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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