data-driven instruction

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Data-Driven Instruction

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Math Data-Driven Instruction

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Page 1: Data-Driven Instruction

Data-Driven Instruction

Page 2: Data-Driven Instruction

Why?? • Collecting meaningful data through regular assessment

gives us the opportunity to:

• Be More Intentional in Our Teaching • Ensuring that we’re considering the needs of all our students—

Regular assessment is the first step to effective differentiation.

• Identify and Remediate Gaps in Learning Through RtI • This is especially important this year as we transition.

• Measure Growth with Initial & Summative Assessments (replaces the previous end of year assessment)

• Key to share with Students, Parents, School Board, Community

Page 3: Data-Driven Instruction

2 Steps to Data- Driven Instruction

0 Assessment 0 Initial/Diagnostic/Benchmark

0 First 1.5 Weeks (or when a student joins your class)

0 Formative 0 On-going

0 Summative 0 Final

0 Differentiation 0 Math Groups

0 Changing the way we approach math instruction

0 RtI 0 Tier 1 will have trouble with the lesson at hand.

0 Most Tier 1 interventions will be in your TE or in the Reteach book

0 Tier 2 several gaps in prior knowledge 0 Strategic Intervention (Online Resources)

0 Tier 3 more than 1 year behind 0 Intensive Intervention (Online Resources)

Page 4: Data-Driven Instruction

Diagnostic:

▫ Beginning-of-Year Test***

▫ Prerequisite Skills Inventory

▫ “Show What You Know”

At the beginning of each chapter

Identifies students’ levels of preparation for the content

Diagnostic charts help teachers identify what interventions are necessary before beginning chapter instruction

▫ Diagnostic Inventory Assessment

Formative:

▫ Lesson Quick Check

Every day

Diagnostic Charts help teachers identify issues and implement interventions

“Common Errors” / “Springboard to Learning”

▫ Mid-Chapter Checkpoint

▫ Portfolio Assessment

▫ Middle-of-Year Test

▫ Test Prep

Summative:

▫ Chapter Review/Test

▫ Chapter Test

▫ Performance Assessment

▫ End-of-Year Test***

Assessment

Page 5: Data-Driven Instruction

Assessment Diagnostic:

▫ Pre-Course Test with Item Analysis

• The Pre-Course Test covers material that students should be familiar with from earlier courses. The Item Analysis can be used to determine topics that need to be reviewed.

▫ “What You Learned Before”

At the beginning of each chapter

Identifies students’ levels of preparation for the content

“Fair Game Review”

Formative:

▫ Homework Check

Every day

Diagnostic Charts help teachers identify issues and implement interventions

“Common Errors”

Chapter Quizzes (2 per chapter)

Vocabulary & Concept Check

Mini Assessment

▫ Standardized Test Prep

Summative:

▫ Chapter Review/Test

▫ Chapter Test (Customizable Disk)

▫ Project-based Assessment

▫ End-of-Course Test

Page 6: Data-Driven Instruction
Page 7: Data-Driven Instruction

Teachers & Schools Can Strategically Improve Instructional Practices:

• A data-driven decision making system allows administrators and

teachers to adopt a proactive approach to curriculum design and development.

• Demographic data can be used to provide valuable information

about meeting the learning needs of students now and in the future.

Page 10: Data-Driven Instruction

Just because I can… Einstein in

fuzzy slippers!

Stephanie Heath Nash, 2012