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Individuals with autism spectrum disorder are differentially sensitive to interference from previous verbal feedback.

Phil Reed
Published in: Autism : the international journal of research and practice (2023)
Individuals with autism spectrum disorder can find behavioural flexibility challenging, often exhibited in terms of repetitive behaviours or restricted ranges of interests and activities. An inability to shift efficiently from one situation to another is connected with problems in daily life, and identifying factors associated with this ability may help develop teaching strategies to improve behavioural flexibility. Some existing findings imply shifting performance for individuals with autism spectrum disorder is better with nonverbal, compared to verbal, feedback - even for those with strong verbal abilities. Unfortunately, there are few behavioural examinations that further explore these findings, which is the aim of this study. In this study, 28 children with a diagnosis of autism spectrum disorder and 28 typically developing children matched on cognitive and verbal abilities learned to sort cards according to one out of a possible three dimensions (colour, shape and number), and then had to relearn the sorting rule. One group of typically developing children, and one group of autism spectrum disorder children, received verbal feedback on their performance, and one group received nonverbal feedback. Children with autism spectrum disorder learned an initial categorisation rule as fast as matched typically developing children, and there was little difference in the impact of the type of feedback on acquisition. However, on shifting the classification rule, children with autism spectrum disorder showed slower rates of learning the new rule, which was worse when verbal feedback was used compared to nonverbal feedback. This finding has implications for the interpretations of set-shifting performance and for classroom use of feedback strategies.
Keyphrases
  • working memory
  • autism spectrum disorder
  • young adults
  • attention deficit hyperactivity disorder
  • deep learning
  • high frequency