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Amanda L. Witte; Lisa L. Knoche; Susan M. Sheridan; Natalie Koziol – Early Childhood Education Journal, 2025
The use of data to inform instruction has been linked to improved student outcomes, early identification of intervention needs, and teacher decision-making and efficacy. Additionally, data are used as a means of accountability within educational settings. However, little is known about data use practices among early grades teachers. The purpose of…
Descriptors: Early Childhood Teachers, Elementary School Teachers, Preschool Teachers, Data Use
Robin S. Codding; Amanda VanDerHeyden; Reina Chehayeb – Remedial and Special Education, 2024
This study extends prior research by manipulating both intervention and skill difficulty using a multiple baseline across participants design with changing phases in a virtual tutoring environment. Participants were four U.S. students from third and fifth grades for whom appropriate and challenging instructional targets were selected following…
Descriptors: Mathematics Instruction, Data Use, Teaching Methods, Intervention
Liebfreund, Meghan D.; Porter, Stephen R.; Amendum, Steven J.; Starcke, Matt A. – Elementary School Journal, 2022
The present study employed a difference-in-difference approach to determine the impact of a technologically enhanced diagnostic and formative assessment system implemented in one US state in kindergarten through third grade on school-level end-of-year third-grade reading test scores and percentage of students receiving special education services.…
Descriptors: Elementary School Students, Grade 3, Reading Tests, Scores
Amanda L. Witte; Lisa L. Knoche; Susan M. Sheridan; Natalie Koziol – Grantee Submission, 2023
The use of data to inform instruction has been linked to improved student outcomes, early identification of intervention needs, and teacher decision-making and efficacy. Additionally, data are used as a means of accountability within educational settings. However, little is known about data use practices among early grades teachers. The purpose of…
Descriptors: Early Childhood Teachers, Elementary School Teachers, Preschool Teachers, Data Use
Marrs, Heath; De Leon, Melissa; Lawless, Timothy – School Psychology Review, 2022
Disproportionality in the identification of disabilities among children who are culturally and linguistically diverse is an ongoing challenge for educators. A practice that may help address issues of disproportionality is the use of universal screening and progress monitoring data for academic skills as well as English language proficiency data to…
Descriptors: English Language Learners, Language Proficiency, Data Use, Oral Reading
Oslington, Gabrielle Ruth; Mulligan, Joanne; Van Bergen, Penny – Mathematics Education Research Group of Australasia, 2021
This longitudinal study aimed to determine changes in students' predictive reasoning across one year. Forty-four Australian students predicted future temperatures from a table of maximum monthly temperatures, explained their predictive strategies, and represented the data at two time points: Grade 3 and 4. Responses were analysed using a…
Descriptors: Foreign Countries, Thinking Skills, Prediction, Grade 3
Krumm, Andrew E.; Boyce, Jared; Everson, Howard T. – Journal of Learning Analytics, 2021
This paper describes a collaboration organized around exchanging data between two technological systems to support teachers' instructional decision-making. The goals of the collaboration among researchers, technology developers, and practitioners were not only to support teachers' instructional decision-making but also to document the challenges…
Descriptors: Cooperation, Data Use, Decision Making, Technology Uses in Education
Cumming, Joy; Goldstein, Harvey; Hand, Kirstine – Educational Assessment, Evaluation and Accountability, 2020
In Australia, under the National Assessment Plan, educational accountability testing in literacy and numeracy (NAPLAN) is undertaken with all students in Years 3, 5, 7 and 9 to monitor student achievement and inform policy. However, the extent to which these data have been analysed to report student progress is limited. This article reports a…
Descriptors: Accountability, Data Use, Indigenous Populations, Foreign Countries
Soland, James; Thum, Yeow Meng – Journal of Research on Educational Effectiveness, 2022
Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…
Descriptors: Academic Achievement, Longitudinal Studies, Data Use, Computation
Peters, Martin T.; Förster, Natalie; Hebbecker, Karin; Forthmann, Boris; Souvignier, Elmar – Journal of Learning Disabilities, 2021
In most general education classrooms in Germany, students with and without special educational needs are taught together. To support teachers in adapting instruction to these heterogeneous classrooms, we have developed learning progress assessment (LPA) and reading instructional materials, the "Reading Sportsman" (RS), in line with the…
Descriptors: Data Use, Decision Making, Reading Fluency, Reading Comprehension
Foster, Elizabeth – Learning Professional, 2019
A recent qualitative study by a team of researchers looked into how grade-level teams of teachers are thinking about causes and strategies based on looking at student performance data. What is interesting in these findings is how infrequently teachers attribute student results to instruction -- just 15% of the time. Teachers in this study were…
Descriptors: Teacher Attitudes, Academic Achievement, Teacher Student Relationship, Data Use
Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2021
Although the number of countries conducting large-scale assessments has increased significantly over the past two decades, this has not necessarily led to the effective use of learning assessment data in policy-making and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…
Descriptors: Foreign Countries, Measurement, Data Use, Educational Planning
Keuning, Trynke; van Geel, Marieke; Visscher, Adrie; Fox, Jean-Paul – Journal of Educational Measurement, 2019
Data-based decision making (DBDM) is presumed to improve student performance in elementary schools in all subjects. The majority of studies in which DBDM effects have been evaluated have focused on mathematics. A hierarchical multiple single-subject design was used to measure effects of a 2-year training, in which entire school teams learned how…
Descriptors: Data, Decision Making, Elementary School Students, Mathematics Instruction
Chaparro, Erin A.; Smolkowski, Keith; Jackson, Kathleen Ryan – Learning Disability Quarterly, 2020
Oregon's Effective Behavioral and Instructional Support Systems (EBISS) initiative was implemented in 25 school districts. The initiative trained and coached district leaders and teachers in the use of the EBISS model through the lens of implementation science. The EBISS model integrates school-wide positive behavior intervention and supports…
Descriptors: Positive Behavior Supports, State Programs, Coaching (Performance), Professional Development
Bulgakov-Cooke, Dina; Singh, Malkeet – Wake County Public School System, 2018
The Multi-Tiered System of Support (MTSS) framework, which uses a systems approach to promote school improvement and support all students in improving academics and behavior using data-based problem-solving, is a key part of the Wake County Public Schools System (WCPSS) Strategic Plan. As of 2017-18, MTSS schools were at the initial stages of MTSS…
Descriptors: Program Effectiveness, Reading Achievement, Academic Achievement, Student Behavior