Use data collaboratively through a structured data analysis process among educators¶
Strategy · All strategies
Evidence · no claims cited
Description¶
This strategy positions data use as a collective sense-making activity rather than an individual task. The brief states that "Data are most powerful when they are used as part of a collective sense-making process among educators" and that working in a collaborative group with a structured data analysis process lets educators harness multiple perspectives and ideas and develop and implement responses more systematically to support improved learning outcomes.
Design Implications¶
Context¶
Requirements¶
- A structured data analysis process and a collaborative educator group
Constraints¶
Target Learners¶
- students served by educator teams analyzing data together
Target Learning Goals¶
- improved learning outcomes through systematic responses to data
Related Strategies¶
- Collective Data Analysis
- Interrogate bias in data analysis by unpacking biases with colleagues and building skills to name bias in action
- Use multiple, diverse data sources selected to offer distinct yet complementary information
- Preliminary Data Collection
- Keep students' lived experiences at the center of data use and ensure data reflect students' lives
Examples¶
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Key Sources¶
- Jessica Arnold, Julie Webb. (2024). 7 Recommendations for Using Education Data to Support Equitable Learning Outcomes. WestEd. https://eric.ed.gov/?id=ED655653
Page metadata
| Field | Value |
|---|---|
type |
strategy |
id |
collaborative-structured-data-analysis |
title |
Use data collaboratively through a structured data analysis process among educators |
description |
This strategy positions data use as a collective sense-making activity rather than an individual task. |
status |
review |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — jessica-arnold-2024 |
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