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Report: Where, Why, How: Deepening Analysis of the U.S. K-12 Virtual Learning Landscape
This report from The Learning Accelerator (TLA), “Where, Why, How: Deepening Analysis of the U.S. K-12 Virtual Learning Landscape,” explores the current state of virtual and hybrid learning models across the United States and their viability as a...
Executive Summary: Where, Why, How - Deepening Analysis of the U.S. K-12 Virtual Learning Landscape
This is the Executive summary for a report from The Learning Accelerator (TLA), “Where, Why, How: Deepening Analysis of the U.S. K-12 Virtual Learning Landscape,” which explores the current state of virtual and hybrid learning models across the...
Report: Deepening Our Understanding of High-Quality Virtual and Hybrid Learning: Initial Analysis of Six Diverse Models
This report from The Learning Accelerator (TLA), “Deepening Our Understanding of High-Quality Virtual and Hybrid Learning: Initial Analysis of Six Diverse Models,” explores six promising virtual and hybrid learning models, highlighting their design,...
Executive Summary: Deepening Our Understanding of High-Quality Virtual and Hybrid Learning: Initial Analysis of Six Diverse Models
This is the Executive summary for a report from The Learning Accelerator (TLA), “Deepening Our Understanding of High-Quality Virtual and Hybrid Learning: Initial Analysis of Six Diverse Models,” which explores six promising virtual and hybrid...
Agua Fria Union High School District’s Artificial Intelligence & Our District Guidance
District-created AI overview guidance document.
Building Consistency in AI Usage Expectations with the Stoplight Framework
The AI Stoplight Framework helps educators set clear, consistent expectations for AI use by categorizing assignments into red, yellow, and green light designations. This strategy card outlines how to implement the framework effectively, featuring a...
Denver Public Schools’ AI Handbook
This handbook, created by Denver Public Schools, combines best practices and stakeholder feedback to provide their district community guidance around the responsible and ethical use of AI.
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...
Lynwood High School’s Guide to Creating AI Bots for Teaching & Learning
This document, delivered as a part of a professional learning opportunity for teachers, provides instruction on creating AI bots to support teaching and learning practices.
Lynwood High School’s Video Tutorial for Using Playlab
This video provides an overview of setting up a workspace on Playlab and utilizing the platform to create chatbots.
Developing AI Guidance for Your School or School System
Explore how schools and districts can develop clear, flexible AI guidance through collaborative stakeholder engagement, foundational policies, and iterative implementation. Featuring an example from Agua Fria Union High School District, this...