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Ohio Department of Education, 2023
State law requires that Ohio's superintendent of public instruction annually report on the status of implementation of special education and related services for children with disabilities. This includes the number of children identified with disabilities and the number of identified children receiving services. The Ohio Department of Education…
Descriptors: Children, Disabilities, Special Education, Program Implementation
Shondra Loggins Clay – International Journal of Disability, Development and Education, 2024
The purpose of this paper is to explore 10-year trends in the use of Assistive Technology (AT). Using 2006 and 2015 Behavioral Risk Factor Surveillance System (BRFSS) data, univariate analysis were performed, and the rate of change was calculated. In both 2006 and 2015 data, a higher per cent of Blacks were using AT compared to Whites and…
Descriptors: Assistive Technology, Racial Differences, Gender Differences, Individual Characteristics
Lin, Pei-Ying; Lin, Yu-Cheng – Policy Futures in Education, 2019
Over the decades, it is evident that exceptional learners have been excluded from participating in international assessments such as OECD's PISA (Programme for International Student Assessment) due to their disabilities. Drawing on the interdisciplinary theories and perspectives of educational assessment, measurement, and early childhood special…
Descriptors: International Assessment, Early Childhood Education, Disabilities, Educational Assessment
Gee, Kevin A. – Journal of Education for Students Placed at Risk, 2018
Children from certain racial and ethnic minority backgrounds, in poverty, and/or with a disability, often face distinct challenges in attending school, leading them to miss more school relative to their non-minority, more socio-economically advantaged and non-disabled peers. This brief describes these disparities in absenteeism in the US,…
Descriptors: Attendance, Disproportionate Representation, Race, Ethnicity
Vines, Karen; Hughes, Chris; Alexander, Laura; Calvert, Carol; Colwell, Chetz; Holmes, Hilary; Kotecki, Claire; Parks, Kaela; Pearson, Victoria – Open Learning, 2019
Sonification is the use of non-speech audio to convey information. In this article, sonifications are representations of plots aimed at improving the accessibility of teaching materials. The electronic nature of sonifications means that they can be deployed to students via teaching interfaces such as virtual learning environments. We describe a…
Descriptors: Visual Aids, Assistive Technology, Disabilities, Visual Impairments
Lin, Van-Kim; Shaw, Sara; Maxwell, Kelly – Administration for Children & Families, 2019
Administrative data refers to information about individual children, families, and/or service providers that is collected and maintained as a part of program operations. Research using early care and education (ECE)-related administrative data has often focused on child care subsidy policies, use of ECE programs, access to ECE programs, and other…
Descriptors: Data, Child Care, Early Childhood Education, Educational Policy
Gould, Tate; Nicholas, Amy; Blandford, William; Ruggiero, Tony; Peters, Mary; Thayer, Sara – Center for IDEA Early Childhood Data Systems (DaSy), 2014
This overview of the basic components of a data dictionary is designed to educate and inform IDEA Part C and Part B 619 state staff about the purpose and benefits of having up-to-date data dictionaries for their data systems. This report discusses the following topics: (1) What Is a Data Dictionary?; (2) Why Is a Data Dictionary Needed and How Can…
Descriptors: Data, Dictionaries, Federal Legislation, Educational Legislation
Nazarov, Zafar E.; Erickson, William A.; Bruyère, Susanne M. – Rehabilitation Research, Policy, and Education, 2014
Objective: It is useful to examine workplace factors influencing employment outcomes of individuals with disabilities and the interplay of disability, employment-related, and employer characteristics to inform rehabilitation practice. Design: A number of large national survey and administrative data sets provide information on employers and can…
Descriptors: Data, Data Analysis, Statistical Data, Employment Practices
Kurz, Alexander; Elliott, Stephen N.; Roach, Andrew T. – Remedial and Special Education, 2015
Response-to-intervention (RTI) systems posit that Tier 1 consists of high-quality general classroom instruction using evidence-based methods to address the needs of most students. However, data on the extent to which general education teachers provide such instruction are rarely collected. This missing instructional data problem may result in RTI…
Descriptors: Response to Intervention, Data, Data Collection, Special Education
Ruedel, Kristin; Nelson, Gena; Weingarten, Zach; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2018
Data-based problem solving within a multi-tiered system of support (MTSS) can help state education agencies and local education agencies (LEAs) improve graduation rates for students with disabilities. To facilitate problem solving within an MTSS, states and LEAs need efficient systems and processes for analyzing and integrating data across…
Descriptors: Disabilities, Graduation Rate, Problem Solving, Early Intervention
Greer, Maureen; Kilpatrick, Jamie; McCullough, Katy; Reid, Kellen – Center for IDEA Early Childhood Data Systems (DaSy), 2015
"Use of Data for Fiscal Management of State Part C Systems" is designed to increase the knowledge and skills of lead agency staff regarding the use of data for appropriate fiscal management of Part C. This document addresses budget development and management. This document has three sections: (1) Budget Development and Management; (2)…
Descriptors: Disabilities, Educational Legislation, Equal Education, Federal Legislation
Hughes, Elizabeth M.; Powell, Sarah R.; Stevens, Elizabeth A. – TEACHING Exceptional Children, 2016
Children with disabilities perform lower in mathematics than their peers without disabilities, and this gap widens from ages 7 to 13 (Wei, Lenz, & Blackorby, 2013). Of even greater concern is that fifth-grade children with mathematics disabilities continue to perform in the bottom quartile of their grade in high school (Shalev, Manor, &…
Descriptors: Disabilities, Mathematics, Achievement, Low Achievement
Hughes, Elizabeth M.; Powell, Sarah R.; Stevens, Elizabeth A. – Grantee Submission, 2016
One influence contributing to this trend may be the imprecise use of mathematics language. Educators may not interpret mathematics as a second (or third) language for children, when, in fact, all children are mathematical-language learners (Barrow, 2014). The numerals, symbols, and terms that explain mathematics concepts and procedures are…
Descriptors: Disabilities, Mathematics Achievement, Low Achievement, Elementary School Mathematics
Shah, Nirvi – Education Week, 2012
This article reports on new statistics which show that students with disabilities and black students are most likely to be restrained or isolated in school. As part of its most recent data collection, the U.S. Department of Education's office for civil rights asked more than 72,000 public schools to report how many students were isolated or…
Descriptors: Disabilities, African American Students, Employees, Parents
Powell, Sarah R.; Stecker, Pamela M. – TEACHING Exceptional Children, 2014
This article describes data-based individualization (DBI) as a continuous process connecting assessment and intervention in mathematics for students with disabilities. DBI provides teachers with an evidence-based method for individualizing interventions for students who do not demonstrate adequate response. Assessment data gathered through the use…
Descriptors: Individualized Instruction, Mathematics Instruction, Intervention, Disabilities

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