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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 transfer.
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.
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.
Individual learning is the first level in OL. Transfer process to OL is synthesized by "what people learn (know-what) and how they understand and apply this learning (know-how). [100] While learning is the know-how, memory could be perceived as a storage area. Memory plays an active role in a learning process.
Knowledge transfer icon from The Noun Project. Knowledge transfer refers to transferring an awareness of facts or practical skills from one entity to another. [1] The particular profile of transfer processes activated for a given situation depends on (a) the type of knowledge to be transferred and how it is represented (the source and recipient relationship with this knowledge) and (b) the ...
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]
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Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained.