Learning series

Data Science Foundation for Teachers

Build foundational data literacy — understand what data is, what types exist in schools, how to read visualizations, and how to ask the right questions of data before jumping to conclusions.

This series is Coming Soon

What you'll walk away with

Distinguish between quantitative and qualitative data sources in schools and identifies the appropriate use of each

Read and critically evaluates data visualisations, identifying misleading presentations and missing context

Formulate specific, answerable data questions before examining data rather than searching for patterns retrospectively

Apply the correlation-causation distinction and identifies confirmation bias in school data conversations

Evidence base: InTASC 6 Assessment (6a, 6d) · ISTE 2.7 Analyst (7a, 7b, 7c) · Data Quality Campaign Teacher Data Literacy · CAEP A.1 Learner and Learning
How a Learning Series works
Complete all three phases to earn series credit.
LEARN

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.

PRACTICE

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!

APPLY & REFLECT

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.

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