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Data use

Data-driven decision making takes a big-picture view of the needs of teachers and students

By Victoria Bernhardt
January 2009
In July 2006, eight members of the Marylin Avenue Elementary School leadership team from Livermore, Calif., arrived at the annual Education for the Future Summer Data Institute in Chico, Calif., eager to learn how to employ data-driven decision making to change their school. Data-driven decision making is the process of using data to inform decisions to improve teaching and learning. Schools typically engage in two kinds of data-driven decision making — at the school level and at the classroom level. The first leads to the second. At the school level, staff members look at all the data to: Understand where the school is; Understand how they got to where they are; Know if the school is meeting its goals and achieving its vision; Understand the

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References

Bernhardt, V.L. (2003). Using data to improve student learning in elementary schools. Larchmont, NY: Eye on Education.

Bernhardt, V.L. (2004). Using data to improve student learning in middle schools. Larchmont, NY: Eye on Education.

Bernhardt, V.L. (2005). Using data to improve student learning in high schools. Larchmont, NY: Eye on Education.

Bernhardt, V.L. (2006). Using data to improve student learning in school districts. Larchmont, NY: Eye on Education.

Marylin Avenue School. (2006). Marylin Avenue School data portfolio.

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