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Direct linkMarsh, Julie A.; McCombs, Jennifer Sloan; Martorell, Francisco – Educational Policy, 2010
This article examines the convergence of two popular school improvement policies: instructional coaching and data-driven decision making (DDDM). Drawing on a mixed methods study of a statewide reading coach program in Florida middle schools, the article examines how coaches support DDDM and how this support relates to student and teacher outcomes.…
Descriptors: Middle Schools, Decision Making, Data Analysis, Program Implementation
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
Karr, Kerri A.; Marsh, Julie A.; Ikemoto, Gina Schuyler; Darilek, Hilary; Barney, Heather – American Journal of Education, 2006
The current high-stakes accountability environment has created strong incentives for educators to systematically collect and use data to inform instructional decisions. This article examines the strategies employed by three urban school districts to promote data use for instructional improvement and their effect on administrator, principal, and…
Descriptors: Data Analysis, Instructional Improvement, Urban Schools, Accountability
