Video self-modelling as an intervention for remediating dysgraphia in children with autism spectrum disorders

Abstract

Abstract A severe deficit in handwriting is known as dysgraphia, a problem frequently associated with autism spectrum disorder (ASD). Video self-modelling (VSM) has been proven effective for children with ASD in the strengthening of social skills, verbalizations, and daily living skills. Because VSM has demonstrated success in the acquisition of many types of skills, it may prove similarly effective for remediating dysgraphia in children with ASD. Utilizing a single-subject design with three 7–8 year old children diagnosed with ASD, this study examined VSM as a treatment for improving handwriting legibility and proficiency. All participants’ legibility data showed a large effect sizes and high Percentages of non-overlapping data from baseline to treatment and maintenance phases, indicating that VSM is an effective treatment for improving and maintaining handwriting legibility in children with ASD. Results are discussed in terms of applicability of VSM as an intervention with academic skills deficits in children with ASD.