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Hsiu-Wen Yang; Christine Harradine; Chih-Ing Lim; Douglas H. Clements; Megan Vinh; Julie Sarama – Early Childhood Education Journal, 2025
Given the increased diversity of the population in the United States and the importance of early science, technology, engineering, and mathematics (STEM) learning, it is crucial to identify ways to reduce racial, ethnic, and gender disparities in STEM education. This is particularly important for children with disabilities with intersecting…
Descriptors: Demography, Early Intervention, STEM Education, Equal Education
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
Natalie Reid; Xinwei Li; Will Ratner; Victoria Sims; Charlotte Cabili; Tutrang Nguyen; Judy Cannon; Jeani Choe; Xiaofan Sun; Addison Larson; Chidinma Nwankwo; Jeff Harrington; Barbara Carlson; Elizabeth Doran; Sara Bernstein – Office of Planning, Research and Evaluation, 2024
This report includes information on the design and methodology of the 2021-2022 Study of Family and Staff Well-Being in Head Start Family and Child Experiences Survey Programs (the 2021-2022 Study) and presents key findings from the study's spring 2022 data collection with Head Start program directors, center directors, and teachers. The 2021-2022…
Descriptors: Preschool Education, Children, Early Intervention, Family (Sociological Unit)
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
Center for IDEA Early Childhood Data Systems (DaSy), 2021
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. This guide describes the IDEA requirements…
Descriptors: Educational Legislation, Equal Education, Federal Legislation, Compliance (Legal)
Charlotte Cabili; Natalie Reid; Carla Chavez; Aden Bhagwat; Davis Straske; Will Ratner; Victoria Sims; Xinwei Li; Tutrang Nguyen; Xiaofan Sun; Jeani Choe; Jeff Harrington; Addison Larson; Judy Cannon – Office of Planning, Research and Evaluation, 2024
This report includes information on the 2021-2022 Study of Family and Staff Experiences in American Indian and Alaska Native Head Start Family and Child Experiences Survey Programs (the 2021-2022 Study). The 2021-2022 Study collected data from children's parents, teachers, center directors, and program directors in Region XI Head Start programs in…
Descriptors: Federal Programs, Low Income Students, Social Services, 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
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Alturki, Sarah; Alturki, Nazik; Stuckenschmidt, Heiner – Journal of Information Technology Education: Innovations in Practice, 2021
Aim/Purpose: One of the main objectives of higher education institutions is to provide a high-quality education to their students and reduce dropout rates. This can be achieved by predicting students' academic achievement early using Educational Data Mining (EDM). This study aims to predict students' final grades and identify honorary students at…
Descriptors: Data Collection, Data Analysis, Grade Prediction, Academic Achievement
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
Tutrang Nguyen; Davis Straske; Natalie Reid; Elizabeth Doran; Charlotte Cabili; Carla Chavez; Aden Bhagwat; Jeffrey Harrington; Addison Larson; Judy Cannon; Victoria Sims; Barbara Carlson; Ashley Kopack Klein; Sara Bernstein – Office of Planning, Research and Evaluation, 2024
The 2021-2022 Study builds on the Head Start Family and Child Experiences Survey (FACES). This report includes information on the 2021-2022 Study design and presents key findings from the study's spring 2022 data collection on Head Start children and families. The tables in this report describe children and families in spring 2022 as COVID-19…
Descriptors: Surveys, Family (Sociological Unit), Experience, Early Intervention
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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)
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Verlenden, Jorge; Naser, Shereen; Brown, Jeffrey – Journal of Applied School Psychology, 2021
Behavioral and social-emotional challenges experienced in childhood are risk factors for negative educational and health outcomes. Universal social-emotional screening in schools has been identified as an effective approach to identifying children at risk for mental health and behavioral challenges and is congruent with tiered frameworks for…
Descriptors: Screening Tests, Behavior Problems, Emotional Problems, At Risk Persons
Hunt, Nancy – Policy Analysis for California Education, PACE, 2020
Only about 10 percent of eligible infants and toddlers with developmental delays nationwide receive early intervention services, which are widely agreed to reduce delays and lessen the adverse effects of risk factors and disabilities on learning and development. California serves fewer children than the national average. Challenges arise from…
Descriptors: Identification, Early Intervention, Young Children, Infants
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