1. Visual Anchor (Poster Content)
Clear display of the “numbers to narratives” framework.
Side-by-side examples: raw benchmark data vs. reframed classroom stories.
Visuals from grade-level goal setting (e.g., PEERS goals, problems of practice).
2. Key Explanations (Talking Points)
How benchmark trends (not individual scores) inform instructional practices.
Shifting teacher mindset: moving from data fear to instructional empowerment.
How continuous improvement cycles guide next steps.
3. Attendee Interaction (Brief Conversations)
Prompt attendees to share how data is currently used in their setting.
Quick discussion: barriers to data use, strategies to reframe as narratives.
Provide guiding questions on poster for self-reflection.
4. Tangible Takeaways (Handouts / QR Links)
1-page overview of the framework.
Example of a PEERS goal tied to benchmark data.
Reflection template for starting a “problem of practice” with any data source.
5. Closing Engagement
Invite attendees to identify one way they might reframe data as story in their school.
Collect ideas via sticky notes or digital form (optional).
After this session, participants will be able to…
Analyze benchmark data for grade-level trends that inform instructional decisions in English and social studies.
Frame learner-centered problems of practice that turn data into meaningful instructional goals.
Apply continuous improvement strategies to refine teaching practices based on data narratives.
Identify practical approaches for shifting teacher mindsets from data fear to data-driven instructional action.
Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning (Harvard Education Press, Boudett, City, & Murnane).
“Data-based decision-making for school improvement” (K. Schildkamp, 2019)
Continuous Improvement in Education: A Toolkit for Schools and Districts — U.S. Institute of Education Sciences.
Posters in this theme:
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