Effects of Statistical Training on Children with Autism Spectrum Disorder

Summer 2016

Sulynn Miao : Psychology

Mentor: Fei Xu

My research project is a continuation of research already being done by the Berkeley Early Learning Lab that has sought to understand children with autism spectrum disorder's (ASD) abilities to make statistical inferences. This ability is important because it allows typically developing children to make generalizations about the world and learn, and if hindered in children with ASD, could have cascading consequences in learning and development. ASD is a disorder that the world still does not know much about, therefore research is of the utmost importance to help develop better treatments, interventions, understandings, and lives for children and adults with ASD. My project takes this a step further to test if children with ASD show differences in their abilities to make statistical inferences when given a brief skills training. The results could have important implications for the ways we think about and treat ASD.

To the Pergo Foundation, I want to express my gratitude for this opportunity to conduct research on a topic I am incredibly passionate about and really gain research experience. My research project aims to gain a better understanding autism spectrum disorder in children in order to develop more effective treatments and interventions for them. So far, dipping my feet in research has been a wonderful experience and I can't wait to take it further by developing my own research project and learning so much from this great responsibility and opportunity.