DIKW Pyramid

AKA

Data Pyramid
DIKW Hierarchy
Information Hierarchy
Knowledge Hierarchy
Wisdom Hierarchy

Focus

Distinguishing among epistemological categories

Principal Metaphors

  • Knowledge is … information synthesized over time and across contexts
  • Knowing is … meaning
  • Learner is … information-using system
  • Learning is … state-changing event
  • Teaching is … varies, depending on focus

Originated

1990s

Synopsis

The DIKW Pyramid is a catch-all description of several models explicating the relationships among ...
  • Data (Raw Data) – uninterpreted symbols,DIKW Pyramid signals, unprocessed facts (e.g., counts, measurements, scores), unexamined images, unanalyzed recordings, etc.
  • Information – data rendered useful through being organized, categorized, summarized, or otherwise structured. Of note, special categories for different types of erroneous Information have become necessary:
    • Misinformation – inaccurate, unverified, or false Information
    • Disinformation ­– inaccurate, unverified, or false Information that is spread for malicious purposes
  • Knowledge – know-how, based on information synthesized over time and across contexts (A much more nuanced appreciation of popular meanings of Knowledge might be gleaned by searching the term in the Comprehensive Index. See also a more detailed definition on the Key Terms page. As well, see Deep vs. Surface Learning for some popular subcategories of Knowledge.)
  • Wisdom – know-why, grounded in situated understandings, historical perspectives, critical reflection, and other applied and connected knowledge (See also Wisdom (Sagacity; Sapience), under Well-Being Discourses.)
Most commonly characterized as a hierarchy (hence the pyramid), these relationships have also been described in terms of a chain, a framework, nested systems, networks, and a continuum. The DIKW Pyramid is invoked in many contexts and in many ways – for example, to distinguish between objective and subjective claims, mechanical and intelligent processes, and meaningless and meaningful actions.

Commentary

There are many, many variations of the concepts and distinctions addressed by the DIKW Pyramid. Variations in terminology, definition, and graphics reveal that imaginings of clear distinctions and logical hierarchies are obvious fictions – although, it would seem, not entirely un-useful, based on the resonance of the model with across so many audiences. To that end, recursive definitions of the levels out of Second-Order Cybernetics may render the model of greater use within education (e.g., data = differences; information = differences that make a difference; knowledge = awareness of differences that make a difference; wisdom = ethical action based on awareness of differences that make a difference). The following set of visual metaphors offers yet a different way to think about these categories: screenshot 2023 06 14 at 2.46.49 pm Additionally, several popular discourses foreground “wisdom” as a vital aspect of culture and a potential end of learning – including Constructive-Developmental Theory and many Well-Being Discourses.)  

Authors and/or Prominent Influences

Diffuse

Status as a Theory of Learning

The DIKW Pyramid is not a theory of learning, but it can serve to orient attentions to key elements necessary in a theory of learning. For example, it is useful for separating out perspectives that address only acquisition of information.

Status as a Theory of Teaching

The DIKW Pyramid is not a theory of teaching. However, it is a useful device for distinguishing among educational philosophies and the modes of teaching associated with those philosophies.

Status as a Scientific Theory

The DIKW Pyramid is a catch-all that meets none of our criteria of a scientific theory.

Subdiscourses:

  • Data (Raw Data)
  • Disinformation
  • Information
  • Knowledge
  • Misinformation
  • Wisdom (Sagacity; Sapience)

Map Location



Please cite this article as:
Davis, B., & Francis, K. (2023). “DIKW Pyramid” in Discourses on Learning in Education. https://learningdiscourses.com.


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