  • Communities of practice
  • Competency-Based Learning
  • Complexity Theory
  • Compliance Training
  • Computational Learning
  • Computer Based Math
  • Concept Differences
  • Concept similarity
  • Connected Learning
  • Connectivism
  • Constraints
  • Constraints-Led Approach
  • Constructionism
  • Constructivism
  • Contextualized Learning
  • Contrast and Polarity
  • Courses
  • Creativity/ Innovation
  • Critical articles
  • Critical Pedagogy
  • Critical Thinking
  • Cultural Intelligence
  • Cultural Learning
  • Cumulative culture
  • Curriculum
  • Curriculum Design
  • Deliberate Practice
  • Design Science/ Approaches
  • Desirable Difficulty
  • Dialogic Learning
  • Differential learning
  • Digital Learning
  • Direct Instruction/ KLC
  • Disability and Learning
  • Discovery Learning
  • Discussion/ Debate
  • Disposition/Propensity
  • Distributed Cognition/ Learning
  • DIY learning/ Edupunk
  • Dynamics and learning
  • Early Intervention
  • Ecological Approch
  • Ecological Dynamics
  • Ed-tech
  • Education
  • Education Models
  • Education Policy
  • Education Thinkers
  • Effectuation
  • Elaboration
  • Embedded Cognition
  • Embodied Cognition
  • Emergence
  • Emergency learning
  • Emerging technology
  • Emulative learning
  • Enactive learning
  • Enskilment
  • Entangled pedagogy
  • Entrepreneurial Learning
  • Ethics and Moral learning
  • Evaluation
  • Evidence
  • Evolution and Learning
  • Exams
  • Exaptation
  • Exercise
  • Experiential Learning
  • Expertise
  • Explicit instruction
  • Extended Cognition
  • Family/ Religion
  • Feedback
  • Frameworks
  • Future Of Learning
  • Games/ Gamification
  • Generation Effect
  • Generative AI
  • Genius
  • Geragogy
  • Grading
  • Happiness and learning
  • Heuristics
  • Heutagogy
  • Higher Education
  • History Of Education
  • Home Slider
  • Home/ Home Schooling/ Learning
  • Homework
  • Human Machine Interface
  • Humor
  • Hypercorrection
  • Improvisation
  • Informal Learning
  • Innovation
  • Inquiry
  • Instructional Design
  • Instrumentalism
  • Intelligence
  • Interviews
  • Job training
  • Knowledge Rich Curriculum
  • Knowledge: Types. etc.
  • Labelling
  • Language Learning
  • Law and Legal Learning
  • Learning and Development
  • Learning Difficulties
  • Learning Environments
  • Learning for life
  • Learning in Chaos
  • Learning in complexity
  • Learning Management System
  • Learning Myths
  • Learning Programming
  • Learning Science
  • Learning Stations
  • Learning Systems
  • Learning Techniques/Methods
  • Learning Thinkers
  • Learning under anxiety/pressure/stress
  • Learning/ Teaching Strategies
  • Learning/ Understanding By Design
  • Looping effect
  • Maker Learning
  • Mastery
  • Mathew Effect
  • Maths Learning
  • Measurement
  • Medical Education/Learning
  • Memory
  • Meta-Analysis
  • Meta-Cognition
  • mindset
  • Mnemonics
  • Montessori
  • Motivation
  • Motor Learning
  • Music/ Arts and Learning
  • Mystagogy
  • Needs and Need based Learning
  • Networked Learning
  • Networks and Ecosystem
  • Neurodivergence
  • Neuroscience
  • Non Computational
  • Non-Representational
  • Nonlinear Pedagogy
  • Novelty and learning
  • Observational learning
  • On-the-Job Training
  • Online and MOOC Learning
  • outdoor-education
  • Pedagogy
  • Peer Learning
  • Personalized Learning
  • Philosophy Of Education
  • Philosophy Of Learning
  • Philosophy Of Science
  • Place-Based Learning
  • Play/ Ludic Pedagogy
  • Policy
  • Pragmatism
  • Problem-based learning
  • Productive Failures
  • Professional education
  • Professional Learning
  • Progressive Education
  • Project Based Learning
  • Proximity and Learning
  • Psychological Issues
  • Question asking/ Question design
  • Reading , Literacy , etc
  • Recognition
  • Reification/ Reductionism
  • Relational Expertise
  • Relational Learning
  • Religion
  • Research
  • Resting/ offline consolidation
  • Retrieval
  • Salience/Closeness
  • Scaffolding
  • Science Of Learning
  • self-efficacy
  • Self-Organization
