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Data Informed Instructional Planning: Using Data to Drive More Equitable Instruction

This session offers a hands-on opportunity for educators to engage in deep and meaningful data-driven dialogue. Teams will examine their own classroom data to learn how to pinpoint student learning challenges, select instructional interventions, and monitor progress toward reaching student learning goals.

During the first part of this session, participants will learn about and workshop a process for identifying and unpacking classroom data, understanding and analyzing patterns in the data, and developing a plan for improvement based on the data analysis. In the second half of the session, teacher teams will work together to examine data from their own classrooms, discuss patterns in student performance, and engage in collaborative sense-making. Teams will focus on identifying areas for improvement, using data to plan specific adjustments to instruction, and developing a plan for monitoring progress and growth in student learning.

This event is designed for grade-level or content-specific teacher teams of 2-7 people. Teams of classroom teachers might include support from a school administrator, a curriculum specialist, or special education and ELL specialists who attend the workshop as part of the team.

Outcomes

At the Great Schools Partnership, our goal is to provide you with the knowledge and tools you need to make progress in your school, district, or community. As a participant, you will:

Agenda

Data Informed Instructional Planning – DAY 1
Welcome and review agenda
Why data matters
Data, Data Everywhere: Sources to Consider
A data analysis process
Data Dive: Hands-on Practice
Closing
Data Informed Instructional Planning - DAY 2
Welcome and review agenda
Identifying a problem statement
Make a Plan: Creating a Data Action Plan
Next steps and commitments
Closing

Discover Data Informed Instructional Planning

For pricing and scheduling, please contact Paulina Murton at pmurton@greatschoolspartnership.org or click the button below.

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