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Showing 1 to 15 of 21 results Save | Export
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Sarah Quinn; Wendy Machalicek – TEACHING Exceptional Children, 2025
Leading an individualized education program (IEP) meeting can be a daunting task for special education teachers, particularly if they want to make changes to the status quo when it comes to inclusive opportunities for students with higher support needs. This article explores how special educators can begin to advocate for that change within their…
Descriptors: Individualized Education Programs, Meetings, Inclusion, Students with Disabilities
Data Quality Campaign, 2020
States can and should continue to measure student growth in 2021. Growth data will be crucial to understanding how school closures due to COVID-19 have affected student progress and what supports they will need to get back on track. Education leaders will also need growth data to ensure that any recovery efforts are equitable as well as effective…
Descriptors: Student Evaluation, Growth Models, State Policy, State Standards
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
Turner, Ross – Australian Council for Educational Research, 2015
In 2013, staff at the Australian Council for Educational Research (ACER) Centre for Global Education Monitoring (GEM) identified the need to build measurement tools to monitor learning growth that could be used across different year levels and in different national contexts. One of those projects, under ACER's Monitoring Trends in Educational…
Descriptors: Academic Achievement, Progress Monitoring, Data, Measurement
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Filderman, Marissa J.; Toste, Jessica R. – TEACHING Exceptional Children, 2018
Reading proficiency is fundamental to school success. However, up to 50% of students with reading disabilities are not making adequate progress. Students who demonstrate persistent and severe reading difficulties require increasingly intensive instruction individualized to meet their instructional needs Individualizing instruction with…
Descriptors: Reading Difficulties, Reading Skills, Individualized Instruction, Decision Making
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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
Tucker, Catlin – Educational Leadership, 2015
Technology makes it easier than ever for educators to generate meaningful, ongoing data to inform their teaching, track student progress, and personalize learning. When the author began to explore how she could use technology to quickly assess student skills, data became exciting and took on a new role in her teaching practice. Now she uses data…
Descriptors: Data Collection, Student Motivation, Data, Evidence Based Practice
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Lemons, Christopher J.; Kearns, Devin M.; Davidson, Kimberly A. – TEACHING Exceptional Children, 2014
Students with persistent and severe reading difficulties pose a significant challenge for educators. The primary purpose of this article is to provide a detailed demonstration of data-based individualization (DBI) implementation in the area of reading. Also provided are various resources a teacher may access to learn more about the instructional…
Descriptors: Individualized Instruction, Reading Instruction, Intervention, Reading Difficulties
Data Quality Campaign, 2016
All students deserve a great education, one that affords every opportunity for them to grow into knowledgeable and successful adults. To date, efforts to improve education have operated on a model of mass production, assuming--wrongly--that what works for some students must work for all. To change that model, students and their parents, teachers,…
Descriptors: Statistical Data, State Policy, Information Utilization, Decision Making
Grossman, Jill; Cawn, Brad – New Leaders, 2016
At KIPP Comienza Community Prep--an elementary school in Huntington Park, California, where 94 percent of students qualify for free lunch, and more than 60 percent are English language learners--most kindergarteners start out well below pre-reading levels. In 2015, however, just a few years after these students walked in the school doors unable to…
Descriptors: Case Studies, Decision Making, Data, Elementary Schools
Krugly, Andrew; Stein, Amanda; Centeno, Maribel G. – ZERO TO THREE, 2014
Data-based decision making should be the driving force in any early care and education setting. Data usage compels early childhood practitioners and leaders to make decisions on the basis of more than just professional instinct. This article explores why early childhood schools should be using data for continuous quality improvement at various…
Descriptors: Data, Decision Making, Early Childhood Education, Educational Quality
National Center on Response to Intervention, 2013
Progress monitoring, one of the essential components of Response to Intervention (RTI), is characterized by repeated measurement of academic performance that is conducted at least monthly. The process may be used to assess students' academic performance over time, to quantify student rates of improvement or responsiveness to instruction, and to…
Descriptors: Progress Monitoring, Parents, Response to Intervention, Academic Achievement
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Weiss, Stacy L.; Friesen, Amber – Journal of Educational & Psychological Consultation, 2014
Response to Instruction (RTI) frameworks provide a structure for assessing student progress and evaluating the effectiveness of reading interventions. Schools frequently use RTI to support students who are struggling with learning to read while utilizing curriculum-based measurement (CBM) to monitor performance and guide instructional decisions…
Descriptors: Curriculum Based Assessment, Response to Intervention, Reading Instruction, Reading Difficulties
Massachusetts Department of Elementary and Secondary Education, 2014
The purpose of this guide is to provide information on how to use early warning data, including the Massachusetts Early Warning Indicator System (EWIS), to identify, diagnose, support and monitor students in grades 1-12. It offers educators an overview of EWIS and how to effectively use these data in conjunction with local data by following a…
Descriptors: Dropout Prevention, At Risk Students, Identification, Elementary Secondary Education
National Center on Response to Intervention, 2013
Progress monitoring assessment is one of the four essential components of Response to Intervention (RTI), as defined by the National Center on Response to Intervention (NCRTI). Progress monitoring data allow teachers to evaluate the academic performance of students over time, quantify rates of improvement or responsiveness to instruction, and…
Descriptors: Progress Monitoring, Graphs, Curriculum Based Assessment, Decision Making
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