Multiple family voices at the table are essential. Family members will reveal unseen successes, barriers, issues, or problems. They will suggest and recommend improvements. They will define and celebrate successes. With well-supported and compensated Family Data Leaders with flexible opportunities for input, states and local programs can better meet goals with and for children and families. Don’t miss out on family members’ voices and expertise.
Improving programs and changing systems can be hard, DaSy Dynamic Impact is an easy-to-use approach that provides a consistent, successful, and sustainable process to support your team.
In this session, participants learned about three Office of Special Education Programs-funded Child Find Model Demonstration projects and approaches to working with states and communities to improve child find systems and promote equity in access to Part C. Presenters highlighted three models for child find and discuss how stakeholder engagement and data can enhance system improvement efforts.
Part C and Part B 619 staff can learn about strategies for engaging those impacted by data in decision making around planning, analyzing and sharing data.
If you work in Part C and 619 you know that, this year, every state must set targets for Part C and 619 performance through 2025. These targets must be submitted in the FFY 2020 SPP/APR due February 1, 2022. States should aim for achievable and rigorous targets. What are achievable and rigorous targets?
Our early childhood community, including state and local personnel, families, and the larger community, has an interest in supporting our young children with disabilities.
Having a robust stakeholder engagement plan is important. As states work to engage a broad range of stakeholders on an ongoing basis, virtual strategies and methods continue to be important – even as face-to-face gatherings start to increase after the pandemic.
This resource is an introductory guide with activities to engage stakeholders in understanding data analysis and using data. The activities use practical examples of data readily available in everyday life […]