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Zachary Weingarten; Amy Peterson; Kyle Allen – National Center on Intensive Intervention, 2023
Readiness for change is an important factor in successful implementation and scale-up of a new practice or program in schools. The process of assessing and developing readiness for change is a key feature of the Exploration Stage, which is the first of four implementation stages identified by the Active Implementation Research Network. Data-based…
Descriptors: Data Use, Intervention, Individualized Instruction, Student Needs
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Marissa J. Filderman; Samantha A. Gesel – TEACHING Exceptional Children, 2024
Data-based decision making (DBDM) is a process of using student data to inform instructional decisions and intensify intervention for students whose data indicate inadequate academic and behavioral progress. Data teams, an important structure for DBDM, are a collaborative group of school faculty who meet to systematically analyze student data,…
Descriptors: Evidence Based Practice, Decision Making, Data Use, Intervention
Alexandra M. Pierce; Melissa A. Collier-Meek; Thea R. Bucherbeam; Lisa M. H. Sanetti – Communique, 2024
Students cannot experience the full potential benefits of an intervention unless they are receiving the intervention. This is the second installment in a three-part series on intervention fidelity designed to highlight the importance of ensuring classroom supports are implemented as intended. This article provides guidance related to measuring and…
Descriptors: Data Use, Decision Making, Intervention, Fidelity
Brooks, Maneka Deanna; Frankel, Katherine K.; Learned, Julie E. – Phi Delta Kappan, 2022
Stand-alone reading intervention courses, or reading classes, are designed to facilitate the literacy development of adolescents who have been deemed "struggling" readers. However, the existence of such courses does not mean that these goals are realized. Decades of qualitative research on youth perspectives and experiences have…
Descriptors: Reading Improvement, Intervention, Program Effectiveness, Educational Policy
Marissa J. Filderman; Clark McKown; Pamela Bailey; Gregory J. Benner; Keith Smolkowski – Beyond Behavior, 2023
The collection of student data through screening and progress monitoring of social and emotional learning (SEL) skills is just as important as the implementation of curriculum and practices. Monitoring skill acquisition allows teachers to identify effective practices, provide intervention, and intensify support for students who need it. In this…
Descriptors: Elementary School Students, Social Emotional Learning, Skill Development, Progress Monitoring
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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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Maria L. Hugh; Kathleen Tuck; Alana Schnitz; Lisa Didion; Andrea Nelson – Journal of Special Education Preparation, 2024
Improving outcomes for young children with high-intensity needs requires a high-quality workforce trained in equitable, intensive, individualized instructional practices and supports incorporating culturally and linguistically responsive evidence-based practices (Gunn, 2020) and developmentally appropriate practices (DAP; NAEYC, 2021) Nationally…
Descriptors: Special Education, Early Childhood Education, Intervention, Preservice Teacher Education
Kaurudar, Erica; Campbell, Jared – Communique, 2021
Statewide technical assistance providers support many school teams through training, consultation, and coaching to improve systems and outcomes for mathematics for every student. They have the opportunity to work with many school psychologists, who often indicate they are more comfortable engaging in systems-level work for literacy, behavior, and…
Descriptors: Positive Behavior Supports, Mathematics Education, School Psychologists, Data Use
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Pangrazio, Luci; Stornaiuolo, Amy; Nichols, T. Philip; Garcia, Antero; Philip, Thomas M. – Harvard Educational Review, 2022
In this contribution to the Platform Studies in Education symposium, Luci Pangrazio, Amy Stornaiuolo, T. Philip Nichols, Antero Garcia, and Thomas M. Philip explore how digital platforms can be used to build knowledge and understanding of datafication processes among teachers and students. The essay responds to the turn toward data-driven teaching…
Descriptors: Teaching Methods, Learning Analytics, Vignettes, Learning Processes
Early Childhood Technical Assistance Center, 2022
Partnerships between the Early Hearing Detection and Intervention (EHDI) program and Part C of the Individuals with Disabilities Education Act (IDEA) program can support and improve outcomes for children who are deaf or hard of hearing (DHH) and their families. Collaboration between these programs is specified in the IDEA Part C Regulations 34 CFR…
Descriptors: Data Use, Data Collection, Partnerships in Education, Hearing Impairments
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Quin-Anne Hinrichs; Chelsea R. Johnston; Laura Feuerborn; Ashli Tyre – Beyond Behavior, 2025
Implementation of a culturally responsive positive behavioral interventions and supports (PBIS) framework is associated with positive outcomes for secondary students when implemented schoolwide. Yet, educators often report more implementation challenges in secondary school as compared to elementary school settings. Difficulties obtaining student…
Descriptors: Behavior Modification, Positive Behavior Supports, Student Behavior, Behavior Problems
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Lynnette Brice; Alison Harrison; Alan Cadwallader – Journal of Open, Flexible and Distance Learning, 2023
The purpose of this paper is to share insights gained from the discovery, design, and delivery phases of creating a three-tiered model of non-academic learning support in open, distance, and flexible learning (ODFL): "Learner Engagement and Success Services (LESS)", at Open Polytechnic | Te Pukenga, New Zealand. Presented as a case…
Descriptors: Ethics, Learning Analytics, Intervention, Foreign Countries
Nancy Montes; Fernanda Luna – UNESCO International Institute for Educational Planning, 2024
This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…
Descriptors: Data Collection, Data Use, At Risk Students, Foreign Countries
Julie Esparza Brown; Amanda K. Sanford; Donna Sacco – National Center on Intensive Intervention, 2024
This brief highlights how to use culturally and linguistically aligned (CLA) strategies to support multilingual learners within an multi-tiered system of supports (MTSS) framework including how to use a CLA lens to inform instructional adaptations for multilingual learners who require intensive intervention. The brief reviews the use of the CLA…
Descriptors: Multi Tiered Systems of Support, Culturally Relevant Education, Language Usage, Multilingualism
Weingarten, Zachary; Bailey, Tessie Rose; Peterson, Amy – National Center on Intensive Intervention, 2019
If you are like most educators, you agree with the idea of providing intensive intervention for students with the most intractable academic and behavior problems. The question you may be asking is, how do I find the time? Intensive intervention requires time for planning and delivering individualized instruction, as well as time for collecting and…
Descriptors: Intervention, Scheduling, Individualized Instruction, Data Use
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