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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
Leah Dey Cochran Zigmund – ProQuest LLC, 2021
Using data to inform decision-making in the educational environment has increased over the last decade due to accountability requirements at the federal, state, and local level (Bernhardt, 2013; Datnow & Hubbard, 2016; Garland, 2014; Mandinach & Gummer, 2016; McKay, 2018; Wayman, 2005). While research supported the inclusion of data in…
Descriptors: Public School Teachers, Data Use, Decision Making, Teacher Behavior
Marie Elizabeth Palano – ProQuest LLC, 2020
This study examines administrator perceptions of Pennsylvania's state assessment data. This study had three main purposes. The first purpose was to investigate the value and utility of state assessment data to inform decision making and the possibility of improving student achievement through the routine use of state assessment data. The second…
Descriptors: Administrator Attitudes, Data Use, Data Analysis, Academic Achievement
Auspos, Patricia – Annie E. Casey Foundation, 2017
Integrated data systems are often used to inform decision making at the top tiers of local or state government. Policymakers use analyses based on large numbers of integrated data system (IDS) records (from which personal identifying information has been removed) to understand the overlap between cases that receive services from different systems…
Descriptors: Prediction, Models, Data Use, Databases
Marsh, Julie A.; Pane, John F.; Hamilton, Laura S. – RAND Corporation, 2006
Data-driven decision making (DDDM), applied to student achievement testing data, is a central focus of many school and district reform efforts, in part because of federal and state test-based accountability policies. This paper uses RAND research to show how schools and districts are analyzing achievement test results and other types of data to…
Descriptors: Data Use, Decision Making, Data Analysis, Educational Improvement