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Browsing by Subject "Classroom Environment Optimization"
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Item Enhancing evidence-based practices in educational settings serving students with autism spectrum disorder: A collaborative study of the HANDS in Autism® Model in community classroom settings.(2023-11) Pittala, Venkataramana; Neal, Tiffany; Deodhar, Aditi; Thumu, Mrudhula; Swiezy, NaomiThe collaborative initiative between HANDS in Autism® and school districts focuses on elevating evidence-based practices (EBPs) in educational settings supporting students with autism spectrum disorder (ASD). Training within sites is informed by the HANDS in Autism® Model, a comprehensive module-based training curriculum, framework, and process covering areas such as Environmental Control, Assessment, Goal Setting, Teaching, and Generalization. Module advancement hinges on demonstrating mastery of prior content. This project aims to successively enhance educational team members' application and understanding of evidence-based practices (EBPs) and refine precision of EBP implementation. Ongoing data is collected via Module-Based Rubrics (MBRs), appraising EBP implementation through observed behaviors aligned with each module. A Likert-style rating is used for scoring with a range from 0 (Not Present) to 4 (Fully Present). Preliminary subsample results indicate, that in the initial academic year, a rural Midwest-based middle school location displayed the highest average scores whereas a comparable high school setting consistently demonstrated superior strategy implementation across modules over the 3-year period when contrasted with other educational settings. Furthermore, in subsequent years, both settings surpassed a comparison group (i.e., a rural elementary school) across modules. The project showcases the potential for effective EBP implementation over years using the systematic approach hallmark to the HANDS in Autism® Model. Future plans encompass integration of data analysis to compare school years and sites for comprehensive insights on the influence of implementation on student outcomes. Subsequent steps involve validating trends to inform individual approaches to maximize implementation outcomes based on site characteristics.