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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]
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]
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 ...
Since theory leads scientific inquiry, and scientific findings add to theory, DMM assessments contributed to more detailed theory. Maturational and changeable: DMM-attachment recognizes that humans are able to utilize more and more sophisticated self-protective attachment strategies as they age. Hence, attachment patterns can become ...
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"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]
Adaptive skills allow for safer exploration because they provide the learner with an increased awareness of their surroundings and of changes in context, that require new adaptive responses to meet the demands and dangers of that new context. Adaptive skills may generate more opportunities to engage in meaningful social interactions and acceptance.