Data Driven Instruction is a comprehensive look at student assessment data. With the support of school leaders, teachers analyze student assessment data, including daily common assessments, interim assessments, and end-of-year assessments, to help them plan for future instruction. The goal of data driven instruction is to collaboratively analyze the effectiveness of instruction on student performance to improve student achievement. The emphasis of analyzing student assessment data is to help improve instructional practices to lead students to realize higher achievement gains.
As a part of our DDI process, staff take 'data walks' which are sharing of their interactive student data walls in their classroom communities.
Staff meet in our team room weekly for grade level common planning meetings. Students are given universal screeners four times a year to monitor progress. Teams take this data through a data analysis cycle for action steps. This has lead to dramatic improvement in student achievement growth in reading and math.