In many ways, data-driven decision making (D3M) in education is an old idea packaged as a new one. As far back as anyone can remember, teachers have given their students regular quizzes, projects, and tests. When students performed poorly, "data-driven" teachers retaught the material or tried to figure out what went wrong. Without the benefit of spreadsheets or data displays, teachers have attempted to tailor their instruction to different groups of students. To be sure, there have been assumptions, blindspots, and kids overlooked, but the fundamental idea of teaching, assessing, figuring out what works for whom, and re-teaching is as old skool as Tupac.
Walk into any school's faculty meeting, and you'll think you've stumbled into a tongue twister competition. The push for data-driven decision making, DDDM, D3M - whatever you prefer to call it - is everywhere. This week I'll explore what data-driven decision making can and can't do for education and share some of the research on how data are currently used in schools.
Brienna Kollock, a 2nd grader, reads at her desk at Lulu M. Ross Elementary School in Milford Del., where students' test scores are closely monitored to identify academic needs.
Delaware's early commitment to standards-based accountability may have helped push it from the low tier of states to well above the U.S. average on national tests in reading and mathematics.
This four-part series examines the movement to make education research more "usable" and explores some efforts to connect the worlds of research and practice.
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