Prioritized lever 1: Strong Leadership and planning
Data-Driven Instruction
What is Data-Driven Instruction?
Data-Driven Instruction (DDI) is a highly effective research-based training that requires deep analysis of student work. Administrators lead teachers on how to spend less time teaching students what they already know and more time on what they need. It also answers the questions, “How do I know if my students are learning? And if they aren’t, what do I do?”
First – teachers develop content knowledge by unpacking standards and analyzing aligned assessment items. Then they look at actual student responses through a Student Work Analysis Protocol to identify the gap between what students show and what they need to know. Finally they create and practice a targeted reteach plan focused solely on their students’ gaps. Campuses that have engaged in this training have seen huge increases in student mastery.
Observation & Feedback
Formative Assessment
Schoolwide Culture Routines
Critical Actions of Data-Driven Instruction
Data Driven Instruction addresses components of effective data meetings that include:
Preparing to
Lead
Data Meetings
Practicing and Simulating Effective
Data Meetings
Planning Types of Reteach: Modeling and Guided Discourse
Benefits of Data-Driven Instruction
In Data Driven Instruction, strong instructional leaders prepare, plan and practice leading effective data meetings. Understanding student mastery and intentionally teaching to address misconceptions ensures that teachers have time to teach what students need to know to prepare them for the next grade, course, and high-stakes testing.