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Adaptive learning, also known as adaptive teaching, is an educational method which uses computer algorithms as well as artificial intelligence to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner. [1]
ACT-R (pronounced /ˌækt ˈɑr/; short for "Adaptive Control of Thought—Rational") is a cognitive architecture mainly developed by John Robert Anderson and Christian Lebiere at Carnegie Mellon University. Like any cognitive architecture, ACT-R aims to define the basic and irreducible cognitive and perceptual operations that enable the human ...
Adaptive expertise [3] [14] Adaptive expertise is the ability to apply knowledge and skills flexibly and innovatively in different situations. [15] [16] Unlike routine experts, who rely on well-practiced routines, [17] [18] adaptive experts can think critically and creatively, making them more effective in novel or complex scenarios. [19] 3 ...
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Adaptive and strategic function of behavior: Attachment behaviors and communication styles are developed through adaptation to danger and function to promote survival in a given relationship. Every DMM-attachment pattern involves both adaptive and maladaptive behaviors. A person using B3 "balanced" strategies may fail to predict danger or ...
Template learning: Once a resonance occurs, for each channel ck, the weight vector is modified according to a learning rule which moves it towards the input pattern. When an uncommitted node is selected for learning, it becomes committed and a new uncommitted node is added to the field. Fusion ART thus expands its network architecture ...
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An example of an adaptive algorithm in radar systems is the constant false alarm rate (CFAR) detector. In machine learning and optimization , many algorithms are adaptive or have adaptive variants, which usually means that the algorithm parameters such as learning rate are automatically adjusted according to statistics about the optimisation ...