  • Self-Paced Learning
  • Self-Regulated/ Self-Directed
  • Service Learning
  • Short Concept Introduction
  • Signalling
  • Simulation or Simulative Learning
  • Situated Learning
  • Skill
  • Sleep and Rest
  • Social Effects
  • Social Learning
  • Social-emotional learning
  • Society-Ecosystem etc
  • Socioeconomic Factors
  • Sociology Of Learning
  • Software And Technology Review
  • Speaking/Public Speaking
  • Spiral design
  • Sports learning
  • Sports Science
  • Story/Narrative based learning
  • Studying
  • Teacher/ teaching
  • Testing
  • Theology and learning
  • Theories
  • Tools, Aids, Artifacts
  • Training
  • Training Needs Analysis
  • Transdisciplinary/ Interdisciplinary, etc
  • Transfer Of Learning
  • Trending News
  • Uncategorized
  • Uncertainty and learning
  • Variable Practice
  • Vicarious learning
  • Video playlist
  • Virtual, Augmented, etc
  • Visible Learning/ Hattie
  • Visual Learning/Drawing
  • Vocational Education
  • Wakeful Resting
  • Work Place Learning
  • Workshop Model
  • Zone of Proximal Development (ZPD)
Primary Menu
  • Home
  • About
  • Thinkers
    • Learning Thinkers
    • Education Thinkers
  • Design For Learning
    • Design Science/ Approaches
    • Instructional Design
    • Behavior Design
    • Curriculum Design
    • Learning/ Understanding By Design
    • Motivation
    • Ecological Approch
    • Blended, Flipped, etc
    • Games/ Gamification
  • Tools/Techniques/Methods
    • Learning Techniques/Methods
    • Education Models
    • Testing
    • Retrieval
    • Blended, Flipped, etc
    • Differential learning
    • Dialogic Learning
    • Computer Based Math
    • Tools, Aids, Artifacts
    • Knowledge Rich Curriculum
    • Cognitive Load
    • Online and MOOC Learning
    • Scaffolding
    • Contrast and Polarity
    • Play/ Ludic Pedagogy
    • Problem-based learning
    • Cultural Learning
    • Direct Instruction/ KLC
    • Deliberate Practice
    • Visual Learning/Drawing
    • Games/ Gamification
    • Acting/ Role play
    • Analogy & Analogy based Learning
    • Inquiry
    • Improvisation
    • Constructionism
    • Situated Learning
    • Productive Failures
    • Anthropology/ Ethnographic learning
    • Project Based Learning
    • Connected Learning
    • Nonlinear Pedagogy
    • Personalized Learning
    • Maker Learning
    • Virtual, Augmented, etc
    • Service Learning
    • Constructivism
    • Connectivism
    • Vicarious learning
    • Active/ Action learning
    • Computational Learning
    • Relational Learning
    • Apprenticeship
    • Communities of practice
    • Home/ Home Schooling/ Learning
    • Contextualized Learning
    • DIY learning/ Edupunk
    • Constraints-Led Approach
    • Peer Learning
  • Domains
    • Language Learning
    • Entrepreneurial Learning
    • Maths Learning
    • Sports Science
    • Theology and learning
    • Sports learning
    • Professional education
    • Law and Legal Learning
    • Catholic Education
    • Higher Education
    • Medical Education/Learning
    • Work Place Learning
    • Learning Programming
    • On-the-Job Training
    • Job training
    • Compliance Training
  • Approaches
    • Neuroscience
    • Social Learning
    • Ecological Approch
    • 4E Cognition
    • Active learning
    • Transfer Of Learning
    • Cumulative culture
    • Embodied Cognition
    • Evolution and Learning
    • Embedded Cognition
    • Differential learning
    • Dialogic Learning
    • Experiential Learning
    • Learning Environments
    • Cultural Intelligence
    • Enactive learning
    • Constraints-Led Approach
    • Non-Representational
    • Self-Organization
    • Relational Learning
    • Relational Expertise
    • Enskilment
    • Extended Cognition
    • Distributed Cognition/ Learning
  • Artificial Intelligence
  • Education Policy
  • Expertise
Subscribe or Login
  • Home
  • Artificial Intelligence
  • The Myth of Cognitive Intelligence and the Power of Cumulative Cultural Intelligence
  • Artificial Intelligence
  • Cultural Intelligence
  • Intelligence

