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YouthTruth Resource Backpack | Making Meaning of Results

Use these tools to help your teams make meaning from survey results.
Back to the Backpack
Making Meaning from the Data

Making Meaning from the Data

The 4 D's
The 4 D's
Use this presentable slide to help prepare groups to reflect on results while also avoiding these four common synthesis pitfalls: 

  1. Defensive
  2. Dismissive
  3. Dejected
  4. Downplay the negative
Download Presentation
3 Guiding Questions from Jen Wilka
3 Guiding Questions from Jen Wilka

Education Week Article by YouthTruth: 3 Questions to Guide Your Use of Student Feedback

Jen Wilka is executive director at YouthTruth

Education is one of the few industries, perhaps the only one, in which everyone has a firsthand experience and a valid opinion. That translates into lots of ideas from various stakeholders about what should be done differently to improve schools. But why is it that the ideas of the people we’re ultimately trying to serve, and arguably those most affected — the students — tend to be the last voices heard and acted upon?

Part of the reason is that it’s not always easy to use student feedback productively — or at all!

While there are many ways to get student feedback, the focus of our work at YouthTruth, a national nonprofit based in San Francisco, is through surveys. Here are three ideas and key questions to help get the most out of student feedback for school improvement.

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Using the Ladder of Inference
Using the Ladder of Inference
Educators have an ever-increasing stream of data at their fingertips, but knowing how to use this data to improve learning and teaching — how to make it less overwhelming, more useful, and part of an effective collaborative process — can be challenging.
Data Gallery Walk Facilitation Guide

Data Gallery Walk Facilitation Guide

Data Equity Walk
Data Equity Walk

The Education Trust—West’s Data Equity Walk can be used to dive into your school or district’s data to explore gaps between how different groups experience school.

Learn More!
Diving into the data

Diving into the data

The Affinity and Question Formulation Technique Protocols
Learning from Data Protocol
The Affinity and Question Formulation Technique Protocols
Data Wise, edited by Kathryn Parker Boudett, Elizabeth A. City, and Richard J. Murnane, is a step-by-step guide to using assessment results to improve teaching and learning. We’re highlighting two of our favorite and most-used protocols to help you and your teams make meaning from survey results:

  • The Question Formulation Technique – useful for helping a group of people fully explore an issue before jumping in to a discussion
  • The Affinity Protocol – useful for facilitating a group hypothesizing session to explore what may underlie an identified issue in order to work towards solutions
Download the protocol
Learning from Data Protocol
Learning from Data is a tool to guide groups of teachers discovering what students, educators, and the public understand and how they are thinking. The tool, developed by Eric Buchovecky, is based in part on the work of the Leadership for Urban Mathematics Project and the Assessment Communities of Teachers Project. Use this protocol for:

  1. Setting norms and getting started with data reflection
  2. Describing your data and gathering information
  3. Interpreting your data and question generation
  4. Planning next steps and strategies
Download the Protocol
For Students: Respect

For Students: Respect

Respect: Looks like/Sounds like
Respect: Looks like/Sounds like

Use this worksheet to help set norms for high-quality listening with groups of students.

Download Worksheet

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