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Learning through Feature Prediction: An Initial Investigation into Teaching Categories to Children with Autism through Predicting Missing Features
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Sweller, Naomi – International Journal of Disability, Development and Education, 2015
Individuals with autism have difficulty generalising information from one situation to another, a process that requires the learning of categories and concepts. Category information may be learned through: (1) classifying items into categories, or (2) predicting missing features of category items. Predicting missing features has to this point been…
Descriptors: Autism, Teaching Methods, Prediction, Classification
The Cognitive and Neural Basis of Language Learning: Investigations in Typical and Autistic Populations
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Johnson, Matt A. – ProQuest LLC, 2013
This dissertation will focus on the processing and learning of abstract, phrasal argument structure constructions. Chapter 1 provides the theoretical framework for abstract constructions, and illustrates the importance of such representations in speakers' linguistic knowledge. Chapter 2 reviews the evidence for meaning being associated with…
Descriptors: Autism, Prediction, Language Acquisition, Brain Hemisphere Functions
A Neural Network Approach to the Classification of Autism.
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Cohen, Ira L.; And Others – Journal of Autism and Developmental Disorders, 1993
Neural network technology was compared with simultaneous and stepwise linear discriminant analysis in terms of their ability to classify and predict persons (n=138) as having autism or mental retardation. The neural network methodology was superior in both classifying groups and in generalizing to new cases that were not part of the training…
Descriptors: Autism, Classification, Generalization, Handicap Identification