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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 ...
While the Technology Transfer process involves many activities, which can be represented in many ways, in reality, technology transfer is a fluid and dynamic process that rarely follows a linear course. [2] Typical steps include: Knowledge creation; Disclosure; Assessment and evaluation; IP protection; Fundraising and technology development ...
A Knowledge Transferring Assessment combines the knowledge assessment directly with the knowledge transfer. In this sense it is a specific form of an Online Assessment / E-assessment / Computer-based assessment implementing a "Pull Learning Approach". [ 1 ]
Near transfer occurs when many elements overlap between the conditions in which the learner obtained the knowledge or skill and the new situation. Far: Far transfer occurs when the new situation is very different from that in which learning occurred. Literal: Literal transfer occurs when performing the skill exactly as learned but in a new ...
Learning organizations use the active process of knowledge management to design organizational processes and systems that concretely facilitate knowledge creation, transfer, and retention. Organizational metacognition is used to refer to the processes by which the organization 'knows what it knows'.
Knowledge sharing is part of the knowledge management process. [4] Apart from traditional face-to-face knowledge sharing, social media is a good tool because it is convenient, efficient, and widely used. [5] Organizations have recognized that knowledge constitutes a valuable intangible asset for creating and sustaining competitive advantages. [6]
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.
Cumulative learning is the cognitive process by which we accumulate and improve knowledge and abilities that serve as building blocks for subsequent cognitive development. [1] A primary benefit of such is that it consolidates knowledge one has obtained through experience, and allows the facilitation of further learning through analogical ...