Difference between revisions of "Feature validity"
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[[Category:Glossary]] | [[Category:Glossary]] | ||
[[Category:Coordinative Learning]] | [[Category:Coordinative Learning]] | ||
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| + | The feature validity of a [[knowledge component]] measures how well the [[features]] associated with the mental representation of the knowledge component match the features present during all situations where the component should be recalled. | ||
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| + | A student has acquired a knowledge component (KC) with high feature validity when the retrieval features of that knowledge component are all relevant and none are irrelevant. Through the learning process of [[refinement]] a learner may modify an existing KC to produce a new one with higher feature validity. | ||
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Feature validity is a generalization of the standard concept of cue validity. Cues are usually understood to be perceptual or at least rapidly computed (MacWhinney & Bates, 1989). The term “features” includes cues as well as higher level properties, such as those used by experts but not novices (Chi, Glaser & Feltovitch, 1981). | Feature validity is a generalization of the standard concept of cue validity. Cues are usually understood to be perceptual or at least rapidly computed (MacWhinney & Bates, 1989). The term “features” includes cues as well as higher level properties, such as those used by experts but not novices (Chi, Glaser & Feltovitch, 1981). | ||
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See the Booth page in Coordinative Learning for one example. | See the Booth page in Coordinative Learning for one example. | ||
Revision as of 22:59, 1 June 2007
The feature validity of a knowledge component measures how well the features associated with the mental representation of the knowledge component match the features present during all situations where the component should be recalled.
A student has acquired a knowledge component (KC) with high feature validity when the retrieval features of that knowledge component are all relevant and none are irrelevant. Through the learning process of refinement a learner may modify an existing KC to produce a new one with higher feature validity.
Feature validity is a generalization of the standard concept of cue validity. Cues are usually understood to be perceptual or at least rapidly computed (MacWhinney & Bates, 1989). The term “features” includes cues as well as higher level properties, such as those used by experts but not novices (Chi, Glaser & Feltovitch, 1981).
See the Booth page in Coordinative Learning for one example.
