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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...
Brief: Advancing Equity and Accessibility With Assessments - Virtual Testing Recommendations for State Leaders
State leaders are uniquely positioned to help address challenges related to equity, access, and validity within assessment systems for virtual learners. This resource, a brief designed specifically for state leaders and based off of our larger white...
Brief: Advancing Equity and Accessibility With Assessments - Virtual Testing Recommendations for Virtual Schools
School leaders have a strong opportunity to help address challenges related to equity, access, and validity within assessment systems for virtual learners. This resource, a brief designed specifically for virtual schools and based off of our larger...
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...
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.
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.
Using Professional Development to Empower Teachers to Create AI Chatbots
This strategy outlines how teachers can develop AI chatbots to enhance lesson-planning, differentiation, and student support. It provides a real-world example from Lynwood High School, where educators used chatbot technology to streamline...