Making Sense of Data-Driven Decision Making in Education: Evidence from Recent RAND Research

Julie A. Marsh, John F. Pane, Laura S. Hamilton

2006-01-01bookRAND Corporation eBooks202 citationsbronze

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Educational Assessment and Improvement School Choice and Performance Online Learning and Analytics

Abstract

Drawing on RAND research, this paper examines data-driven decision making (DDDM) policies and practices, clarifies how data are being used in schools and districts, identifies factors that support or hinder DDDM, and suggests future research in the field. A few implications are that schools and teachers need support to implement effective DDDM and that utilizing multiple data types collected at multiple time points can improve decision making.

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