Evidence map›Paper›PMID 34860559›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2022

Artificial Grammar Learning in Children With Developmental Language Disorder.

Jasmine Urquhart Gillis, Asiya Gul, Annie Fox, Aditi Parikh, Yael Arbel

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Jasmine Urquhart GillisDepartment of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, MA.
Asiya GulDepartment of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, MA.
Annie FoxDepartment of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, MA.
Aditi ParikhDepartment of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, MA.
Yael ArbelDepartment of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, MA.ORCID 0000-0002-5749-393X

Funding

Examining the impaired learning mechanism in children with developmental language disorderR01DC018295 · NIDCD · MGH INSTITUTE OF HEALTH PROFESSIONS · PI ARBEL, YAEL · 2020 to 2024
$1.8M
Feedback-based learning in children with Language ImpairmentR15DC016438 · NIDCD · MGH INSTITUTE OF HEALTH PROFESSIONS · PI ARBEL, YAEL · 2018 to 2018
$478k
NIDCD NIH HHS R01 DC018295NIDCD NIH HHS R15 DC016438
6 · The paper itself

Abstract

purposeThe purpose of the study was to evaluate implicit learning in children with developmental language disorder (DLD) by employing a visual artificial grammar learning task.

methodThirteen children with DLD and 24 children with typical language development between the ages of 8 and 12 years completed a visual artificial grammar learning task. During the training phase of the task, participants were presented with strings of shapes that followed the underlying structure of a finite grammar. During the testing phase, participants were asked to judge whether new strings were grammatical or nongrammatical. Grammatical judgment of new strings served to measure generalization of the underlying grammatical structure. Endorsement based on chunk strength, or similarity to training exemplars, served to evaluate the extent to which children relied on surface features to guide their task performance.

resultsAs a group, children with typical development performed better on the artificial grammar learning task, compared with children with DLD, and accepted more grammatical strings regardless of their similarity to training exemplars. Task performance in both groups was not affected by surface features. Performance of children with DLD whose test accuracy exceeded the learning threshold of 0.5 was consistent with a generalization of the underlying grammatical structure that was unaffected by surface features.

conclusionsThe study found group differences in learning outcomes between children with and without DLD. Consistent with previous reports, children with typical development correctly endorsed more grammatical strings than children with DLD, suggesting a better acquisition of the grammatical structure. However, there was no evidence to suggest that children in the DLD group (learners and nonlearners) relied on surface features (i.e., familiarity to training exemplars) in their grammatical judgment. These results refute our hypothesis that children in the DLD group would show judgment based on familiarity.

Indexed as

Language Development DisordersLearningChildHumansJudgmentLinguisticsRecognition, Psychology

Identifiers

PMID34860559
PMCPMC9150733

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.