- Browse by Subject
Browsing by Subject "School-Based Autism Interventions"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item HANDS in Autism: Collaborative sites(2024-04-13) Thurupu, Sai Varshitha; Neal, T; Deodhar, A; Swiezy, NThis Project implements evidence-based training modules in diverse school settings to enhance staff responsiveness to students with Autism Spectrum Disorder (ASD). This study focused on evaluating the impact of visual structure modules and reinforcement strategies using the Classroom-Wide Data Rating (C-WDR) method. Observations from North Webster Elementary and Lakeview Middle School showed that strategies such as 'Specific Praise' and 'Positive Attention' led to improved staff reactions to appropriate student behavior. Findings underscore the importance of continuous module refinement and targeted reinforcement techniques. Although limited by sample size, results suggest that structured training modules are effective tools in fostering inclusive, supportive educational environments.Item Improving education for students with autism spectrum disorder: HANDS in Autism training and user rating profile insights(2024-08) Sripathi, Surya Rao; Neal, Tiffany; Devarapalli, Baby Amulya; Swiezy, NaomiThis study evaluated the effectiveness of the HANDS in Autism® training program by analyzing pre- and post-training User Rating Profiles (URPs) completed by educators and school personnel. The training aimed to improve the implementation of evidence-based practices (EBPs) for students with Autism Spectrum Disorder (ASD). The analysis covered URP categories such as Time and Intensity, Attitude and Motivation, Knowledge and Understanding, Implementation Barriers, and Perceived Effectiveness. Post-training results showed improvements across most categories, suggesting a positive shift in perception, confidence, and application of EBPs. Findings support the importance of structured training programs in enhancing educational outcomes for students with ASD and provide insight into refining future training modules based on participant feedback.