This article introduces the Early Childhood Foundations Model for Self-Determination and provides a rationale for the need to consider the foundations of self-determination behavior that begin early in life. This model is based on the premise that young children with disabilities benefit from a collaborative partnership between important adults in the lives of children to provide a supportive, stimulating, and coordinated environment between inclusive classrooms and home settings. Within partnership, the Foundations Model establishes the proposition that the basic foundational skills for developing selfdetermination in later life require young children with disabilities to gain skills in (a) choice-making and problem solving, (b) self-regulation, and (c) engagement. In this position paper, the authors review literature related to these three foundational constructs and present a rationale for use of the Foundations Model as a guide to developing systematic interventions to start young students with disabilities on the road to building a foundation for self-determination.
The evidence‐centered design framework was used to create a special education teacher observation system, Recognizing Effective Special Education Teachers. Extensive reviews of research informed the domain analysis and modeling stages, and led to the conceptual framework in which effective special education teaching is operationalized as the ability to effectively implement evidence‐based practices for students with disabilities. In the assessment implementation stage, four raters evaluated 40 videos and provided evidence to support the scores assigned to teacher performances. An inductive approach was used to analyze the data and to create empirically derived, item‐level performance descriptors. In the assessment delivery stage, four different raters evaluated the same videos using the fully developed rubric. Many‐facet Rasch measurement analyses showed that the item, teacher, lesson, and rater facets achieved high psychometric quality. This process can be applied to other content areas to develop teacher observation systems that provide accurate evaluations and feedback to improve instructional practice.
In this study, we examined the relationship of special education teachers’ performance on the Recognizing Effective Special Education Teachers (RESET) Explicit Instruction observation protocol with student growth on academic measures. Special education teachers provided video-recorded observations of three instructional lessons along with data from standardized, curriculum-based academic measures at the beginning, middle, and end of the school year for the students in the instructional group. Teachers’ lessons were evaluated by external, trained raters. Data were analyzed using many-faceted Rasch measurement (MFRM), correlation, and multiple regression. Teacher performance on the overall protocol did not account for statistically significant variance in student growth beyond that of students’ beginning of the year academic performance. Teacher performance on an abbreviated protocol comprised of items that had average or higher item difficulties on the MFRM analysis accounted for an additional 4.5% of variance beyond that of beginning of the year student performance. Implications for further research are discussed.
This study describes the development and initial psychometric evaluation of the Recognizing Effective Special Education Teachers (RESET) observation instrument. The study uses generalizability theory to compare two versions of a rubric, one with general descriptors of performance levels and one with item-specific descriptors of performance levels, for evaluating special education teacher implementation of explicit instruction. Eight raters (four for each version of the rubric) viewed and scored videos of explicit instruction in intervention settings. The data from each rubric were analyzed with a four facet, crossed, mixed-model design to estimate the variance components and reliability indices. Results show lower unwanted sources of variance and higher reliability indices with the rubric with item-specific descriptors of performance levels. Contributions to the fields of intervention and teacher evaluation are discussed.
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