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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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Emotions Scan

Support students in identifying and naming their emotions

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Intentional Problem-Solving to Support Student Development

Help students in addressing barriers and challenges through a dedicated problem-solving process

Three students - two women and one man - collaborate at a bank of computers.
Resources for the K-12 Education Sector to Prepare for the NTIA Digital Equity Funds

Resources to help school systems, states, libraries, community-based organizations, and others in the K-12 sector advance digital equity

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Building Capacity With an Edtech Champions Program

Tap into accessible, in-house edtech experts, ad hoc coaches, and light-touch technical support

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Newport News' Approach to Social Connections in Virtual Learning

How a school prioritized building connections to center students in virtual 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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Remote Learning: Planning for Improvement

Power Moves for Remote Learning

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Data Dashboard for Progress Monitoring

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

Student sitting in a chair with a laptop and headphones on
Cabarrus Virtual Academy's Approach to Active Engagement in Virtual Learning

How a virtual academy integrated active engagement into their program

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Gulfport Virtual Academy's Approach to Targeted, Relevant Virtual Learning

How a virtual school made instruction targeted and relevant to center students

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Organizing and Analyzing Qualitative Data

Organizing qualitative data is the first step towards analyzing data efficiently

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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