AI Webinars, Documents & Resources

This district-facing toolkit provides K-12 leaders with actionable frameworks for responsible AI governance.

A professional development guide to help K–12 districts adopt AI tools responsibly.

Ethical Considerations

Legal Considerations (not official legal advice)

Strategic presentation resource to guide staff through artificial intelligence integration.

Interactive toolkit designed for technology directors, business managers, and operational leaders provides a series of hands-on challenge cards focused on effective and sustainable AI integration

In today’s world, artificial intelligence, generative technologies, and data-rich tools are reshaping how we teach and learn. This framework is designed to support educators in leveraging AI within the core elements of effective teaching: purpose, student engagement, curriculum and pedagogy, assessment for student learning, and classroom environment and culture. It aims to prepare students for a technology-driven future. The framework is grounded in the University of Washington’s Center for Educational Leadership’s 5 Dimensions of Teaching and Learning™ (5D™), a research-based tool that helps schools and districts create a shared language for teaching and learning, scaffold the development of expertise, and grow high-quality instructional practices.

This is a document is an output of Ann Arbor Public Schools' AI implementation journey where they have included student voice in their AI Taskforce. It is marked DRAFT as they are using it as a guiding document, but also iterating as they learn as a district.

This is a collection of video shorts, created by Sarah Wood at Kent ISD in Michigan, designed to inform parents of various aspects of artificial intelligence use with K-12 students.

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.

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.

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.