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What is factual in knowledge dimension?

Published in Knowledge Types 2 mins read


Factual knowledge in the knowledge dimension encompasses the fundamental, discrete pieces of information that serve as a foundation for learning.

According to the provided reference, **Factual knowledge includes terms, locations, and other listable knowledge.** This type of knowledge is considered foundational because it **often serves as a base for more advanced knowledge**.

## Understanding Factual Knowledge

At its core, factual knowledge is about knowing specific, verifiable details. It's the kind of information you might memorize or look up.

Examples highlighted in the reference include:

*   **Terms:** Understanding the definition of specific words or vocabulary relevant to a subject.
*   **Locations:** Knowing geographical places, addresses, or specific positions.
*   **Other listable knowledge:** Any information that can be easily organized into lists, such as dates, names, events, or specific properties.

## The Role of Factual Knowledge

The reference points out that this basic knowledge is crucial because it acts as the building blocks for more complex understanding. Before someone can grasp a theory (conceptual knowledge), they often need to know the key terms and facts related to it.

Think of it like learning a language: you need to know the vocabulary (terms - factual) before you can understand grammar (conceptual) or write a story (procedural).

## Factual vs. Conceptual Knowledge (Based on Reference)

The reference briefly contrasts factual with conceptual knowledge:

| Knowledge Type | Description (Based on Reference)                     |
| :------------- | :--------------------------------------------------- |
| Factual        | Includes terms, locations, and other listable knowledge. |
| Conceptual     | Includes ways of organizing information and ideas, including knowledge of theories and principles. |

In essence, factual knowledge is the 'what,' providing the raw data, while conceptual knowledge is the 'how' and 'why,' offering structure and understanding to that data.