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Meagan Karvonen; Lindsay Ruhter; Amy K. Clark – Exceptionality, 2024
Students with extensive support needs (ESN), most of whom are taught in separate settings by special educators without extensive academic preparation, have difficulty making progress in the general education curriculum. Although there is evidence that data-based decision-making improves achievement for a wide range of students, there is little…
Descriptors: Students with Disabilities, Academic Education, Data Use, Decision Making
Apryl L. Poch; Abigail A. Allen; Pyung-Gang Jung; Erica S. Lembke; Kristen L. McMaster – Grantee Submission, 2022
Writing is a critical academic and life skill, but many school-age children struggle with the complexity of written expression. Given the importance of writing, there is a clear need for a systematic approach to identifying and supporting struggling writers, including writers with learning and emotional disabilities. One such approach is known as…
Descriptors: Data Use, Decision Making, Writing Instruction, Writing Difficulties
Apryl L. Poch; Abigail A. Allen; Pyung-Gang Jung; Erica S. Lembke; Kristen L. McMaster – Intervention in School and Clinic, 2022
Writing is a critical academic and life skill, but many school-age children struggle with the complexity of written expression. Given the importance of writing, there is a clear need for a systematic approach to identifying and supporting struggling writers, including writers with learning and emotional disabilities. One such approach is known as…
Descriptors: Data Use, Decision Making, Writing Instruction, Writing Difficulties
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Ashley Taconet; Shannon Langdon; Christopher Esposito; Valerie L. Mazzotti; Mary E. Morningstar; Allison Lombardi – Intervention in School and Clinic, 2024
College and career readiness is crucial to success in postsecondary education, employment, and independent living. The College and Career Readiness for Transition (CCR4T) assessment is valid and reliable and can assist in transition planning for students with disabilities. The CCR4T assessment was designed for planning with students with and…
Descriptors: Students with Disabilities, Career Readiness, College Readiness, Individualized Education Programs
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Toste, Jessica R.; Filderman, Marissa J.; Espin, Christine A. – Intervention in School and Clinic, 2023
Data-based instruction (DBI) is a process of collecting and using student progress data to guide decision-making related to intervention intensity and individualization for students with learning disabilities (LD). However, effective DBI requires that teachers have a range of knowledge and skills across multiple domains. Past research has shown…
Descriptors: Data Use, Teacher Education, Reading Instruction, Decision Making
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Clemens, Katharine; Borowski, Luke; Donovan, Mary; Meyer, Katherine; Dooley, Kathryn; Simonsen, Brandi – TEACHING Exceptional Children, 2022
Schools that employ evidence-based multi-tiered system of supports (MTSS) frameworks, like Positive Behavioral Interventions and Supports (PBIS), invest in core system, data, and practice features to support students, families, and educators. A strong framework enables settings to enhance and adjust their implementation to meet the needs of all…
Descriptors: Educational Change, Program Implementation, Positive Behavior Supports, Crisis Management
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Lindsay Ruhter; Meagan Karvonen – Remedial and Special Education, 2024
There is evidence that data-based decision-making (DBDM) can improve outcomes for a wide range of students. However, less is known about how special education teachers are trained to use data to inform instruction that targets academic progress for students with extensive support needs (ESN). The purpose of this systematic literature review was to…
Descriptors: Student Needs, Decision Making, Data Use, Outcomes of Education
Tom Knutson – ProQuest LLC, 2024
Millions of children in the United States struggle with reading acquisition, many of whom are identified with developmental dyslexia (DD). Although experimental research indicates that evidence-based reading interventions can bring many of these children to average-range reading skills, such promising outcomes are not commonly achieved within K-12…
Descriptors: Developmental Disabilities, Dyslexia, Reading Consultants, Students with Disabilities
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Matthew T. Marino; Eleazar Vasquez III – Journal of Special Education Leadership, 2024
This manuscript presents an exploratory mixed-methods case study examining the impact of artificial intelligence (AI) in the form of generative pretrained transformers (GPTs) and large language models on special education administrative practices in one school district in the Northeast United States. AI holds tremendous potential to positively…
Descriptors: Special Education, Administrators, Artificial Intelligence, Data Use
Regan, Kelley; Evmenova, Anya S.; Hutchison, Amy; Day, Jamie; Stephens, Madelyn; Verbiest, Courtney; Gafurov, Boris – TEACHING Exceptional Children, 2022
The process of analyzing student data to determine an appropriate instructional decision is crucial for student academic growth. This article details how teachers can make data-driven decisions to carefully design writing instruction. Steps are presented for teachers to follow throughout the data driven decision-making process in order to meet…
Descriptors: Writing Instruction, Decision Making, Essays, Data Analysis
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Julie Irene Bost; Carl Lashley – Journal of Special Education Leadership, 2025
The purpose of this interview-based qualitative study was to explore how individualized education program (IEP) team members determine least restrictive environment and educational placement. The Individuals with Disabilities Education Act (IDEA) requires students with disabilities to be educated in the least restrictive environment and to the…
Descriptors: Mainstreaming, Individualized Education Programs, Students with Disabilities, Student Placement
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Claire E. Hughes – Gifted Child Today, 2025
Multi-Tiered System of Supports (MTSS) is a useful framework designed to address diverse needs of students and has great potential for twice-exceptional (2e) students, or gifted students with disabilities. By integrating academic, behavioral, social-emotional, and collaborative components, MTSS provides targeted interventions through its tiered…
Descriptors: Multi Tiered Systems of Support, Twice Exceptional, Students with Disabilities, Academically Gifted
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Belmonte-Mulhall, Colleen P.; Harrison, Judith R. – Journal of Applied School Psychology, 2023
Students with or at-risk of High Incidence Disabilities (HID) experience negative short and long-term outcomes. To intervene, many schools have elected to implement evidence-based practices within Multi-Tiered Systems of Support (MTSS), such as Response to Intervention (RTI). MTSS target the academic and behavioral progress of students deemed 'at…
Descriptors: Multi Tiered Systems of Support, Students with Disabilities, Student Behavior, Data Interpretation
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Fuchs, Lynn S.; Fuchs, Douglas; Hamlett, Carol L.; Stecker, Pamela M. – Journal of Learning Disabilities, 2021
The purpose of this narrative synthesis of the curriculum-based measure (CBM) instructional utility literature is to deepen insight into the supports required to enrich teachers' instructional decision-making within curriculum-based measure-data-based individualization (CBM-DBI) in ways that enhance the learning outcomes of students with intensive…
Descriptors: Curriculum Based Assessment, Data Use, Individual Instruction, Special Needs Students
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Ma, Zijie; Travers, Jason C. – Intervention in School and Clinic, 2022
Special education and related professionals often understand the importance of adhering to intervention procedures (i.e., fidelity), but may be less familiar with concepts of intervention intensity. In some cases, professionals may correctly apply an intervention, but with insufficient intensity. This can result in an intervention failing to…
Descriptors: Students with Disabilities, Autism, Pervasive Developmental Disorders, Intervention
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