Data Driven Instruction


    Data Driven Instruction is a systematic approach to improving student learning throughout the year. The cycle of data-driven instruction includes assessment, analysis, and action and is a key framework for school-wide support of all student success.


    Districts across the country are employing data-driven decision making techniques not only to analyze test scores and student achievement, but also to narrow achievement gaps between student subgroups, improve teacher quality, improve curriculum, share best practices among schools and districts, communicate education issues more effectively with key stakeholders, promote parental involvement in the education process and increase dialogue within the educational community. In its most basic form, data-driven decision making is about collecting appropriate data, analyzing that data in a meaningful fashion, getting the data into the hands of the people who need it, using the data to increase school efficiencies and improve student achievement, and communicating data-driven decisions to key stakeholders