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Showing 1 to 15 of 32 results Save | Export
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Jessica R. Toste; Marissa J. Filderman; Nathan H. Clemens; Erica Fry – Journal of Learning Disabilities, 2025
Data-based instruction (DBI) is a process in which teachers use progress data to make ongoing instructional decisions for students with learning disabilities. Curriculum-based measurement (CBM) is a common form of progress monitoring, and CBM data are placed on a graph to guide decision-making. Despite the central role that graph interpretation…
Descriptors: Preservice Teachers, Data Use, Decision Making, Progress Monitoring
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Cynthia C. Massey; Emily M. Kuntz; Corey Peltier; Mary A. Barczak; H. Michael Crowson – International Journal for Research in Learning Disabilities, 2024
Enhancing special educators' data literacy is critical to informing instructional decision-making, especially for students with learning disabilities. One tool special educators commonly use is curriculum-based measurement (CBM). These data are displayed on time-series graphs, and student responsiveness is evaluated. Graph construction varies and…
Descriptors: Special Education Teachers, Preservice Teachers, Progress Monitoring, Information Literacy
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Ying, Samantha; Shakra, Rayanne – Issues in Educational Research, 2022
The purpose of this small case-study is to gain an in depth understanding of how secondary school teachers perceive that data walls impact their teaching practices and subsequently, students' learning and growth. By drawing on a conceptual model of evidence-informed practice (EIP), this case study examined responses from secondary school teachers…
Descriptors: Data Use, Secondary School Teachers, Progress Monitoring, Evidence Based Practice
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Kuntz, Emily M.; Massey, Cynthia C.; Peltier, Corey; Barczak, Mary; Crowson, H. Michael – Teacher Education and Special Education, 2023
Through time-series graphs, teachers often evaluate progress monitoring data to make both low- and high-stakes decisions for students. The construction of these graphs--specifically, the presence of an aimline and the data points per x- to y-axis ratio (DPPXYR)--may impact decisions teachers make. The purpose of this study was to evaluate the…
Descriptors: Graphs, Preservice Teachers, Accuracy, Decision Making
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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Sarah R. Powell; Samantha E. Bos; Sarah G. King; Leanne Ketterlin-Geller; Erica S. Lembke – TEACHING Exceptional Children, 2024
Data-based individualization (DBI) is a framework that allows educators to make timely and informed decisions about student progress in academics or behavior. In this article, we focus on the DBI framework as applied to math intervention within a tiered support model for students experiencing math difficulty. We review how DBI starts with an…
Descriptors: Middle School Mathematics, Middle School Students, Middle School Teachers, Mathematics Instruction
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Blumenthal, Stefan; Blumenthal, Yvonne; Lembke, Erica S.; Powell, Sarah R.; Schultze-Petzold, Patricia; Thomas, Elizabeth R. – Journal of Learning Disabilities, 2021
The purpose of this explorative study was to examine the use and understanding of key components of data-based decision making by educators in two countries--Germany and the United States. Educators responded to a survey that asked about data use and characteristics related to data-based decision making (DBDM). Results suggest educators in both…
Descriptors: Teacher Attitudes, Data Use, Decision Making, Progress Monitoring
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Gamze Nur Inönü; Sema Çelebi; Meryem Gülhan; Selda Aras – European Early Childhood Education Research Journal, 2025
This study aimed at understanding and investigating the lived experiences of early childhood teachers' observation practices as a professional tool. Interpretative phenomenological approach was utilized to investigate participants' experiences deeply from their lived experiences. The current study's participants consisted of five early childhood…
Descriptors: Early Childhood Teachers, Teacher Attitudes, Observation, Teaching Methods
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Flanagan, Matthew F.; Kutscher, Elisabeth L. – TEACHING Exceptional Children, 2021
Community-based instruction (CBI) is one type of community experience in which students with disabilities work toward instructional goals while engaged in activities occurring in a natural environment outside of a typical school setting (Hoover, 2016; Rowe et al., 2015). Educators who implement CBI capitalize on their students' time in the…
Descriptors: Community Based Instruction (Disabilities), Progress Monitoring, Students with Disabilities, High School Students
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
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Truckenmiller, Adrea J.; Brehmer, Julie S. – Reading & Writing Quarterly, 2021
Implementation of Tier 2 or supplemental reading intervention for students who struggle with reading in elementary schools is a nearly universal practice in the United States. Resources exist for assisting schools with selecting evidence-based interventions. However, there are many more explicit and implicit decisions that schools make when…
Descriptors: Reading Instruction, Supplementary Education, Intervention, Elementary School Students
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Ishari Amarasinghe; Konstantinos Michos; Francisco Crespi; Davinia Hernández-Leo – Journal of Computer Assisted Learning, 2024
Background: Data-driven educational technology solutions have the potential to support teachers in different tasks, such as the designing and orchestration of collaborative learning activities. When designing, such solutions can improve teacher understanding of how learning designs impact student learning and behaviour; and guide them to refine…
Descriptors: Learning Activities, Educational Technology, Design, Cooperative Learning
Shanahan, Emma – ProQuest LLC, 2023
Difficulties in writing can emerge as early as preschool, and often coincide with developing difficulties in reading (Berninger et al., 1997; Graham & Santangelo, 2014; Graham et al., 2020), as reading and writing are fundamentally connected skills (e.g., Fitzgerald & Shanahan, 2000). Writing instruction in general has had positive effects…
Descriptors: Writing Skills, Writing Instruction, Evidence Based Practice, Progress Monitoring
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Kishida, Yuriko; Carter, Mark; Kemp, Coral – Australasian Journal of Special and Inclusive Education, 2021
Although the use of data is important for informing inclusive practice, research into Australian early childhood educators' data practice is limited. Types of data collected in early childhood settings and the use of these data were investigated. Surveys completed by 105 early childhood educators across Australia indicated that anecdotal written…
Descriptors: Data Use, Data Collection, Early Childhood Teachers, Early Childhood Education
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Aburizaizah, Saeed Jameel – Journal of Education and Learning, 2021
For many justifications, the collection, analysis, and use of educational data are central to the evaluation and improvement of students' progress and learning outcomes. The use of data in educational evaluation and decision making are expected to span all layers--from the institution, teachers, students, and classroom levels, providing a…
Descriptors: Data Use, Decision Making, Progress Monitoring, Learning Analytics
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