AI Webinars, Documents & Resources

This collection is a practical, district-facing toolkit for building and communicating responsible K-12 AI policy. It encompasses vendor acquisition and procurement vetting, public communication, equity and bias mitigation, decision-making and governance, protocols for classroom and operational use, and organizational readiness—each with its own activities, rubrics, and references to guide the transition from exploration to full implementation.

This resource provides a roadmap for integrating AI across a K-12 district—aligned with the Michigan Virtual AI Framework. It helps leaders translate mission and beliefs, define an “AI-Ready Graduate,” form a cross-functional team, and move from Exploration to Full Implementation. The template clarifies roles, artifacts, timelines, and fidelity thresholds; embeds policy/ethics, PD, infrastructure, instructional alignment, and transparent communications; and emphasizes continuous improvement, equity, privacy, and measurable student outcomes.

In today’s world, artificial intelligence, generative technologies, and data-rich tools are reshaping how we teach and learn. This framework provides a clear, research-informed vision for high-quality instruction that helps educators design meaningful learning experiences and prepare students for a technology-driven future. This guide is not an evaluation tool; it is meant to support teacher growth, collaboration, and student success.

AI in Education Glossary of Terminology

Michigan Virtual’s 2025 AI report highlights rapid AI growth in schools, rising use outpacing trust. It urges careful, ethical adoption with equity, privacy, and training in mind, based on statewide educator surveys and AI Statewide Workgroup research.

September 25, 2025: This student flyer has all the information for schools/districts to register classes for students to attend this Statewide AI Webinar.