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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

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Professional Learning

Explore TLA's research on professional learning

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Remote Learning: Planning for Improvement

Power Moves for Remote Learning

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Impact on Student Outcomes

Explore TLA's research on student outcomes

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Virtual, Hybrid, and Remote Learning Research

Explore TLA's research around virtual, hybrid, and remote learning

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1:1 Data Conferences

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

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Residency Research

Explore TLA's residency research

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Data Dashboard for Progress Monitoring

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

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Conducting Pilots

Learn about conducting a pilot

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Research Partnerships

Explore TLA's research partnerships

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Evaluating Programs

Discover TLA's approach and recommendations to evaluating programs

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Creativity in Schools

Measuring and understanding teachers' perceptions and practices related to creativity

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Data Systems Administrator Voices
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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