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Center for IDEA Early Childhood Data Systems (DaSy), 2025
The purpose of this brief is to increase states' awareness of national data resources that can support states in sharing, linking, integrating, and using data on young children with disabilities to enhance the provision of early intervention (EI) and early childhood special education (ECSE) services. The audience for this brief includes states'…
Descriptors: Students with Disabilities, Young Children, Early Intervention, Data
Epstein, Dale – Early Childhood Data Collaborative, 2020
At state and local levels, home visiting programs may use one of several mechanisms to collect and store data from families and clients who participate in home visiting services. States that are interested in integrating home visiting data with other early childhood data must often navigate the different ways in which home visiting data are stored…
Descriptors: Home Visits, Information Storage, Information Management, Young Children
Lin, Van-Kim – Early Childhood Data Collaborative, 2019
Integrating data across early childhood programs allows program staff and administrators, policymakers, and researchers to have a comprehensive picture of early childhood programs. While some states have taken significant steps to integrate data across many early childhood programs, home visiting data have seldom been included in these data…
Descriptors: Young Children, Home Visits, Information Management, Data Collection
Kane, Maggie; King, Carlise – Early Childhood Data Collaborative, 2020
While home visiting services are an important component of the early childhood (EC) landscape, few states include home visiting data in their early childhood integrated data systems (ECIDS). An ECIDS links together data from different early care and education programs to generate data used to support program and policy decisions. One reason for…
Descriptors: Home Visits, Early Intervention, Young Children, Data Collection
Center for IDEA Early Childhood Data Systems (DaSy), 2022
The Individuals with Disabilities Education Act (IDEA) funds programs providing services designed to assist children with a range of delays and disabilities in achieving individualized developmental and functional goals. There are two types of programs. Part C Early Intervention is for children ages birth-2, and Part B Preschool is for children…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Students with Disabilities
Mickelson, Ann M.; McCorkle, Laura S.; Hoffman, Rebecca – Young Exceptional Children, 2022
It has been well documented that children's development is enhanced within the context of supportive parent-child relationships (Mortensen & Mastergeorge, 2014). Research also indicates that any daily activity of a child holds the potential for multiple learning opportunities if parents and other caregivers are supported in their capacity to…
Descriptors: Early Intervention, Federal Legislation, Educational Legislation, Equal Education
Early Childhood Technical Assistance Center, 2021
To support states in improving educational results and functional outcomes for children with disabilities while ensuring compliance with Individuals with Disabilities Education Act (IDEA) through state monitoring activities, a six-step inquiry process has been developed. The six steps describe a chronological process to assist states in selecting…
Descriptors: Equal Education, Educational Legislation, Federal Legislation, Compliance (Legal)
Kittelman, Angus; Storie, Sloan; Horner, Robert H.; Machalicek, Wendy – Center on Positive Behavioral Interventions and Supports, 2020
Young students starting school for the first time (e.g., kindergarteners) often benefit from more than typical intensity of behavioral support. Learning new social expectations, routines, and interaction patterns can be daunting. This is an important concern for schools implementing positive behavioral interventions and supports (PBIS). Learning a…
Descriptors: Behavior Modification, Positive Behavior Supports, Intervention, Kindergarten
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2018
To evaluate interim progress toward the State-identified Measurable Result (SIMR), states require access to high-quality data from local education agencies (LEAs) and early intervention service providers. In a review of 2017 Phase III State Systemic Improvement Plans (SSIP), 43 Part C states noted limitations or concerns related to data and…
Descriptors: Fidelity, Data Collection, State Standards, Barriers
Regenstein, Elliot – Data Quality Campaign, 2020
As of June 2020, it is still too early to know how state early childhood systems will be permanently changed by the COVID-19 crisis. But the need for early childhood data is not new to the pandemic and recovery. States can benefit from data to better understand the landscape of local early childhood services--and about resources needed to help…
Descriptors: Early Childhood Education, COVID-19, State Government, Federal Government
Early Childhood Data Collaborative, 2018
Many states are building systems and structures to integrate their early care and education data. Combining data from different programs and agencies that serve young children allows policymakers and program decision makers to better answer critical questions about the needs of families in their communities, as well as questions about services and…
Descriptors: Early Childhood Education, Young Children, Early Intervention, Participation
Education Trust, 2021
The COVID-19 crisis has made delivering early intervention services much more challenging and could exacerbate racial inequities in health and education. But we can only fix what we can measure--so it is vital that states collect and report better data. A survey of state coordinators of early intervention services in fall 2020 focused on Black and…
Descriptors: Early Intervention, Hispanic Americans, African Americans, Limited English Speaking
Ross, Christine; Sama-Miller, Emily; Roberts, Lily – Administration for Children & Families, 2018
The "Integrated Approaches to Supporting Child Development and Improving Family Economic Security" project was conducted by Mathematica Policy Research and Northwestern University for the Office of Planning, Research and Evaluation (OPRE), in the Administration for Children and Families (ACF) at the U.S. Department of Health and Human…
Descriptors: Well Being, Family Programs, Family Income, Children
Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
Thomas, Anne E.; Marvin, Christine A. – Communication Disorders Quarterly, 2016
Program monitoring is an important and necessary assessment practice within the field of early childhood deaf education. Effective program monitoring requires a focus on both the consistent implementation of intervention strategies (fidelity) and the assessment of children's ongoing progress in response to interventions (progress monitoring).…
Descriptors: Partial Hearing, Deafness, Early Intervention, Progress Monitoring

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