Analyzing Autism Spectrum Disorder Behaviors Through Evidence-Based Educational Models in School Support Settings

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2022-05
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American English
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Abstract

Autism Spectrum Disorder (ASD) often presents with challenging behaviors that require structured, evidence-based educational strategies. This practicum focused on implementing and evaluating the HANDS in Autism® model across three collaborative school sites (Warsaw, Lakeview, and Gateway) to monitor and improve the use of evidence-based practices (EBPs) for managing problem behaviors among students with ASD. Data were collected using REDCap, cleaned and analyzed in R and Excel, and visualized to compare the proportion of students exhibiting problem behaviors across schools and visits. Results suggested variation in behavioral trends across school sites, with Warsaw showing higher proportions of students demonstrating problem behaviors during observed visits. The findings support the value of systematic monitoring and data-driven implementation of EBPs in improving behavioral outcomes and reducing the use of exclusionary discipline in autism support classrooms.

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Boligorla, S., Neal, T., Deodhar, A., & Swiezy, N. (2022). Analyzing Autism Spectrum Disorder Behaviors Through Evidence-Based Educational Models in School Support Settings. Presented at the Spring 2022 Poster Session, Luddy School of Informatics, Computing, and Engineering, Department of Biomedical Engineering and Informatics, Indiana University Indianapolis.
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