DataDriven Goals Workshop

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Data-Driven Goals Workshop

• Analyzing Data to Improve Student Learning

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Purpose

• To analyze data patterns that form the basis of
  improvement plans. The ultimate goal is improved
  student learning and achievement results.

Student Patterns
RESULTS
Achievement Patterns
Program Quality Patterns
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Eight Steps

• Organizing and Setting Context
• Collecting and Organizing Data
• Analyzing Data Patterns
• Developing Hypothesis

• Refining Improvement Goals
• Refining Action Plans
• Defining Evaluation Criteria
• Making the Commitment

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The Analysis Process
1. AnalyzeAchievement Data
4. Analyze Program Implementation Data
3. Analyze Student Program Data
2. Analyze Demographic Characteristics
5. Analyze Perceptions Data
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Highlighting the Data
BlueWOW! Beyond Expectations (90 )
GreenGood! Meets Expectations (80-89)
YellowCaution! Below Expectations(70-79)
PinkURGENT! In Need of Immediate Improvement
(0-69)
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Summarize Patterns

• Patterns of Strength

• Patterns of Problems

Rank order according to urgency. The basis of
improvement plans.
Use positive findings in public relations.
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Making the Commitment
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For more information

• Judy Sargent
• Region 7 CESA
• Green Bay, WI
• NCREL Data Retreats
• Contact Scott Jones
• scott.jones._at_ncrel.org
• 630-649-6624