Data Ethics, Equity, and Stories
Examine how data can perpetuate or disrupt inequity — understand bias in assessment design, the danger of deficit narratives, disaggregation as a justice tool, and the ethical obligations of holding student data.
What you'll walk away with
Identify how data practices can perpetuate deficit narratives and applies asset-based reframing techniques
Conduct a data equity audit examining whose performance is visible, whose is aggregated away, and whose story the data tells
Apply ethical data principles (privacy, consent, purpose limitation, disaggregation) to classroom and school data practices
Facilitate data conversations that resist confirmation bias and surface multiple interpretations of the same evidence
How a Learning Series works
Work through the snacks — short, evidence-based lessons that build your understanding. Each one gives you research, a classroom connection, and one thing to try or discuss.
Test your understanding in a low-stakes mini-experiment before you bring it to your classroom. Leverage our downloadable materials to support you in your teaching and classroom practice and let us know how it goes!
For credit towards an Accingo Course certificate, try something from this series in your own classroom, then complete a short, structured reflection on what you learned and what you would bring to your PLC and/or regular practice. You will see "Application Artifact" if required.
