Browsing by Subject "Educational Program Evaluation"

Now showing 1 - 2 of 2
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    Enhancing Functional Outcomes for Students with Autism through Evidence-Based Education Models
    (2023) Shukla, Vaishnavi; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    This practicum focused on evaluating the impact of the HANDS in Autism® Model across three educational settings through data-driven observation and collaboration. The project centered on the analysis of survey data collected using REDCap and visualized through Excel to assess the implementation fidelity of Evidence-Based Practices (EBPs) and their effect on functional behavior in students with Autism Spectrum Disorder (ASD). The Module-Based Rubric and Classroom-Wide Data Rating (C-WDR) method were used to quantify and track instructional techniques, behavioral outcomes, and staff performance. The practicum outcomes emphasized increased functional communication and reduced problem behavior in students when EBPs were implemented with fidelity. Additionally, the project cultivated skills in data collection, visualization, and collaborative evaluation in real-world educational environments.
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    Evaluating Evidence-Based Educational Practices for Students with Autism Spectrum Disorder in School Settings
    (2022-12-09) Ayyam, Vamshi Krishna; Neal, Tiffany; Swiezy, Naomi
    Autism Spectrum Disorder (ASD) requires the implementation of structured, evidence-based practices (EBPs) to support student success in school environments. This practicum at HANDS in Autism® focused on evaluating the presence and fidelity of core EBP components within classrooms using the School WORK™ framework. The five essential domains—Program Design, Assessment, Environmental Control, Teaching, and Behavior Intervention- served as the foundation for data collection and analysis. Data were entered from various classroom-based measures into Excel and REDCap, harmonized using R programming, and prepared for outcome-based analysis. The practicum provided hands-on experience in literature review, healthcare data entry, data harmonization, and behavioral data analysis, strengthening both technical and professional skills. Results from this effort support the use of structured assessment tools in guiding school teams to identify strengths and gaps, and in driving targeted interventions for students with ASD.