Study of Data-Driven Decision Making

Barbara Means, Christine Padilla, Angela Haydel DeBarger, Marianne Bakia, Eva Chen, Larry Gallagher, Marilyn Gillespie, Ann House, Natalie Nielson, Viki Young

The Study of Data-Driven Decision Making is being carried out by SRI International under contract with the U.S. Department of Education under the National Technology Activities task order. The study will document the availability of systems and supports for using data to improve instruction, and the prevalence and nature of data-informed decision making in districts and schools. It will examine the challenges that educators face in trying to use data systems in their efforts to improve instruction and the practices employed by districts and schools that have used data to inform their decisions and have obtained successful outcomes for their students. Data for the study will include case studies of 30 schools conducted during the 2006-07 school year and a nationally representative survey of 500 districts conducted in spring 2007. [study brochure]

In 2007-2008, analysis activities will focus on the case study data. The school-level and teacher-level data will be reported in an interim report to answer the following evaluation questions:

For a copy of the interim report see publication below.

In 2008, analysis activities focused on data from the district survey. Click here to see study survey. These analyses, along with prior analyses of data collected at the state, district, and teacher levels, will be combined in a final report. The final report will focus on the following additional evaluation questions:

For a copy of our 2009 AERA presentation on the district supports for data-informed decisionmaking, click here.

For a copy of our 2009 AREA presentation on the district's role in data informed decisionmaking, click here.

For a copy of our 2009 AERA presentation on professional develoment needs for data literacy, click here.

10/2005 - 9/2010 (current)

Funders & Clients 

U.S. Department of Education

Publications

Research Areas

Evaluation
Teacher Learning

Keywords 

data driven decision making
Education & Policy