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Concept learning, also known as category learning, concept attainment, and concept formation, is defined by Bruner, Goodnow, & Austin (1956) as "the search for and testing of attributes that can be used to distinguish exemplars from non exemplars of various categories". More simply put, concepts are the mental categories that help us classify objects…
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Explore the main themes, entities and connections around Concept learning. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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concept learning concepts theory examples example abstract one doi models human based attributes features concrete also theories attainment category two
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Concept learning | is a | strategy which requires a learner to compare and contrast groups or categories that contain concept-relevant features with groups or categories that do not contain concept-relev… | 0.90 | text |
| Concept learning | is a | generalized context model | 0.90 | text |
| Concept learning | is a | ACT-R model | 0.90 | text |
| a schema | instance of | and students were able to create their own version to help them learn the directions.Complex conceptsConstructs | 0.80 | text |
| a script are examples of complex concepts | instance of | and students were able to create their own version to help them learn the directions.Complex conceptsConstructs | 0.80 | text |
| a schema | instance of | Complex conceptsConstructs | 0.80 | text |
| a script are examples of complex concepts | instance of | Complex conceptsConstructs | 0.80 | text |
| George Miller's Wordnet | instance of | Neural network models of concept formation and the structure of knowledge have opened powerful hierarchical models of knowledge organization | 0.80 | text |
| if | instance of | Neural networks also are open to neuroscience and psychophysiological models of learning following Karl Lashley and Donald Hebb.Rule-basedRule-based theories of concept learning… | 0.80 | text |
| if | instance of | Rule-basedRule-based theories of concept learning began with cognitive psychology and early computer models of learning that might be implemented in a high level computer langua… | 0.80 | text |
| Concept learning | related to Bayesian | Taking | 0.60 | section |
| Concept learning | related to Bayesian | Bayesian | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.