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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]
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 ...
These theories conceive of second-language acquisition as being learned in the same way as any other skill, such as learning to drive a car or play the piano. That is, they see practice as the key ingredient of language acquisition. The most well-known of these theories is based on John Anderson's adaptive control of thought model. [1]
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Collaborative learning is a group-based learning approach in which learners are mutually engaged in a coordinated fashion to achieve a learning goal or complete a learning task. With recent developments in smartphone technology, the processing powers and storage capabilities of modern mobiles allow for advanced development and the use of apps.
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 ...
"Adaptive reasoning refers to the capacity to think logically about the relationships among concepts and situations and to justify and ultimately prove the correctness of a mathematical procedure or assertion. Adaptive reasoning also includes reasoning based on pattern, analogy or metaphor." [1]