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Connectionism attempts to model the cognitive language processing of the human brain, using computer architectures that make associations between elements of language, based on frequency of co-occurrence in the language input. [26] Frequency has been found to be a factor in various linguistic domains of language learning. [27]
Language learning involves formal instruction and, according to Krashen, is less effective than acquisition. [6] Learning in this sense is conception or conceptualisation: instead of learning a language itself, students learn an abstract, conceptual model of a language, a "theory" about a language (a grammar).
Appropedia is increasingly being used to as a method to enable service learning in language education. [29] [30] [31] Computer assisted language learning (CALL) [32] is a method that includes a combination of methods and techniques using the resources available on the internet, as well as a variety of language learning software.
This puts them in direct contrast with linguistic theories, which posit that language acquisition uses a unique process different from other types of learning. [ 30 ] [ 31 ] The dominant model in cognitive approaches to second-language acquisition, and indeed in all second-language acquisition research, is the computational model. [ 31 ]
Linguistics in education refers to a small but growing field of linguistics which advocates a greater use of linguistic theory and linguistic curriculum [clarify] in primary and secondary education. Background
In second-language acquisition, the acculturation model is a theory proposed by John Schumann to describe the acquisition process of a second language (L2) by members of ethnic minorities [1] that typically include immigrants, migrant workers, or the children of such groups. [2]
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]
Statistical learning theory suggests that, when learning language, a learner would use the natural statistical properties of language to deduce its structure, including sound patterns, words, and the beginnings of grammar. [46] That is, language learners are sensitive to how often syllable combinations or words occur in relation to other syllables.