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Презентация на тему Understanding Knowledge

OverviewDefinitionsCognitionExpert KnowledgeHuman Thinking and LearningImplications for Management
Understanding  Knowledge OverviewDefinitionsCognitionExpert KnowledgeHuman Thinking and LearningImplications for Management DefinitionsKnowledge: Understanding gained through experience or study “know-how”Intelligence: Capacity to acquire and DefinitionsLearning: Knowledge acquired by instruction or study; consequence of intelligent problem solvingExperience: Data, Information, and KnowledgeData: Unorganized and unprocessed facts; static; a set of Data, Information, and KnowledgeData is a set of discrete facts about eventsInformation Types of KnowledgeShallow (readily recalled) and deep (acquired through years of experience)Explicit Knowledge as Know-HowKnow-how distinguishes an expert from a noviceExperts represent their know-how Reasoning and HeuristicsHumans reason in a variety of ways:Reasoning by analogy: relating Deductive and inductive reasoningDeductive reasoning: exact reasoning. It deals with exact facts FROM PROCEDURAL TO EPISODIC EXPLICIT AND TACIT KNOWLEDGEExplicit knowledge: knowledge codified and digitized in books, documents, Knowledge As An Attribute of ExpertiseAn expert in a specialized area masters Human LearningLearning occurs in one of three ways:Learning by experience: a function
Слайды презентации

Слайд 2 Overview
Definitions
Cognition
Expert Knowledge
Human Thinking and Learning
Implications for Management

OverviewDefinitionsCognitionExpert KnowledgeHuman Thinking and LearningImplications for Management

Слайд 3 Definitions
Knowledge: Understanding gained through experience or study “know-how”
Intelligence:

DefinitionsKnowledge: Understanding gained through experience or study “know-how”Intelligence: Capacity to acquire

Capacity to acquire and apply knowledge; thinking and reasoning;

ability to understand and use language
Memory: Ability to store and retrieve relevant experience at will; part of intelligence


Слайд 4 Definitions
Learning: Knowledge acquired by instruction or study; consequence

DefinitionsLearning: Knowledge acquired by instruction or study; consequence of intelligent problem

of intelligent problem solving
Experience: Relates to what we’ve done

and to knowledge; experience leads to expertise
Common Sense: Unreflective opinions of ordinary people
Heuristic: A rule of thumb based on years of experience

Слайд 5 Data, Information, and Knowledge
Data: Unorganized and unprocessed facts;

Data, Information, and KnowledgeData: Unorganized and unprocessed facts; static; a set

static; a set of discrete facts about events
Information: Aggregation

of data that makes decision making easier
Knowledge is derived from information in the same way information is derived from data; it is a person’s range of information

Слайд 7 Data, Information, and Knowledge
Data is a set of

Data, Information, and KnowledgeData is a set of discrete facts about

discrete facts about events
Information becomes knowledge with questions like

“what implications does this information have for my final decision?”
Knowledge is understanding of information based on its perceived importance
Knowledge, not information, can lead to a competitive advantage in business

Слайд 8 Types of Knowledge
Shallow (readily recalled) and deep (acquired

Types of KnowledgeShallow (readily recalled) and deep (acquired through years of

through years of experience)
Explicit (codified) and tacit (embedded in

the mind)
Procedural (psychomotor skills) versus episodical (chunked by episodes; autobiographical)
Chunking knowledge

Слайд 9 Knowledge as Know-How
Know-how distinguishes an expert from a

Knowledge as Know-HowKnow-how distinguishes an expert from a noviceExperts represent their

novice
Experts represent their know-how in terms of heuristics, based

on experience
Know-how is not book knowledge; it is practical experience

Слайд 10 Reasoning and Heuristics
Humans reason in a variety of

Reasoning and HeuristicsHumans reason in a variety of ways:Reasoning by analogy:

ways:
Reasoning by analogy: relating one concept to another
Formal reasoning:

using deductive or inductive methods
Case-based reasoning: reasoning from relevant past cases

Слайд 11 Deductive and inductive reasoning
Deductive reasoning: exact reasoning. It

Deductive and inductive reasoningDeductive reasoning: exact reasoning. It deals with exact

deals with exact facts and exact conclusions
Inductive reasoning: reasoning

from a set of facts or individual cases to a general conclusion


Слайд 12

FROM PROCEDURAL TO EPISODIC KNOWLEDGEShallow

FROM PROCEDURAL TO EPISODIC KNOWLEDGE
Shallow

Procedural Knowledge
Knowledge
Knowledge of how to do a task that is essentially motor in
nature; the same knowledge is used over and over again.
_______________________________________________
  Declarative Knowledge
  Surface-type information that is available in short-term
memory and easily verbalized; useful in early stages
of knowledge capture but less so in later stages.
_______________________________________________
Semantic Knowledge
  Hierarchically organized knowledge of concepts, facts,
and relationships among facts.
_______________________________________________
  Episodic Knowledge
  Knowledge that is organized by temporal spatial means,
not by concepts or relations; experiential information that
is chunked by episodes. This knowledge is highly compiled
Deep and autobiographical and is not easy to extract or capture.
Knowledge


Слайд 13 EXPLICIT AND TACIT KNOWLEDGE
Explicit knowledge: knowledge codified and

EXPLICIT AND TACIT KNOWLEDGEExplicit knowledge: knowledge codified and digitized in books,

digitized in books, documents, reports, memos, etc.
Tacit knowledge: knowledge

embedded in the human mind through experience and jobs
Tacit and explicit knowledge have been expressed in terms of knowing-how and knowing-that, respectively
Understanding what knowledge is makes it easier to understand that knowledge hoarding is basic to human nature.

Слайд 14 Knowledge As An Attribute of Expertise
An expert in

Knowledge As An Attribute of ExpertiseAn expert in a specialized area

a specialized area masters the requisite knowledge
The unique performance

of a knowledgeable expert is clearly noticeable in decision-making quality
Knowledgeable experts are more selective in the information they acquire
Experts are beneficiaries of the knowledge that comes from experience
See Figure 2.5 next: academic knowledge contributes to conceptual knowledge—a prerequisite for practical knowledge

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