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The formal discipline (or mental discipline) approach to learning believed that specific mental faculties could be strengthened by particular courses of training and that these strengthened faculties transferred to other situations, based on faculty psychology which viewed the mind as a collection of separate modules or faculties assigned to various mental tasks.
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] For example, for image classification , knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.
Transfer of learning is the idea that what one learns in school somehow carries over to situations different from that particular time and that particular setting. [17] Transfer was amongst the first phenomena tested in educational psychology. Edward Lee Thorndike was a pioneer in transfer research.
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. [2] The positive transfer of training-- the increase in job performance attributed to training-- has become the goal of many organizations.
In more recent research with contributions from Hal Pashler, Henry Roediger and many others, testing knowledge can produce better learning, [17] [18] [19] transfer, [20] and retrieval [21] results when compared to other forms of study [18] that often use recognition [22] like re-reading [23] or highlighting.
Translatio studii (Latin for "transfer of learning") is a historiographical concept which originated in the Middle Ages [1] in which history is viewed as a linear succession of transfers of knowledge or learning from one geographical place and time to another.
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Generalization is understood to be directly tied to the transfer of knowledge across multiple situations. [3] The knowledge to be transferred is often referred to as abstractions, because the learner abstracts a rule or pattern of characteristics from previous experiences with similar stimuli. [2]