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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
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
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
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
E. Snyder; S. E. Witmer – Preventing School Failure, 2025
Effective inclusion of English Learners (ELs) in multi-tiered systems of support (MTSS) is necessary for this growing subset of students to access the intended outcomes of MTSS, specifically improved academic outcomes. Facilitating MTSS systems that are appropriately responsive to the heterogeneous needs of ELs may be particularly challenging. In…
Descriptors: English Language Learners, Multi Tiered Systems of Support, Reading Instruction, Elementary School Teachers
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
Hanauer, Matthew; Yel, Nedim – Research in the Schools, 2018
Bayesian analysts use informed priors to improve analytic precision and prediction; however, rarely have they applied a mixed methods approach that uses qualitative data to develop these priors. Yet, using qualitatively informed priors can be useful when making predictions in the context of small sample sizes, which is common in school-based…
Descriptors: Decision Making, Response to Intervention, Mixed Methods Research, Bayesian Statistics
Lazarus, Sheryl S.; Hayes, Susan A.; Howe, Carla; D'Agord, Cesar; Liu, Kristin K.; Hawes, Maureen E.; Thurlow, Martha L. – National Center on Educational Outcomes, 2018
The U.S. Department of Education's Office of Special Education Programs (OSEP) implemented Results Driven Accountability (RDA) in 2014 to help improve the educational outcomes of students with disabilities. As part of RDA, states were required to develop a State Systemic Improvement Plan (SSIP), which is a comprehensive, multi-year plan designed…
Descriptors: Accountability, Outcomes of Education, Disabilities, School Districts
McCollow, Meaghan M.; Hoffman, Holly H. – Young Exceptional Children, 2020
Implementing evidence-based practices requires not only knowledge of various interventions and practices but also professional judgment in selecting and applying an intervention that best meets the needs of the child and the family. Previous work on decision-making in evidence-based practices has focused on describing evidence-based practices, how…
Descriptors: Evidence Based Practice, Decision Making, Best Practices, Intervention
Samantha A. Gesel – ProQuest LLC, 2019
Using data to inform instructional decisions is a pillar of special education practice. Curriculum-based measurement (CBM) is a systematic, ongoing assessment framework that allows special educators to monitor the progress of their students to determine the need for instructional adaptations. CBM and data-based instructional decision-making have a…
Descriptors: Progress Monitoring, Curriculum Based Assessment, Reading Instruction, Special Education Teachers
Gesel, Samantha A.; LeJeune, Lauren M.; Chow, Jason C.; Sinclair, Anne C.; Lemons, Christopher J. – Journal of Learning Disabilities, 2021
The purpose of this review was to synthesize research on the effect of professional development (PD) targeting data-based decision-making processes on teachers' knowledge, skills, and self-efficacy related to curriculum-based measurement (CBM) and data-based decision-making (DBDM). To be eligible for this review, studies had to: (1) be published…
Descriptors: Professional Development, Inservice Teacher Education, Preservice Teacher Education, Elementary Secondary Education
Jenkins, Joseph; Schulze, Margaret; Marti, Allison; Harbaugh, Allen G. – Exceptional Children, 2017
We examined the idea that leaner schedules of progress monitoring (PM) can lighten assessment demands without undermining decision-making accuracy. Using curriculum-based measurement of reading, we compared effects on decision accuracy of 5 intermittent PM schedules relative to that of every-week PM. For participating students with high-incidence…
Descriptors: Curriculum Based Assessment, Reading Achievement, Progress Monitoring, Comparative Analysis
Lemons, Christopher J.; Sinclair, Anne C.; Gesel, Samantha; Gandhi, Allison Gruner; Danielson, Louis – Journal of Special Education Leadership, 2019
Special education administrators at both the district and school level are serving in critical roles that uniquely position them to improve academic and behavioral outcomes of students with disabilities by ensuring the special education teachers under their supervision are prepared to deliver an evidence-based form of intensive…
Descriptors: Special Education, Intervention, Educational Administration, Administrator Role
Anderson, Susan; Griffith, Robin; Crawford, Lindy – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2017
This study provides insight into preservice teachers' experiences with integrating technology into lessons with children who had mild learning disabilities. Participants included 14 junior early childhood education majors enrolled in a special education course with a fieldwork component. The researchers collected and analyzed lesson plans, journal…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Special Education, Preservice Teachers
Lane, Kathleen Lynne; Oakes, Wendy Peia; Ennis, Robin Parks; Hirsch, Shanna Eisner – Preventing School Failure, 2014
In comprehensive, integrated, three-tiered models, it is essential to have a systematic method for identifying students who need supports at Tier 2 or Tier 3. This article provides explicit information on how to use multiple sources of data to determine which students might benefit from these supports. First, the authors provide an overview of how…
Descriptors: Disability Identification, Progress Monitoring, Data, Decision Making
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