The Myth of Cognitive Intelligence and the Power of Cumulative Cultural Intelligence

Thomas Collins May 18, 2022
professional architect working with draft in office

Photo by Andrea Piacquadio on <a href="https://www.pexels.com/photo/professional-architect-working-with-draft-in-office-3771045/" rel="nofollow">Pexels.com</a>

Human intelligence is often portrayed as something that resides within the brain—a product of individual cognition, separate from external influences. This view, known as cognitivism, holds that what makes us human is the unique intelligence inside our heads. But this is a narrow perspective. The real source of human uniqueness lies in something far greater and more profound: cumulative cultural intelligence.

The True Nature of Human Intelligence

Rather than being a solitary attribute confined to our individual minds, human intelligence is distributed across society and history. Our intelligence is embodied in the cultural artifacts we create—tools, systems, institutions, social organizations like the police, military, and companies. These collective forms of intelligence extend beyond the individual and allow us to specialize, collaborate, and solve problems in ways that no single person could achieve alone.

Cumulative cultural intelligence refers to how culture captures knowledge and intelligence over time. This knowledge accumulates through institutions and practices, which makes it possible for us to do a few things exceptionally well without needing to worry about everything else. In other words, human intelligence is not confined to the brain, but extends through cultural structures that shape our collective problem-solving abilities.

The idea that human intelligence is purely cognitive neglects the social and material elements that contribute to human achievement. We are able to reach incredible heights of knowledge and skill because we build upon the collective intelligence of those who came before us—advancing technologies, organizing societies, and improving systems in ways that individual cognition alone could never facilitate.

The Misuse of Memorization in Education

Memory is crucial for learning, much like oxygen is essential for life. But memorization for the sake of tests, a practice central to traditional education, is not a healthy way to approach knowledge. In fact, it is akin to attaching an oxygen mask to a human who can already breathe naturally. Memorizing vast amounts of disconnected facts, especially for standardized tests, distorts our understanding of learning. It assumes that knowledge is static and quantifiable when in reality, knowledge-making is a dynamic, socio-material process.

Standardized tests, such as PISA, rely on a reductive input-output model of learning. This model fails to account for the full complexity of how we acquire, store, and use knowledge. In the real world, knowledge is distributed across networks of people, tools, and systems. Technologies like computers, the internet, and media outlets provide real-time access to information, making it possible to interact with knowledge in new and more effective ways. This extended cognition theory suggests that our thinking and learning are distributed across bodies, tools, and environments. Memorizing facts in isolation ignores these crucial aspects of knowledge-making.

The Flaw of Knowledge-Rich Curricula

Proponents of a knowledge-rich curriculum argue that knowledge is fundamental and must be at the core of education. But this argument is circular. The claim that “knowledge is fundamental” does nothing to justify why a knowledge-heavy curriculum is necessary for critical thinking. It simply restates the conclusion without offering substantial evidence.

This reasoning is flawed because it assumes what it sets out to prove. For example, one could make equally valid (or invalid) arguments based on other “fundamental” concepts. Consider these alternative arguments:

  • Energy Flow Argument: “Energy is important because energy flow underpins all cognitive processes, including memory and learning.”
  • Neural Activity Argument: “Neurons firing is important because without neural activity, no learning or memory is possible.”

