Search Results
Spotlights & Case Studies
Norms and Expectations in Virtual and Hybrid Learning
For students to succeed in a virtual/hybrid learning environment, it is essential for schools to establish clear norms and expectations to ease students’ and families’ transitions into virtual and hybrid learning and set them up for success. This...
Spotlights & Case Studies
Student Engagement in Virtual and Hybrid Learning
For students to succeed in a virtual/hybrid learning environment, it is essential for schools and teachers to foster learner-centered design practices. This Insight explores the research behind this critical lever and real-world case studies of...
Spotlights & Case Studies
Learner-Centered Design in Virtual and Hybrid Learning
For students to succeed in a virtual/hybrid learning environment, it is essential for schools and teachers to implement learner-centered design practices. This Insight explores the research behind this critical lever and real-world case studies of...
Artifacts
Self-Assessment: Equitable EdTech Systems
This self-assessment mirrors the structure of the EdTech Systems Guide: Equity-Driven Selection, Implementation, and Evaluation, distilling foundational concepts into a series of statements about users’ edtech practices. Using a modified version of...
Artifacts
Denver Public Schools’ AI Survey Prompts
K-12 school and system leaders can survey their stakeholders (i.e., students, educators, or even other members of their wider school community, including families) to better understand the conditions at play that might support or hinder effective...
Strategies
Using Surveys to Guide AI Literacy and Instructional Practice
This strategy outlines how schools and districts can use surveys to assess AI literacy, guide professional development, shape instructional policies, and support effective AI integration in the classroom.
Artifacts
Charting a Course for AI in K-12 Education: Recommendations for Coordinated Action
This companion resource to Bridging Urgent to Future offers concrete, role-specific recommendations for SEA leaders, LEA leaders, funders, and researchers to take coordinated action on AI in education. Using the Hop, Skip, Leapfrog framework, it...
Artifacts
The Eliot Innovation School’s SY24-25 Mid-Year Data Analysis Slide Deck
This internal slide deck outlines Eliot’s process for mid-year data analysis, from identifying schoolwide trends to targeting subgroup needs. It reflects how the school uses structured data reviews to inform instructional shifts—such as customizing...
Artifacts
The Eliot Innovation School’s Writing Data Tracker Sheet
This schoolwide Google Sheet tracks student progress in writing across informational, argumentative, and narrative genres. By visualizing individual growth against personalized goals and color-coding progress, the tracker helps teachers pinpoint...
Strategies
Laying the Foundation for Effective AI Integration Through Culture, Data, and Continuous Improvement
This strategy highlights how schools can lay the groundwork for effective, equity-driven AI integration by building on existing strengths in professional learning, data use, and continuous improvement. By rooting AI in instructional culture and...
