Difference between revisions of "Knowledge model"
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File:TIE.png|Fig.3. Tacit,implicit,explicit knowledge model | File:TIE.png|Fig.3. Tacit,implicit,explicit knowledge model | ||
File:TINC.png|Fig.4. Tacit,implicit, non-codified explicit,codified explicit knowledge model | File:TINC.png|Fig.4. Tacit,implicit, non-codified explicit,codified explicit knowledge model | ||
− | File:ExplicitImplicitTacit.PNG| Fig | + | File:ExplicitImplicitTacit.PNG| Fig 5a . Explicit, implicit and tacit knowledge |
+ | File:EIUEDE.png| Fig 5b . Document and undocumented explicit, implicit and tacit knowledge | ||
File:APAP.png|Fig.6. A priori, a posteriori knowledge model | File:APAP.png|Fig.6. A priori, a posteriori knowledge model | ||
File:WWW.png|Fig.7. Know-why,know-how,know-what knowledge model | File:WWW.png|Fig.7. Know-why,know-how,know-what knowledge model |
Revision as of 14:46, 10 January 2014
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Definition
Knowledge model is A representation of knowledge used to understand and communicate an aspect of knowledge in the real world.
Summary
A knowledge model describes some aspects of knowledge KM for the purposes of understanding and communication.
Description
There are a number of models which are commonly used in describing knowledge. The models emphasise different elements of knowledge and represent them at different levels of complexity.
In the same way that an automotive vehicle may be described in terms of many dimensions such as:
- Materials: Metal, Rubber, Glass etc.
- Components: Wheels, Engine, Passenger compartment, etc.
- Colours : Black, Red, Grey etc.
So also can Knowledge be described in terms of a number of different dimensions such as:
- Domains – technical, organisational, societal etc.
- States – Explicit, implicit, tacit etc.
- Levels – Know-why, know-how, know-what etc.
- Representations – Documents, models, pictures etc.
- Categories – Good practices, lessons, standards etc.
- Artefacts – Buildings, tools, equipment, etc.
Some models illustrate only the major components of knowledge, others also illustrate systems, subsystems and even processes. This article describes some of those that have been used in IAEA publications in an ascending order of complexity.
The models can be classified into three major groups.
- Component models: where knowledge is described as being composed of two or more parts
- Know-how, know-why models: that list commonly asked questions that a knowledgeable person should be able to answer
- Heirarchical models: where knowledge can be processed into different types with increasing rarity, value and quality
- Subjugated models: where the definition of knowledge is narrowed and described as a subset of something more significant
Component models
Tacit, explicit knowledge model
This is similar to the Iceberg model of knowledge and is a popular representation of the relationship between explicit and tacit knowledge (the implict knowledge is subsumed under tacit knowledge, a simplification often found in the literature).
Tacit,implicit,explicit knowledge model
Tacit,implicit,non-codified explicit,codified explicit knowledge model
explicit, implicit and tacit. The top half of the diamond represents explicit knowledge — or conscious level knowledge — which has either already been codified or could be codified. The bottom half of the diamond represents unconscious knowledge — both implicit knowledge and tacit knowledge. The former can be codified if brought to the conscious level. However, the latter cannot be codified directly because it is at the deep-unconscious level.
A priori, a posteriori knowledge model
A priori knowledge is independent of experience. Comparable to Theoretical knowledge.
A posteriori knowledge is dependent on experience or empirical evidence. Comparable to Practical knowledge.
Know-how, Know-why models
Know-why,know-how,know-what knowledge model
Know-why,know-how,know-what,know-who,know-when,know-where knowledge model
Domains knowledge model
Heirarchical models
Data, information, knowledge model
Raw data become information in the context of creation, information becomes knowledge in the context of use, meaning that a human agent with the appropriate background is required.
Data, information, knowledge, wisdom model
Raw data become information in the context of creation, information becomes knowledge in the context of use, meaning that a human agent with the appropriate background is required. Knowledge may eventually lead to wisdom.
Best practice, good practice, practice knowledge model
Know-why,know-how,know-what knowledge model
Skills and Subjugated models
Declarative, procedural knowledge
Competency,knowledge, skills, attitude knowledge model
References
[1]