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Format: Presentations
Building an Effective SSIP Evaluation TeamThe presentation offers guidance on assembling a team that is well equipped to complete the kind of evaluation states envision for their SSIP, including the types of skills and knowledge states will need represented on their evaluation teams. Helpful handouts are provided, including Guidelines for Working with Third-Party Evaluators.
Format: Toolkits and Templates
Sample SSIP Action Plan TemplateThis Action Plan Template provides a format to assist states in developing their Phase II SSIP improvement and evaluation plan.
Format: Presentations
Building an SSIP Evaluation PlanThe information provides guidance on developing an evaluation plan by differentiating implementation and impact. Topics addressed include translating theory of action into specific evaluation questions and possible formative and summative measures for evaluation. Helpful handouts are included.
Format: Guides, Papers, and Reports
SSIP Phase II Process GuideThe SSIP Phase II Process Guide describes the steps needed to accomplish the work of the three components of Phase II. It lists tools and resources and defines key terms to support the work.
Format: Presentations
Benefits of Using Integrated Data Systems to Support the SSIPThe presentation addresses the value of IDEA data managers and staff working with data from systems integrated with general education and early learning programs. Viewers can learn how integrated data can support the SSIP to provide a comprehensive integrated view of children/students, schools, and programs to improve outcomes for children and their families. A helpful handout is included.
Format: Presentations
Evidenced-Based Practices in Mathematics for Struggling Students and Students With DisabilitiesThe presentation reviews information on evidence-based strategies and practices to support improvement in mathematics. Helpful handouts are included.
Format: Presentations
Child Outcomes and Data QualityThe presentation provides strategies for making predictions of the ways in which improvements in data quality will impact the summary statements and describes different ways to impact and measure changes in data quality over time. This can help states currently struggling to predict how improvements in data quality will impact the value of the summary statements describing child outcomes. Helpful handouts are included.