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Day 21: Coaching Data-Driven Small Groups with AIEvery classroom tells a story through data — from daily exit tickets to MAP Growth reports. For coaches and administrators, the goal isn’t just to collect data but to model how to turn it into meaningful action.
With the right systems — and a little AI support — you can help teachers translate spreadsheets into strategies, reports into relationships, and assessments into personalized learning opportunities. AI tools streamline the data cycle, helping educators analyze MAP, formative, and summative results in minutes, identify trends, and generate small-group ideas aligned to standards. When coaches model this process, they empower teachers to make data-driven instruction feel manageable, safe, and effective. Daily Challenge: Build Your AI Leadership Toolkit Today’s challenge focuses on coaching teachers to turn classroom data into action using AI tools. As an instructional leader, your role is to model how to safely analyze MAP, formative, and summative data to create small, flexible groups that drive growth. Use anonymized data—such as RIT ranges or class averages—to protect privacy while showing how AI can:
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Daily Download: AI Coaching Toolkit for Leaders
“AI Small-Group Planner”
A ready-to-use template that guides coaches and teachers through:
A ready-to-use template that guides coaches and teachers through:
- Selecting and summarizing key data points (MAP, formative, summative).
- Using AI prompts to identify instructional priorities.
- Building rotation schedules and goal trackers.
- Reflection prompts for progress monitoring.
Bonus AI Prompts for Coaches & Leaders
Use these ready-to-go prompts to make your data-drive learning workflow even more efficient:
- “Create a 10-minute small-group plan for students scoring between 190–200 RIT on [standard]. Include an opening question, hands-on practice, and quick exit check.”
- “From this formative data, identify the top 3 skills for reteaching and generate an anchor chart outline.”
- “Summarize student trends across MAP and summative data in a one-paragraph data story for PLC discussion.”
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