OSEP provides differentiated monitoring and support (DMS) to states as part of its Results Driven Accountability (RDA) system. Under RDA, OSEP shifted from monitoring solely on compliance to monitoring and support focused on both compliance and improving results for children with disabilities.
Search Results for: using data
Expanding your SLDS to Include Special Populations
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Conference: NCES STATS-DC Date: August 2023 Presenter: Ginger Elliott-Teague, Erik Friend, Kathi Gillaspy, Leah Piatt The presenters highlighted why states should incorporate data about special child populations into the SLDS […]
Child Outcomes Summary Knowledge Check (COS-KC)
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Does your state or program use the ECO Child Outcomes Summary (COS) process for measuring child outcomes? How much do you know about practitioner knowledge of the COS process? Well-equipped practitioners are one key to high quality child outcomes data, and now we have a tool to help practitioners and states understand practitioner knowledge about the COS process. The COS Knowledge Check (COS-KC) is a brief assessment that produces helpful reports for state planning and improvement.
Remembering Judy Heumann
![Judy Heumann](https://dasycenter.org/wp-content/uploads/2023/04/Judith_Heumann_2014_cropped-150x150.jpg)
A tireless activist and advocate, Judy helped develop legislation that would become the Individuals with Disabilities Education Act (IDEA), and she was a key figure in other federal legislation to increase access and inclusion for people with disabilities.
DaSy Dynamic Impact
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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.
CEDS Master Class Series
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Join the Common Education Data Standards (CEDS) Master Class Series, beginning November 17, to learn how to get involved with CEDS, which CEDS tools are right for you, and to learn from your peers.
Equity Starts with Allocations: Aligning Resources to Meet the Needs of All
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Methods for state Part C allocations are typically driven by factors such as the number of children served in the previous year and historic expenditure patterns. But how well are these allocations meeting the needs of children and families in the state Part C program? Might other factors better support different levels of need? Using multiple sources of programmatic and fiscal data, states may better understand how to equitably allocate resources statewide to serve all families. Because states vary considerably in how they are structured, in this session we discussed different considerations and methods for determining allocations to facilitate equitable use of early intervention resources statewide.
No Need to Reinvent the Wheel: Professional Development Resources to Reinforce Core COS Practices
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This session explored available Child Outcomes Summary (COS) resources that help teams focus on functionality, cover the breadth of the outcomes, develop age-anchoring skills, determine ratings with the decision tree, and engage families in COS conversations. Participants discovered how these resources can improve, refresh, or refine team implementation of the COS process. Professional development providers and technical assistance staff using these resources shared strategies for practical implementation of quality learning activities for busy practitioners.
Telepractice Going Forward: Developing State Guidance for Ongoing Use of the Service Delivery Method
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Two states share their processes used to develop current guidance and communication plans, based on data, to address the needs of families, providers, and staff to effectively implement telepractice as an ongoing service delivery method and advance equity in the current stage of the pandemic and beyond.
Analysis Steps Used to Generate National Estimates for Progress Categories, Summary Statements, and Results FFY 2020
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National estimates were computed using three methods: (1) Computing weighted national estimates for all states, (2) Computing the unweighted national estimates for all states, and (3) Computing the weighted national […]