Both of these statements are true in their own right, but they do not provide any meaningful insight into how we should structure educational curricula. If we hold that knowledge is fundamental without explaining why, we only reinforce the bias toward traditional methods of teaching and testing.

The Limits of Memorization

We can’t memorize everything, nor should we try. The explosion of information in the modern world means that we can no longer be experts in every field. This is an issue of bounded rationality—the idea that our cognitive capacities are limited, and thus, it is unreasonable to expect anyone to possess encyclopedic knowledge. The modern world demands specialization, and there are far too many subjects and facts for any one person to master.

Attempts to measure learning through standardized tests are based on the false assumption that expertise is generalized and can be measured in the same way across all domains. For example, rising PISA scores in a wealthy country do not directly correlate with national success. Wealth, development, and human capital all contribute to a country’s educational outcomes, but they don’t necessarily reflect the effectiveness of the educational model itself.

The Arbitrary Selection of Content

The selection of content for educational curricula is often arbitrary and based on outdated models of expertise. This arbitrary selection is further compounded by the use of standardized tests as measures of knowledge. In the face of an exploding amount of available content, we need to rethink how and what we teach. Educational systems must move beyond a focus on rote memorization and toward fostering critical thinking, adaptability, and creativity—skills that are essential in a rapidly changing world.

Moving Beyond Knowledge-Rich Curricula

At what point will we stop emphasizing knowledge-rich curricula and begin focusing on developing learners who can find, use, and create knowledge on their own? Is it five years, ten years, or fifteen years? This question is vital because the traditional knowledge-based curriculum may soon no longer suffice in preparing students for the future.

Instead of just focusing on memorization, we should ask how we can develop learners who are equipped to navigate a complex world of emergent knowledge and who can leverage their cultural intelligence to adapt and innovate.

Competence Without Comprehension

One final argument to consider is the idea of competence without comprehension, as explored by philosophers like Daniel Dennett. This concept suggests that it is possible to perform tasks competently without fully understanding the underlying principles. In many ways, this mirrors the modern educational system, which often values technical proficiency and the ability to pass tests over deep comprehension.

By focusing on performance rather than comprehension, we may miss an essential part of human learning—the ability to think critically and understand the bigger picture. As we move forward, we must prioritize developing learners who are not only competent but also capable of comprehending and creating new knowledge in the world around them.

Conclusion

The true nature of human intelligence is not something fixed within individual brains, nor is it found in the memorization of facts for tests. It is a product of the cumulative cultural intelligence that we have built over centuries. As we rethink education, we must recognize the importance of distributed cognition and move beyond outdated models that prioritize rote memorization. Instead, we should focus on developing learners who are capable of navigating the complexities of the modern world, leveraging both personal and cultural intelligence to solve problems and drive innovation.

Continue Reading

Previous: The Science of Learning: How Feedback Shapes Learning Across Domains
Next: Understanding Surface, Deep, and Transfer Learning: Insights for Educators

Categories

Archives

  • September 2025
  • July 2025
  • June 2025
  • May 2025
  • April 2025
  • March 2025
  • February 2025
  • January 2025
  • December 2024
  • November 2024
  • October 2024
  • September 2024
  • August 2024
  • July 2024
  • June 2024
  • May 2024
  • April 2024
  • March 2024
  • February 2024
  • January 2024
  • December 2023
  • November 2023
  • October 2023
  • September 2023
  • August 2023
  • July 2023
  • June 2023
  • May 2023
  • April 2023
  • March 2023
  • February 2023
  • January 2023
  • December 2022
  • November 2022
  • October 2022
  • September 2022
  • August 2022
  • July 2022
  • June 2022
  • May 2022
  • April 2022
  • March 2022
  • February 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021
  • June 2021
  • May 2021
Copy Right © 2025–2026 Learning Science Digest (lsdigest.com). All rights reserved.

Copyright © 2025-2026 LsDigest.com

Copyright © 2025-2026 LsDigest.com | MoreNews by AF themes.