Fieldnote 1: Leadership Makes or Breaks AI Integration
Why genuine leadership investment, not just approval, consistently distinguishes AI initiatives that take root from those that stall.
AI Lab Fieldnotes are narrative pieces from the field, drawn from conversations with leaders at Michigan school districts and Intermediate School Districts (ISDs), as well as the AI Strategists at Michigan Virtual who work alongside them. Each fieldnote follows one theme that surfaced across those conversations and connects it to Michigan Virtual’s AI Integration Framework.
Read one, a few, or all of them, in any order. Browse by Framework domain below, or keep scrolling to see how the Framework, the AI Lab, and the AI Strategists fit together, and how districts can use the fieldnotes to inform their own work across the state.
Why genuine leadership investment, not just approval, consistently distinguishes AI initiatives that take root from those that stall.
For many Michigan districts, this work is just beginning, well before the first stage of the Framework even applies. That changes what “getting started” may look like in practice.
Why teacher adoption depends less on compliance than on credibility, trust, and whether the work feels worth it.
Why board policy was only the starting point, and what districts put in place around it to make it more useful.
What Michigan districts and ISDs reveal about who AI reaches first, and the deliberate work it takes to make sure it doesn’t leave everyone else further behind.
What Innovating can look like when districts take different routes to get there.
How regional agencies act as a bridge for member districts, and how their approaches differ.
Where assessment stands as AI enters the classroom, and why older approaches may not be enough.
The operational side of AI that rarely makes headlines but matters for sustainability.
AI integration often progresses unevenly across a school district. Meaningful progress in professional learning, for example, might sit alongside open questions about policy, student use, or family communication. These fieldnotes examine what that uneven progress looks like in Michigan schools, drawing on districts’ experiences and highlighting practical lessons to help others navigate their own AI integration efforts.
Each fieldnote is organized around a theme, not around a district, so pieces draw on voices from several places. Leaders from Michigan K-12 public school districts and regional agencies shared their work for this series, and are shown below. Their work looks different from one district to the next, and the series leans into that. The fieldnotes point out where approaches diverge, from a regional agency building shared guidance for its member districts to one district embedding AI in an initiative it already had underway, because the contrast is often where the learning is.
Every fieldnote is anchored to Michigan Virtual’s AI Integration Framework for School Districts, a planning tool that helps school leaders assess where their district stands and decide what to do next. The Framework describes eight domains of district work across three stages of maturity. It was built to support planning conversations and is the shared language that lets pieces about very different topics fit together.
Each fieldnote includes a Framework Connection card in its sidebar. The domains the piece draws on appear in color and the rest in gray, with a brief explanation at the bottom of the card that names the primary connection and, where there is one, a secondary connection.
These pieces are meant to be used as well as read. Each one is built so a leadership team, a task force, or an individual can pull something out of it and act. Here are six ways districts and ISDs can put them to work.
Use the Browse by Framework domain filter above to find the fieldnote that matches your current question, such as policy, professional learning, or student use.
Look at the eight domains and notice where you sit in each. Stage is domain-by-domain, so read the fieldnote for the domain you most want to move.
Read one ahead of a meeting, open with its guiding question, and use the "Questions you should be asking" card as a discussion guide. Close by choosing one takeaway to test. For more prompts by domain, the Planning Guide for AI includes discussion questions for local planning.
Resource sections link to district-shared artifacts such as guidance documents, usage scales, and policy templates, alongside Michigan Virtual slide decks. Treat them as starting points to fit your own context.
Each "MI Featured in this fieldnote" card names the type of institution and the lesson it illustrates, so you can quickly find a K-12 district or regional agency whose situation resembles yours.
Every fieldnote points to Framework-aligned microcredentials and AI Lab resources. Districts that want a partner can contact Michigan Virtual about custom training and strategist support.
The AI Lab is part of the Michigan Virtual Learning Research Institute (MVLRI) at Michigan Virtual, a nonprofit organization. It was established in 2023 as a hub for research, best practices, experimentation, policy development, and awareness around the responsible use of AI in Michigan schools. Its work falls into three broad areas:
AI Strategists are Michigan Virtual’s in-house advisors on AI integration for schools. They work with leadership teams, task forces, coaches, and teachers across Michigan, and they see patterns that a single district may not be able to see from the inside. Several habits show up in how they describe their approach.
AI Strategists also gauge progress by how people feel as well as by how often they use the tools. Exit and sentiment surveys track whether people feel more confident about where they stand and whether a shared language is emerging across staff.
The district and ISD conversations are paired with a second set of interviews with the people who work alongside them. Their cross-district view runs through every fieldnote. Aaron Baughman, who served as an AI Strategist for Michigan Virtual (on loan from Northville Public Schools) and is now the Associate Director of Innovation & Strategic Partnerships for MASSP, was interviewed about his work with districts during that time.
Karle Delo
AI Strategist Director, Michigan Virtual
More than 14 years in public education as a science teacher, technology integrationist, and curriculum director. Leads the AI Lab’s AI Ambassadors, a group of educators building classroom exemplars.
In the series: culture, professional learning, and the teacher perspective.
Mike Maksimchuk, EdD
AI Strategist
Brings a classroom background and co-authored books on assessing multilingual learners. Offers a domain-by-domain view of where districts stand.
In the series: assessment, initiative fatigue, and what the earliest stages really look like.
Dr. Alexandra Lee, Ph.D.
AI Strategist
Joined Michigan Virtual in June 2026 after working at an education technology company. Brings a fresh view of how districts adopt new tools.
In the series: how AI differs from past edtech adoption, and the student-voice gap.
AI Lab Fieldnotes is a series from the AI Lab at Michigan Virtual. Last updated: