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Generalization is the concept that humans, other animals, and artificial neural networks use past learning in present situations of learning if the conditions in the situations are regarded as similar. [1] The learner uses generalized patterns, principles, and other similarities between past experiences and novel experiences to more efficiently ...
Learning that takes place in varying contexts can create more links and encourage generalization of the skill or knowledge. Connections between past learning and new learning can provide a context or framework for the new information, helping students to determine sense and meaning, and encouraging retention of the new information.
Little Albert experiment. The Little Albert experiment was a study that mid-20th century psychologists interpret as evidence of classical conditioning in humans. The study is also claimed to be an example of stimulus generalization although reading the research report shows that fear did not generalize by color or tactile qualities. [1]
Examples Biological generalization When the mind makes a generalization, it extracts the essence of a concept based on its analysis of similarities from many discrete objects. The resulting simplification enables higher-level thinking. An animal is a generalization of a mammal, a bird, a fish, an amphibian and a reptile.
Interpretative phenomenological analysis ( IPA) is a qualitative form of psychology research. IPA has an idiographic focus, which means that instead of producing generalization findings, it aims to offer insights into how a given person, in a given context, makes sense of a given situation. Usually, these situations are of personal significance ...
Inductive reasoning is any of various methods of reasoning in which broad generalizations or principles are derived from a body of observations. This article is concerned with the inductive reasoning other than deductive reasoning (such as mathematical induction), where the conclusion of a deductive argument is certain given the premises are correct; in contrast, the truth of the conclusion of ...
Domain-general learning. Domain-general learning theories of development suggest that humans are born with mechanisms in the brain that exist to support and guide learning on a broad level, regardless of the type of information being learned. [1] [2] [3] Domain-general learning theories also recognize that although learning different types of ...
The universal law of generalization is a theory of cognition stating that the probability of a response to one stimulus being generalized to another is a function of the “distance” between the two stimuli in a psychological space. It was introduced in 1987 by Roger N. Shepard, [1] [2] who began researching mechanisms of generalization while ...