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Knowledge Objects
, 1995
"... ion and encapsulation Abstraction is the principle of capturing useful information by ignoring all the detailed features of an entity that are not relevant to understanding what it does or what it is. Rather than trying KNOWLEDGE OBJECTS Informatica 3 to comprehend everything about the entity all ..."
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Cited by 29 (11 self)
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ion and encapsulation Abstraction is the principle of capturing useful information by ignoring all the detailed features of an entity that are not relevant to understanding what it does or what it is. Rather than trying KNOWLEDGE OBJECTS Informatica 3 to comprehend everything about the entity all
Knowledge objectives:
"... This is a graduate course on the design and analysis of algorithms, covering several advanced Topics not studied in typical introductory courses on algorithms. Course Objectives (Post-conditions) ..."
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This is a graduate course on the design and analysis of algorithms, covering several advanced Topics not studied in typical introductory courses on algorithms. Course Objectives (Post-conditions)
Knowledge Objectives?
"... Too often fully online learning may not be reputable… Problems of fully online? Who needs blended Learning? Those where there are diseases and outbreaks… ..."
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Too often fully online learning may not be reputable… Problems of fully online? Who needs blended Learning? Those where there are diseases and outbreaks…
KNOWLEDGE OBJECTIVES:
"... Upon completion, the participant will 1. state the purpose of performing a prehospital neuro exams. 2. identify five common chief complaints in patients experiencing neurological dysfunction. 3. explain the parameters to assess when obtaining a SAMPLE history on a neuro patient. 4. obtain a history ..."
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Upon completion, the participant will 1. state the purpose of performing a prehospital neuro exams. 2. identify five common chief complaints in patients experiencing neurological dysfunction. 3. explain the parameters to assess when obtaining a SAMPLE history on a neuro patient. 4. obtain a history of present illness using the OPQRST mnemonic. 5. sequence a mental status exam evaluating level of consciousness, affect, behavior, cognition, memory, and speech. 6. categorize causes of altered mental status using the mnemonic AEIOU TIPS. 7. differentiate delirium from dementia. 8. define coma. 9. measure a patient's responsiveness using the Glasgow Coma Scale. 10. identify the 12 pairs of cranial nerves and state one function of each. 11. explain the process of assessing the cranial nerves. 12. describe abnormal or pathological findings of a cranial nerve assessment. 13. test motor strength by observing motor drift. 14. assess cerebellar function by observing rapid alternative movements. 15. explain the process of testing superficial touch/sensation and pain using a broken cotton swab. 16. describe appropriate methods to apply deep pain. 17. state five components to evaluate in an unconscious patient. 18. compare and contrast early from late signs of increased intracranial pressure.
Knowledge Objects and Mental Models
- IN
, 2000
"... This paper describes knowledge components that are thought to be appropriate and sufficient to precisely describe certain types of cognitive subject matter content (knowledge). It also describes knowledge structures that show the relationships among these knowledge components and among other knowled ..."
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Cited by 22 (1 self)
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knowledge objects. It suggests that a knowledge structure is a form of schema such as those that learners use to represent knowledge in memory. A mental model is a schema plus cognitive processes for manipulating and modifying the knowledge stored in a schema. We suggested processes that enable learners
Toward Principles for the Design of Ontologies Used for Knowledge Sharing
- IN FORMAL ONTOLOGY IN CONCEPTUAL ANALYSIS AND KNOWLEDGE REPRESENTATION, KLUWER ACADEMIC PUBLISHERS, IN PRESS. SUBSTANTIAL REVISION OF PAPER PRESENTED AT THE INTERNATIONAL WORKSHOP ON FORMAL ONTOLOGY
, 1993
"... Recent work in Artificial Intelligence is exploring the use of formal ontologies as a way of specifying content-specific agreements for the sharing and reuse of knowledge among software entities. We take an engineering perspective on the development of such ontologies. Formal ontologies are viewed a ..."
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Cited by 2003 (3 self)
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as designed artifacts, formulated for specific purposes and evaluated against objective design criteria. We describe the role of ontologies in supporting knowledge sharing activities, and then present a set of criteria to guide the development of ontologies for these purposes. We show how these criteria
Classification in the KL-ONE knowledge representation system
- COGNITIVE SCIENCE
, 1985
"... KL-ONE lets one define and use a class of descriptive terms called Concepts, where each Concept denotes a set of objects A subsumption relation between Concepts is defined which is related to set inclusion by way of a semantics for Concepts. This subsumption relation defines a partial order on Conce ..."
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Cited by 673 (8 self)
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KL-ONE lets one define and use a class of descriptive terms called Concepts, where each Concept denotes a set of objects A subsumption relation between Concepts is defined which is related to set inclusion by way of a semantics for Concepts. This subsumption relation defines a partial order
From Data Mining to Knowledge Discovery in Databases.
- AI Magazine,
, 1996
"... ■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery in database ..."
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Cited by 538 (0 self)
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■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery
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