The Individuals with Disabilities Education Act (IDEA) requires states to monitor and enforce IDEA Part C and Part B requirements, with a primary focus on those requirements that are most closely related to improving results and functional outcomes for infants, toddlers, and children with disabilities.
The OSEP-funded Early Childhood Technical Assistance (TA) Centers are pleased to announce a variety of new and ongoing opportunities to build individual and state capacity around implementation of IDEA 0-5. […]
The OSEP Early Childhood TA Centers flyer is designed to help states better understand the content focus of the OSEP TA centers and the network of parent centers that respond […]
These video interviews recounting state stories, a planning tool, and related presentations are integrated components to maximize your learning and provide the information you need to be successful expanding coverage for Early Intervention.
Conference: ECDataWorks Date: February 2021 Presenters: Nicholas Ortiz and Robin Nelson Discover how to create more user-friendly, interactive pivot tables through advanced features in Excel that allow deeper analysis of […]
December 14, 2020 This session focused on state leadership needed to proactively influence policy and its implementation and how to respond to policy implications resulting from federal and state changes. […]
Conference: NWRA Date: September 2019 Presenter: Denise Mauzy Presentation on the importance of data linking, the status of data linking efforts nationally, and ativities that support data linking. The Nuts […]
Conference: CRIEI Date: February 2020 Presenters: Sara Thayer, Kathleen Hebbeler, Donna Spiker, and Missy Coffey Part C and 619 state coordinators and/or data managers completed surveys in 2013 and 2019. […]
Conference: NRCEC Date: December 2020 Presenters: Sara Thayer, Missy Coffey, Donna Spiker, and Kathleen Hebbeler Part C and Part B 619 state coordinators and/or data managers completed surveys in 2013 […]
This presentation can help Part C and Part B 619 staff understand the basic tenets of data quality and the consequences for data use, particularly when data quality differ by racial/ethnic groups.
