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Data-Driven Planning for Teachers

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Quick true/false on data-informed teaching

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Data-Driven Planning for Teachers
 

Data-Driven Planning for TeachersOnline version

Quick true/false on data-informed teaching

by Kristy
1

High Leverage Practice 6 contains four embedded practices to be considered as well.

2

Interpreting and communicating data is the most important part of the data-driven planning cycle.

3

All students respond identically to the same intervention when data-driven.

4

Data-driven planning relies solely on end-of-year test scores.

5

Data should be used to develop IEP goals, design instruction, track student performance, and for teachers to evaluate their own effectiveness.

6

Privacy concerns are ignored to maximize data collection.

7

Data-driven planning eliminates the need for professional judgment.

8

Data-driven planning involves setting measurable objectives based on data.

9

Formative assessments are used regularly to monitor progress and adjust instruction.

10

Data should be collected but not analyzed, so planning occurs without it.

11

Teachers use assessment data to identify learning gaps and plan interventions.

12

Data literacy helps teachers interpret trends in student performance.

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