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Getting Started

In addition to ensuring interoperability, privacy, and security, data systems can also capture and aggregate massive amounts of student data. To begin configuring these systems such that they can also be used to measure program implementation and/or their effects on teacher practice as well as student learning, it is important to first understand key components that both influence and inform instructional decisions. Explore these key resources to learn more about what these strategies and models look like in action.

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Most Popular Resources for Data Systems Administrators

Access to Grade-Level Instruction Through TV

Leveraging local TV for remote lessons

Advice: Considerations for Creating a Homegrown Residency Program

Concrete guide to ensuring true alignment with your residency partner

Setting Expectations Through Surveys

Enabling "recalibration of re-entry" as remote learners enter in-person learning in the fall

Shifting Towards Assessment-Aligned Trimester Reporting

Adopt reporting that emphasizes power learning standards and reduces emphasis on attendance and participation

Hybrid Learning With a Focus on In-Person Time for Labs, Hands-On Activities, and Collaboration

Creating time for labs, hands-on activities, and collaboration

Remote Learning: Planning for Improvement

Power Moves for Remote Learning

Vision 2031: Adoption of District-Wide, 10-Year Vision for Innovation

District vision of an innovative education and portrait of a graduate in 2031

Districtwide Learning Framework To Create Coherence With Greater School Autonomy

Leveraging a learning framework to support school-based decision making

1:1 Data Conferences

Students and teachers frequently conference to ensure students understand their data and use it to improve their learning

Data Dashboard for Progress Monitoring

Teacher uses data dashboard to understand where each student is in their learning pathway

Deepening Arts Enrichment Through Three-Week Focus Scheduling

Modified schedules minimize health risks and deepen engagement

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Data Systems Administrator Voices
We know that the theory of personalized learning is powerful but the actual nuts and bolts of implementations is extremely difficult. A lot of the work that TLA does from the practices website to their data work make personalized learning concrete with voices from actual teachers and administrators who are practitioners.
Innovation Directors Network (IDN) Participant