# data[].attributes.body
gives purpose

focused

# data[].attributes.headline
Sets purpose of the work we are doing, gives teachers a direction, and makes it relevant to them.

# data[].attributes.subject
Sets purpose of the work we are doing, gives teachers a direction, and makes it relevant to them.

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Sets the purpose

Makes connection from previous learning to new learning

Data-driven

Focused on student outcomes

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gives purpose

growth mindset - continuous learner

best practices, research based

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Teachers gain background knowledge and see something new to try. "This is the best practice." We see the research to prove it.

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Teachers gain background knowledge and see something new to try. "This is the best practice." We see the research to prove it.

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Teachers finding ways to use this new practice in their room. Time to think and collaborate, plan HOW to implement this in their classroom.  

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Teachers finding ways to use this new practice in their room. Time to think and collaborate, plan HOW to implement this in their classroom.  

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risk taking

time saving

collaboration

intentional groups to meet the needs of the learners

focused on the need and new learning

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As we implement new practice, gather data and look for the impact as we work through using the new practice. 

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As we implement new practice, gather data and look for the impact as we work through using the new practice. 

# data[].attributes.headline
Qualitative and Quantitative.  Teachers look at the impact their new teaching practice is having on students in scores, participation, engagement... Teachers make adjustments and think ahead for next steps to continue having positive impacts.  Think about what has worked, think about what the teacher might change in their implementation to make it stronger. 

# data[].attributes.subject
Qualitative and Quantitative.  Teachers look at the impact their new teaching practice is having on students in scores, participation, engagement... Teachers make adjustments and think ahead for next steps to continue having positive impacts.  Think about what has worked, think about what the teacher might change in their implementation to make it stronger. 

# data[].attributes.body
try what you are learning, risk-taking

cluster follow-up (choice)

intentional self-reflection (teacher as the learner)

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Model

Based on field testing

Research-based

Grounded in student work and student outcomes

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deeper analysis of student work

connecting student work to new learning

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Should be the biggest chunk of time

Narrow = actionable

Leads to application in the classroom

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Teachers take Cluster Development into action

Follow-up visits occur to see this happening

Teachers collect student work to bring back

Does student work match the goal of the Cluster?

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Mission accomplished?

Was their growth in student outcomes?