41 |
Longitudinal trajectories of peer relations in children with specific language impairment
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42 |
Turn off or tune in? What advice can SLTs, educational psychologists and teachers provide about uses of new media and children with language impairments?
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43 |
Associations of HLA alleles with specific language impairment
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44 |
Increased prevalence of sex chromosome aneuploidies in specific language impairment and dyslexia
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46 |
Increased prevalence of sex chromosome aneuploidies in specific language impairment and dyslexia
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47 |
Severity of specific language impairment predicts delayed development in number skills
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48 |
Memory and Language in Middle Childhood in Individuals with a History of Specific Language Impairment
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49 |
Severity of specific language impairment predicts delayed development in number skills
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50 |
Adolescents with a history of specific language impairment (SLI) : strengths and difficulties in social, emotional and behavioral functioning
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52 |
Language development and assessment in the preschool period
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53 |
The messages they send: e-mail use by adolescents with and without a historyof specific language impairment (SLI)
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54 |
Working, declarative and procedural memory in specific language impairment
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55 |
Working, declarative and procedural memory in specific language impairment
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56 |
Frequency of Educational Computer Use as a Longitudinal Predictor of Educational Outcome in Young People with Specific Language Impairment
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Abstract:
Computer use draws on linguistic abilities. Using this medium thus presents challenges for young people with Specific Language Impairment (SLI) and raises questions of whether computer-based tasks are appropriate for them. We consider theoretical arguments predicting impaired performance and negative outcomes relative to peers without SLI versus the possibility of positive gains. We examine the relationship between frequency of computer use (for leisure and educational purposes) and educational achievement; in particular examination performance at the end of compulsory education and level of educational progress two years later. Participants were 49 young people with SLI and 56 typically developing (TD) young people. At around age 17, the two groups did not differ in frequency of educational computer use or leisure computer use. There were no associations between computer use and educational outcomes in the TD group. In the SLI group, after PIQ was controlled for, educational computer use at around 17 years of age contributed substantially to the prediction of educational progress at 19 years. The findings suggest that educational uses of computers are conducive to educational progress in young people with SLI.
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Keyword:
Research Article
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531432 http://www.ncbi.nlm.nih.gov/pubmed/23300610 https://doi.org/10.1371/journal.pone.0052194
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57 |
Frequency of educational computer use as a longitudinal predictor of educational outcomes in young people with specific language impairment
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60 |
The PTT-20: UK normative data for 5- to 11-year-olds on a 20-item past-tense task
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