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Charmaine K. Higa-McMillan; Alayna L. Park; Eric L. Daleiden; Kimberly D. Becker; Adam Bernstein; Bruce F. Chorpita – Administration and Policy in Mental Health and Mental Health Services Research, 2024
This study investigated coded data retrieved from clinical dashboards, which are decision-support tools that include a graphical display of clinical progress and clinical activities. Data were extracted from clinical dashboards representing 256 youth (M age = 11.9) from 128 practitioners who were trained in the Managing and Adapting Practice (MAP)…
Descriptors: Clinical Experience, Documentation, Educational Technology, Charts
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Ediger, Marlow – College Student Journal, 2022
How frequently should pupils be tested in a given school year using standardized tests? Perhaps, once in a given school year which makes it possible for parents and teachers to notice how a child compares with cohorts in the nation in a specific school year. The results need careful reviewing in order to assist in making curricular decisions. Each…
Descriptors: Testing, Standardized Tests, Decision Making, Student Evaluation
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Gretchen Scheibel – TEACHING Exceptional Children, 2024
For the last decade, educators have been directed to use evidence-based practices in their classrooms. However, despite this direction, the use of these practices is not widespread in many classrooms. Though many resources exist to help educators locate and select these practices educators face barriers which make these practices infeasible or…
Descriptors: Students, Student Needs, Evidence Based Practice, Decision Making
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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
Chemir June Conyers – ProQuest LLC, 2024
This qualitative case study examined school-based administrators' perceptions of the impacts of the Multi-Tiered System of Support (MTSS) at the elementary level. Administrators play a vital role in enhancing student learning within education, which is crucial for driving academic achievement in the school environment. The study focused on the…
Descriptors: Administrators, Administrator Attitudes, Multi Tiered Systems of Support, Elementary Schools
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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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Filderman, Marissa J.; Barnard-Brak, Lucy – Journal of Applied School Psychology, 2023
Progress monitoring data are central to making informed decisions on intervention intensification for struggling learners. The general outcome measure (GOM) of curriculum-based measurement of oral reading fluency (CBM-R) has been found to correlate with high-stakes assessment; however, data are highly variable, resulting in decisions that must be…
Descriptors: Progress Monitoring, Outcome Measures, Curriculum Based Assessment, Mastery Learning
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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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Silva, Meghan R.; Collier-Meek, Melissa A.; Codding, Robin S.; Kleinert, Whitney L.; Feinberg, Adam – Contemporary School Psychology, 2021
Response-to-intervention (RtI) is a multi-tiered framework designed to prevent academic difficulties by facilitating robust, research-based instruction and providing targeted or individualized short-term interventions for students at-risk per periodic screening and progress monitoring data. The cornerstone of RtI is data-based decision-making to…
Descriptors: Data Collection, Data Analysis, Response to Intervention, Decision Making
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Dawes, Jillian; Solomon, Benjamin; McCleary, Daniel F.; Ruby, Cutler; Poncy, Brian C. – Assessment for Effective Intervention, 2022
The current availability of research examining the precision of single-skill mathematics (SSM) curriculum-based measurements (CBMs) for progress monitoring is limited. Given the observed variance in administration conditions across current practice and research use, we examined potential differences between student responding and precision of…
Descriptors: Curriculum Based Assessment, Mathematics Curriculum, Progress Monitoring, Accuracy
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Mason, Erica N.; Lembke, Erica S. – Assessment for Effective Intervention, 2023
Replication studies in special education are necessary to strengthen the foundation upon which instruction and intervention for students with disabilities are built. J. Jenkins et al. (2017) found intermittent reading fluency progress monitoring schedules did not delay decision-making and were similar in decision-making accuracy to the traditional…
Descriptors: Mathematics Instruction, Progress Monitoring, Incidence, Special Education
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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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