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    An IDC Resource

    Format: Quick Reference

    Navigating Uncharted Waters: Engaging Stakeholders in Part B Indicator 3 Baseline and Target Setting

    This customizable resource includes a PowerPoint template and presentation notes that provide states with an overview of the Part B SPP/APR reporting changes to Indicator 3, which addresses participation and performance of children with individualize education programs (IEPs) on statewide assessments. The resource reviews the new requirements related to stakeholders, particularly parents, in the SPP/APR and implications for Indicator 3 and shares strategies for engaging stakeholders in the optional baseline and required target setting processes. States are able to customize the information in the PowerPoint to reflect their own contexts and to meet the needs of different audiences.

    An IDC Resource

    Format: Guides and Briefs

    Building Your SPP/APR Stakeholder Engagement Plan: 10 Essential Questions

    Building Your SPP/APR Stakeholder Engagement Plan: 10 Essential Questions can help states develop and report on authentic and broad stakeholder engagement as required in the FFY 2020–2025 SPP/APR. This interactive resource guides states through 10 key questions they should be asking themselves as they build their stakeholder engagement plans. Each question provides detailed options to consider that will assist states in preparing to describe their engagement activities in their SPPs/APRs.

    An IDC Resource

    Format: Trainings

    ii20 Session Presentations and Handouts

    The Interactive Institutes 2020 – Building and Sustaining a Culture of High-Quality Data provided opportunities for participants to take a deep dive into data quality topics to learn about data culture change. Participants were able to discover best practices to improve data collection, reporting, analysis, and use. They also engaged with peers and TA providers about trending data quality topics. Each session presented powerful ideas and actionable plans to improve work processes and data quality.