Biofeedback For Students Diagnosed As Having Autism Spectrum Disorder
Nancy Jean Aguinaga Ph.D. Dissertation, Doctor of Philosophy in Education, University of Central Florida, Orlando, Florida, 2003. Abstract Using a single-subject multiple baseline design across participants, this study examined the impact of computer-assisted biofeedback to promote engagement of students diagnosed as having autism spectrum disorder. The study was conducted in a public school classroom setting. Specifically the on-task behavior during an individualized academic activity was investigated. Three 9-10 year old children participated in the study. In the baseline phase, data was collected on speed to engagement and percentage of time on-task during an academic activity. A 15-second momentary time sampling procedure was used for a 5 minute session each day of the week for a five week period to measure the participant’s engagement. In the intervention phase, the participants completed a three to four minute computer-assisted biofeedback session prior to the academic activity and collection of data on engagement. In addition, data were collected on performance level of the academic activity. Data were also collected on educator and parent perception of generalization of self-regulation of behavior. The data suggest: (a) speed to engagement increased when using a computer-assisted biofeedback program for all participants; (b) time on-task improved over baseline conditions for all participants; (c) academic achievement was impacted by computer-assisted biofeedback for one participant; and (d) educators perceived a generalization of self-regulation of behavior, while parents did not indicate any generalization of self-regulation of behavior occurred in the home environment.
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