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  2. Transfer of learning - Wikipedia

    en.wikipedia.org/wiki/Transfer_of_learning

    Transfer of learning. Transfer of learning occurs when people apply information, strategies, and skills they have learned to a new situation or context. Transfer is not a discrete activity, but is rather an integral part of the learning process. Researchers attempt to identify when and how transfer occurs and to offer strategies to improve ...

  3. Generalization (learning) - Wikipedia

    en.wikipedia.org/wiki/Generalization_(learning)

    Generalization allows humans and animals to recognize the similarities in knowledge acquired in one circumstance, allowing for transfer of knowledge onto new situations. This idea rivals the theory of situated cognition, instead stating that one can apply past knowledge to learning in new situations and environments.

  4. Transfer of training - Wikipedia

    en.wikipedia.org/wiki/Transfer_of_training

    For example, after completing a safety course, transfer of training occurs when the employee uses learned safety behaviors in their work environment. [1] Theoretically, transfer of training is a specific application of the theory of transfer of learning that describes the positive, zero, or negative performance outcomes of a training program ...

  5. Charles Hubbard Judd - Wikipedia

    en.wikipedia.org/wiki/Charles_Hubbard_Judd

    Charles Hubbard Judd (February 20, 1873 – July 18, 1946) was an American educational psychologist who played an influential role in the formation of the discipline. Part of the larger scientific movement of this period, Judd pushed for the use of scientific methods to the understanding of education and, thus, wanted to limit the use of theory in the field.

  6. Vapnik–Chervonenkis theory - Wikipedia

    en.wikipedia.org/wiki/Vapnik–Chervonenkis_theory

    Machine learningand data mining. Vapnik–Chervonenkis theory (also known as VC theory) was developed during 1960–1990 by Vladimir Vapnik and Alexey Chervonenkis. The theory is a form of computational learning theory, which attempts to explain the learning process from a statistical point of view.

  7. Bias–variance tradeoff - Wikipedia

    en.wikipedia.org/wiki/Bias–variance_tradeoff

    In reinforcement learning. Even though the bias–variance decomposition does not directly apply in reinforcement learning, a similar tradeoff can also characterize generalization. When an agent has limited information on its environment, the suboptimality of an RL algorithm can be decomposed into the sum of two terms: a term related to an ...

  8. Domain-general learning - Wikipedia

    en.wikipedia.org/wiki/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 new information may be ...

  9. Piaget's theory of cognitive development - Wikipedia

    en.wikipedia.org/wiki/Piaget's_theory_of...

    Jean Piaget in Ann Arbor. Piaget's theory of cognitive development, or his genetic epistemology, is a comprehensive theory about the nature and development of human intelligence. It was originated by the Swiss developmental psychologist Jean Piaget (1896–1980). The theory deals with the nature of knowledge itself and how humans gradually come ...