By David Beech (eds.)

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Data collection includes scripts, types, aspects, relations, and attributes. Network of objects is created. Type of representation Network of objects (types, aspects, attributes). Subprocess in decision making and application Knowledge structures—schema, concept or categories, relationships. Knowledge type or nature Declarative or direct. Strengths None Limitations Experts must be comfortable in terms of objects. a a Converse and Kahler, 1992. Source: Riekert, 1991. 9 Ratings Analyzed by Multidimensional Scaling (MDS) (Method for Eliciting Declarative Knowledge) Description Expert rates similarity between concept pairs.

Learning the declarative knowledge helps set the stage for the procedural knowledge. Teaching students to use the facts and information they have gained in context helps ensure longterm retention. 1 lists some of the benefits of emphasizing declarative knowledge and procedural knowledge differences. 4 illustrates the connection of declarative and procedural knowledge. Procedural knowledge depends on having built the prior, or declarative, knowledge. 1 Declarative Knowledge and Procedural Knowledge Differences Declarative Knowledge Procedural Knowledge Reliant on authoritative instruction.

Knowledge type or nature Declarative or direct. a See Chapter 8. a Converse and Kahler, 1992. Source: Shadbolt and Burton, 1989. 8 Object Oriented Modeling (Software) (Method for Eliciting Declarative Knowledge) Description Expert fills in computer forms detailing objects and events. Data collection includes scripts, types, aspects, relations, and attributes. Network of objects is created. Type of representation Network of objects (types, aspects, attributes). Subprocess in decision making and application Knowledge structures—schema, concept or categories, relationships.

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Concepts in User Interfaces: A Reference Model for Command by David Beech (eds.)
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