Children with specific language impairment (SLI), a spoken language impairment in the absence of any obvious causal factors, make up about 7% of the population and have substantially poorer long-term academic and social outcomes as compared to their peers. During the preschool years, deficits in acquisition and use of grammatical morphology and syntax are among the most commonly observed impairments. Current interventions for morphology and syntax have limited efficacy (Law et al., 2004). Enhanced language intervention techniques would improve the long-term positive outcomes for this population. This research grant draws on input-driven approaches to typical language learning, which propose that highly frequent examples help scaffold acquisition of grammatical constructions by providing a stable exemplar to facilitate linking the meaning of grammatical construction to the form. Similarly, theories of word learning and learning of artificial grammars suggest that using atypical exemplars may promote learning to a greater degree as compared to highly typical exemplars. The research program extends these theories to intervention by using computational modeling and behavioral methods for the purpose of examining the role of stimulus selection and presentation on intervention outcomes. Two early- efficacy studies will be carried out. One is focused on teaching children with SLI to use past tense using two different means of selecting verbs for use in intervention. The second is focused on teaching a novel morpheme to children with SLI and children with typical language using three different input distributions. The results of the behavioral studies will be linked to computational models enabling us to test input structures and means of selecting stimuli that go beyond what is feasible to examine behaviorally. This will make it possible to test hypotheses about what will improve interventions more efficiently than with traditional behavioral methods alone. The investigator has substantial experience working with children with SLI and assessing the use of grammatical morphology in children. However she lacks expertise in the areas of computational modeling, design of intervention studies, and communicating results to speech pathologists. The training component of this grant will ensure that the investigator is capable of using computational modeling techniques in concert with behavioral results to better understand how children learn. It will also enhance the investigator's ability to independently carry out intervention studies and communicate research results to practitioners. The University of Iowa is well known for work in the areas of specific language impairment and computational modeling and has a long history of clinically relevant research. Extant collaborations between researchers in psychology and communications disorders make this an ideal environment for this training to take place. The training opportunities will help the investigator launch an independent research career that investigates ways to improve remedi-ation of language disorders.

Public Health Relevance

Specific language impairment is an impairment in the use of language in the absence of any obvious causal disorders, that affects approximately 7% of the pop-ulation. Although the most well studied characteristics of the disorder are grammatical morphology impairments in preschoolers, the disorder affects language learning and use across the lifespan, leading to poorer academic and social outcomes. The proposed research will investigate new appro-aches to selecting and presenting stimuli during intervention to enhance the acquisition of grammatical morphemes by children with SLI and to help us to better understand the ways that these children learn in general.

National Institute of Health (NIH)
National Institute on Deafness and Other Communication Disorders (NIDCD)
Mentored Patient-Oriented Research Career Development Award (K23)
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Special Emphasis Panel (ZDC1-SRB-K (11))
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Sklare, Dan
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University of Iowa
Other Health Professions
Schools of Arts and Sciences
Iowa City
United States
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Owen Van Horne, Amanda J; Curran, Maura; Larson, Caroline et al. (2018) Effects of a Complexity-Based Approach on Generalization of Past Tense -ed and Related Morphemes. Lang Speech Hear Serv Sch 49:681-693
Van Horne, Amanda Jean Owen; Fey, Marc; Curran, Maura (2017) Do the Hard Things First: A Randomized Controlled Trial Testing the Effects of Exemplar Selection on Generalization Following Therapy for Grammatical Morphology. J Speech Lang Hear Res 60:2569-2588
Cleave, Patricia L; Becker, Stephanie D; Curran, Maura K et al. (2015) The efficacy of recasts in language intervention: a systematic review and meta-analysis. Am J Speech Lang Pathol 24:237-55
Owen Van Horne, Amanda J; Green Fager, Melanie (2015) Quantifying the relative contributions of lexical and phonological factors to regular past tense accuracy. Int J Speech Lang Pathol 17:605-616