Learning series

Leveraging Data in the Classroom

Applications of data science for the classroom - move from data overload to sustainable data analysis habits for teaching by developing workflows for data analysis and response.

This series is Coming Soon

What you'll walk away with

Design sustainable classroom data collection routines that integrate into instruction without adding preparation time

Build a personal data analysis workflow that moves from observation to interpretation to instructional action

Use multiple assessment formats (formative checks, observations, student self-reports) to create real-time instructional feedback loops

Communicate data insights to students, families, and colleagues in clear, action-oriented language

Evidence base: InTASC 6 Assessment (6a, 6b, 6c, 6d, 6e) · ISTE 2.7 Analyst (7a, 7b, 7c) · InTASC 8 Instructional Strategies
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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