Date of Completion
12-2-2014
Embargo Period
11-30-2016
Keywords
autism, video modeling, feeding disorders, selective feeding
Major Advisor
Dr. Thomas J. Kehle
Associate Advisor
Dr. Stephen Greenspan
Associate Advisor
Dr. Rachelle Perusse
Field of Study
Educational Psychology
Degree
Doctor of Philosophy
Open Access
Open Access
Abstract
Children with autism spectrum disorder have a higher incident of feeding problems as compared with typical children and children with other developmental delays, with the feeding problems more often identified as learned or behavioral. Research into the effectiveness of antecedent- and consequence-based behavioral strategies continue to grow, with most research conducted within clinical settings. As educators we strive for less restrictive and empirically validated interventions within more naturalistic settings. Despite the growing body of research as to the effectiveness of video modeling to affect change across a number of areas, research using video modeling is sparse with respect to food acceptance in children with autism spectrum disorder. The current study investigated the effectiveness of video self-modeling in promoting food acceptance in children with autism spectrum disorder in a school setting. A multiple baseline design across 3 children was employed to determine treatment effects. While data did not show a discernable intervention effect, findings highlight the need for continued research into the potential influences of family eating preferences, the impact of the characteristics of autism on early feeding experiences, such as, deficits in communication, inflexibility and rigidity, and motivation, on the development of learning histories. Further recommendations are made for earlier intervention to include parent training and support using a multi-disciplinary team approach.
Recommended Citation
Loughlin Rogers, Gail M., "Examining Video Self-Modeling in Promoting Food Acceptance in Children with Autism Spectrum Disorder in a School Setting" (2014). Doctoral Dissertations. 598.
https://digitalcommons.lib.uconn.edu/dissertations/598