Mastering the Data-Driven Instruction Cycle: Action & Monitoring

Sometimes, as leaders, we can be quick to move to solutions because we are eager to make change. But failing to set the proper foundation before implementation can undermine success. The same is true with data-driven instruction. Most schools have data, but not all schools create a culture for data-driven instruction that zeroes in on teacher growth and elevates learning for all students. In this workshop, leaders, educators, and schools unpack the Data-Driven Instruction Cycle (DDI). They examine effective strategies to build a data-driven culture, create staff buy-in, and avoid common pitfalls. They learn to assess their readiness for DDI and determine specific areas of improvement for moving forward. By developing these necessary conditions, schools ensure DDI is implemented with fidelity and equity.

This workshop takes a deep dive into the assessment and analysis components of the Data-Driven Instruction Cycle (DDI), where you’ll learn how to get to the root cause of what’s really going on when it comes to student achievement. Learn how to critically examine current assessments, ensuring they’re aligned with rigor expectations and standards. Practice developing standards-aligned assessment tasks, also evaluating them for rigor. Disaggregate and analyze data through multiple levels—standards, student, and item—in a way that cares for every student, especially those historically silenced by data. This kind of intentional and in-depth data analysis provides powerful insights to inform next steps and shift instruction to directly, and equitably, meet student learning needs.