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Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. [1] The ability to learn is possessed by humans, non-human animals, and some machines; there is also evidence for some kind of learning in certain plants. [2]
Image credits: ObjectiveAd6551 #2. TIL Using machine learning, researchers have been able to decode what fruit bats are saying--surprisingly, they mostly argue with one another.
Lessons learned techniques: techniques to learn from what has happened before and what could be done better the next time. [23] Mentoring: a way to share a wide range of knowledge from technical values to technical and operational skills. Via mentoring programs, it is possible to share tacit norms of behaviour and cultural values.
Knowledge is a form of familiarity, awareness, understanding, or acquaintance.It often involves the possession of information learned through experience [1] and can be understood as a cognitive success or an epistemic contact with reality, like making a discovery. [2]
Academic journal editors were banning unqualified FRIN statements as early as 1990, requiring more specific information such as what types of research were needed, and what questions they ought to address. [1] Researchers themselves have strongly recommended that research articles detail what research is needed. [8] [2] This is conventional in ...
The worked-example effect is a learning effect predicted by cognitive load theory. [1] [full citation needed] Specifically, it refers to improved learning observed when worked examples are used as part of instruction, compared to other instructional techniques such as problem-solving [2] [page needed] and discovery learning.
The term "curse of knowledge" was coined in a 1989 Journal of Political Economy article by economists Colin Camerer, George Loewenstein, and Martin Weber.The aim of their research was to counter the "conventional assumptions in such (economic) analyses of asymmetric information in that better-informed agents can accurately anticipate the judgement of less-informed agents".
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