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Identify the purpose of the data to be analyzed

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Evaluate data against the effectiveness of the strategies implemented

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Practice and Rehearse; recommendations would be to model at a PLC meeting or provide a script 

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Practice and Rehearse; recommendations would be to model at a PLC meeting or provide a script 

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Evaluating data while keeping the strategies used to teach those standards.

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Recommendations to improve this is to have a short list of data sources to reference

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Evaluate data against the effectiveness of the strategies implemented

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Evaluate data against the effectiveness of strategy implemented

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Evaluate data against the effectiveness of the strategies implemented

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Really understanding the data from the embedded assessments and how to analyze it effectively.

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During Regular and Rigorous Data Meetings, ensuring time is allotted for next steps. As analyzing data, find trends and identifying students that fall into those the bucket. Create timely, effective, and rigorous small group activity (Think through logistics).

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Spiraling and reteaching strategies, using data and small groups.

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....differentiated student support. It's sometimes difficult within a "boxed curriculum."

Protocols that identify larger student performance cohorts and protocols for personalized learning.

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Analyzing data thoroughly/effectively and willingess to be open and share data with PLC members for the benefit of improving student outcomes for all students. I would recommend a suggested data evaluation protocol for PLCs that may not know how to evaluate multi-standard assessments effectively to decide action steps. I would also suggest a collaboration protocol for PLCs to develop and maintain openness in sharing data with each other. For example, if we find on a multi-standard assessment my students missed the mark on a specific standard but another member of the PLC did well on that standard, it would make an excellent discussion point on how the content was approached, strategies that were used and how I can improve.