Welcome everyone! Today, we’ll explore how to read and interpret student progress data so we can plan targeted instruction. Introduce the lesson objectives: analyzing patterns, discussing in groups, and preparing for our rubric activity.
Why Analyze Data Patterns?
Explain why patterns matter: tracking growth helps us catch issues early, identify strengths, and tailor lessons. Encourage questions.
Example: Weekly Reading Scores
Show the weekly reading scores. Ask: “What trend do you notice? What might be contributing to this change?”
Example: Math Fluency Checks
Introduce the math fluency checks. Point out how Student A’s scores fluctuate while Student B shows steady improvement. Ask students to note differences.
Define common patterns. Ask students for real-life classroom examples of each.
Prompt students to pair up and work through the three questions. Circulate, listen, and guide them toward evidence-based observations.
Wrap up by previewing our Data-Driven Instruction Rubric. Explain that we’ll use it to turn today’s insights into actionable lesson plans.
