Title

Using Aided Aac Models, Recasts, And Contrastive Targets To Teach Grammatical Morphemes To Children Who Use Aac

Keywords

Aided AAC modeling; Augmentative and alternative communication (AAC); Discrimination learning; Grammatical morphology; Intervention; Recasts

Abstract

Purpose: The purpose of the investigation was to evaluate the effects of using aided augmentative and alternative communication (AAC) modeling and recasting on the expression of grammatical morphemes with children who used AAC. Method: A single-subject, multiple-probe, across-targets design was used for the study. Three participants were each taught to use 3 grammatical structures. Intervention consisted of aided AAC models and recasts during storybook reading tasks. Results: All three children readily began using the targeted grammatical morphemes. However, none of the participants maintained use of the first morpheme. Error analyses revealed that the children either omitted the targeted morpheme or replaced it with another morpheme. To address this issue, a second intervention phase was implemented for the targets that were not maintained. During this phase, various grammatical morphemes were contrasted with each other (e.g., past tense -ed vs. possessive 's). Following the second intervention phase, participants maintained all targets. Conclusions: Aided AAC models and recasts may be used as part of intervention packages designed to help children acquire production of grammatical morphemes; however, it is important to provide contrasts of grammatical forms to ensure acquisition. Theoretical and clinical implications are discussed. © American Speech-Language-Hearing Association.

Publication Date

2-1-2011

Publication Title

Journal of Speech, Language, and Hearing Research

Volume

54

Issue

1

Number of Pages

160-176

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1044/1092-4388(2010/09-0163)

Socpus ID

79551704917 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/79551704917

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