Looking at Data: The Data Wise Process - CNYRIC
Examining Data through the Data Wise Process
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A Continuous Improvement Model for Utilizing Data to Inform Instruction
Examining Data through the Data Wise Process
1. Organize for Collaborative Work
• Build Data Teams to organize data and facilitate data use
- Members of team?
- Level of teams? District? Building? Grade?
• Establish team structure within schools to allow for data discussions
• Establish norms for collaborative work
• Use protocols to structure conversations
• Complete Data Inventory
2. Build Assessment Literacy
• How do we define assessment?
• Understand different types of assessments and the various scales
• Familiarize data team with key concepts around test data
3. Create Data Overview
a. Preparation by data team
• Decide on educational questions
• Begin with overview of standardized test results
• Utilize data analysis tools
• Create graphic displays
b. Data Analysis Protocol
i. Activating and Engaging Stage (Data-Driven Dialogue)
• Complete prior to viewing data
• Review norms
• Surface experiences and expectations
- What are some predictions we are making?
- With what assumptions are we entering?
- What are some questions we are asking?
- What are some possibilities for learning that this experience presents to us?
ii. Explore and Discover – Analyze the data (Data-Driven Dialogue)
• Choose a single data source as a starting point for analysis
• First only focus on what you see
- What important points seem to “pop out”?
- What patterns, categories or trends are emerging?
- What seems to be surprising or unexpected?
- What have you learned from the data?
• Generate additional questions
- What are some things we have not yet explored?
- Prioritize the questions
- Identify additional needed data
4. Dig into Student Data
a. Utilize quantitative and qualitative information to identify a “learner-centered problem”
b. Repeat steps in Data Analysis Protocol as needed to generate theories
• What inferences/explanations/conclusions might we draw?
• What additional data sources might we explore to verify our explanations? (triangulate data)
c. Identify a “learner-centered problem”
• The skills or knowledge around which your students need the most support
5. Examine Instruction
• Identify best practices
• Develop shared understanding of what effective instruction around this issue would look like
6. Develop an Action Plan
• Decide on an instructional strategy to address student need
• Articulate plan on paper including professional development and implementation
7. Plan to Assess Progress
• Set clear goals for student improvement
• Determine what data to collect and when
8. Act and Assess
• Implement action plan and test theories
Resources:
Boudett, K., City, E., and Murnane, R. Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning. Cambridge, MA: Harvard Education Press, 2005.
Wellman, B. and Lipton, L. Data-Driven Dialogue: A Facilitator’s Guide to Collaborative Inquiry. Sherman, CT: MiraVia, LLC, 2004.
Work of Data Teams
1. Organize for Collaborative Work
• Establish norms for collaborative work (Norms Protocol)
• Build foundation for collaboration
- Compass Points Protocol
- Hopes and Fears Protocol
• Utilize protocols to structure conversations
• Create Data Inventory
- Types of assessments in district (consider quantitative and qualitative)
- Purpose of assessments
- Current use and better use of data
- Users of data
- Data Wish List
2. Build Assessment Literacy
• How do we define assessment?
• Understand different types of assessments and the various scales
• Familiarize data team with key concepts around test data
• Train data team in various analysis tools and identify sources of data
- nySTART and NYS Media Databases
- COGNOS PowerPlay
- COGNOS ReportNet
- Data Mentor
- Student management systems
3. Create Data Overview
• Determine audience
• Decide on educational questions
• Begin with overview of standardized test results
• Utilize data analysis tools to create graphic displays
4. Present Data Overview and Facilitate the Data Wise Process
• Utilize protocols to provide structure, balance participation, promote a risk-free environment, and foster dialogue and shared understanding of data
• Facilitate process
• Continue to provide data as needed
Resource:
Boudett, K., City, E., and Murnane, R. Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning. Cambridge, MA: Harvard Education Press, 2005.
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Note: Refer to “Work of Data Teams”
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