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Making All Children Count: Teach For All And The Universalizing Appeal Of Data, Daniel Friedrich, Mia Walter, Erica Eva Colmenares
Making All Children Count: Teach For All And The Universalizing Appeal Of Data, Daniel Friedrich, Mia Walter, Erica Eva Colmenares
Faculty Research, Scholarly, and Creative Activity
In this paper, we argue that in order to bind Teach For All’s universal/izing statement of problems and solutions to the specificities and the special conditions of member programs’ local contexts, what is needed is a shared set of discursive practices, a way of bringing together the commonalities found in each country while separating the noise of particular politics and histories. That common set of discursive practices is shaped around the notion of data. This paper is structured as follows: First, we contextualize Teach for All by (briefly) juxtaposing the universal and specific elements of the network, including the organization’s …
Learning Language In Autism: Maternal Linguistic Input Contributes To Later Vocabulary, Janet Bang, Aparna Nadig
Learning Language In Autism: Maternal Linguistic Input Contributes To Later Vocabulary, Janet Bang, Aparna Nadig
Faculty Research, Scholarly, and Creative Activity
It is well established that children with typical development (TYP) exposed to more maternal linguistic input develop larger vocabularies. We know relatively little about the linguistic environment available to children with autism spectrum disorders (ASD), and whether input contributes to their later vocabulary. Children with ASD or TYP and their mothers from English and French-speaking families engaged in a 10 min free-play interaction. To compare input, children were matched on language ability, sex, and maternal education (ASD n = 20, TYP n = 20). Input was transcribed, and the number of word tokens and types, lexical diversity (D), mean length …