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The adaptive control of thought model assumes a distinction between declarative knowledge, knowledge that is conscious and consists of facts, [2] and procedural knowledge, knowledge of how an activity is done. [3] [4] In this model, skill acquisition is seen as a progression from declarative to procedural knowledge. [4]
Implicit knowledge usually refers to knowledge acquired unconsciously and intuitively through meaningful exposure to and use of language, resembling the knowledge of a first language. On the other hand, explicit knowledge involves conscious understanding of grammatical rules and structures, primarily acquired through formal education and learning.
The strong-interface position views language learning much the same as any other kind of learning. In this view, all kinds of learning follow the same sequence, from declarative knowledge (explicit knowledge about the thing to be learned), to procedural knowledge (knowledge of how the thing is done), and finally to automatization of this procedural knowledge.
Procedural knowledge (i.e., knowledge-how) is different from descriptive knowledge (i.e., knowledge-that) in that it can be directly applied to a task. [2] [4] For instance, the procedural knowledge one uses to solve problems differs from the declarative knowledge one possesses about problem solving because this knowledge is formed by doing. [5]
These two forms of knowledge have been the subject of extensive debate among linguists, language teachers, and researchers seeking to understand how best to facilitate language learning. The debate touches on how each type of knowledge is acquired, how they interact, and the degree to which explicit instruction can foster implicit knowledge.
Processability Theory is now a mature theory of grammatical development of learners' interlanguage. It is cognitively founded (hence applicable to any language), formal and explicit (hence empirically testable), and extended, having not only formulated and tested hypotheses about morphology, syntax and discourse-pragmatics, but having also paved the way for further developments at the ...
The direct method operates on the idea that second language learning must be an imitation of first language learning, as this is the natural way humans learn any language: a child never relies on another language to learn its first language, and thus the mother tongue is not necessary to learn a foreign language. This method places great stress ...
ACT-R's most important assumption is that human knowledge can be divided into two irreducible kinds of representations: declarative and procedural. Within the ACT-R code, declarative knowledge is represented in the form of chunks, i.e. vector representations of individual properties, each of them accessible from a labelled slot.