Artificial Grammar Learning in Children With Developmental Language Disorder

Author(s):  
Jasmine Urquhart Gillis ◽  
Asiya Gul ◽  
Annie Fox ◽  
Aditi Parikh ◽  
Yael Arbel

Purpose: The purpose of the study was to evaluate implicit learning in children with developmental language disorder (DLD) by employing a visual artificial grammar learning task. Method: Thirteen 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. Results: As 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. Conclusions: The 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.

2012 ◽  
Vol 16 (2) ◽  
pp. 165-175 ◽  
Author(s):  
Caroline A. A. van Heijningen ◽  
Jiani Chen ◽  
Irene van Laatum ◽  
Bonnie van der Hulst ◽  
Carel ten Cate

2009 ◽  
Vol 20 (9) ◽  
pp. 1125-1131 ◽  
Author(s):  
Travis Proulx ◽  
Steven J. Heine

In the current studies, we tested the prediction that learning of novel patterns of association would be enhanced in response to unrelated meaning threats. This prediction derives from the meaning-maintenance model, which hypothesizes that meaning-maintenance efforts may recruit patterns of association unrelated to the original meaning threat. Compared with participants in control conditions, participants exposed to either of two unrelated meaning threats (i.e., reading an absurd short story by Franz Kafka or arguing against one's own self-unity) demonstrated both a heightened motivation to perceive the presence of patterns within letter strings and enhanced learning of a novel pattern actually embedded within letter strings (artificial-grammar learning task). These results suggest that the cognitive mechanisms responsible for implicitly learning patterns are enhanced by the presence of a meaning threat.


2020 ◽  
Vol 80 ◽  
pp. 102919 ◽  
Author(s):  
Luis Jiménez ◽  
Helena Mendes Oliveira ◽  
Ana Paula Soares

2012 ◽  
Vol 21 (3) ◽  
pp. 1141-1153 ◽  
Author(s):  
Michał Wierzchoń ◽  
Dariusz Asanowicz ◽  
Borysław Paulewicz ◽  
Axel Cleeremans

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