AASA and Day of AI Launch National Fellowship for Superintendents and Students

A leadership model worth watching

Another notable development this week came on 19 March 2026, when AASA, The School Superintendents Association, announced a new partnership with Day of AI and MIT RAISE to launch the National Leadership & Innovation Fellowship Focused on AI and the Future of Learning. The fellowship will bring together 50 superintendents and 100 high-school-aged student leaders for a three-day experience in Boston this July.

The structure of the program is what makes it interesting. Many school AI initiatives focus on staff training or vendor pilots. This fellowship places system-level leadership and student participation in the same room. That is smart design. District AI policy often affects students long before students are invited into the conversation. If schools want guidance that is realistic, trusted, and durable, they need student perspectives on what AI use actually looks like in classrooms, homework routines, and college or career preparation.

Why student voice matters in AI policy

Adults and teenagers frequently agree on the need for critical thinking, but they do not always agree on what counts as ethical AI use. Recent surveys have shown this gap clearly: many parents see AI use in schoolwork as suspect, while many teens see it as practical or even innovative. A fellowship that asks students to debate AI issues alongside district leaders could help move the conversation beyond slogans like “ban it” or “embrace it.”

Students can surface realities that district leaders may miss. For example, they know which assignments feel impossible to complete without AI support, which teacher rules are inconsistent, and where AI tools genuinely improve accessibility. They also see where overuse can flatten thinking or remove the struggle that helps learning stick.

What district leaders can learn from this

Even for educators who are not part of the fellowship, the program offers a strong template. AI leadership should be:

• Cross-functional, involving curriculum, technology, assessment, and student support teams
• Student-informed, with real mechanisms for feedback rather than symbolic consultation
• Ethics-forward, addressing privacy, fairness, and academic integrity from the start
• Instructionally grounded, focused on what improves learning rather than what looks innovative on a slide deck

The emphasis on systems-level leadership is especially timely. Schools have moved beyond the phase where AI can be handled as an isolated edtech issue. Decisions about acceptable use, procurement, professional development, accessibility, and assessment all connect. Superintendents and cabinet-level teams need a shared language for these tradeoffs.

Questions schools should ask now

This announcement is a good prompt for district self-audit. If your school or district already has AI guidance, consider the following:

• Were students involved in shaping it?
• Does it distinguish between AI that supports learning and AI that replaces it?
• Have leaders defined which uses are encouraged, restricted, or prohibited?
• Do teachers have training that matches the policy expectations?

If the answer to most of those questions is no, policy may be lagging behind practice.

The NeuralClass takeaway

The fellowship will not solve district AI governance on its own, but it points in the right direction. Schools need leadership models that combine policy, pedagogy, and lived student experience. In a year when many districts are still deciding what responsible AI adoption should look like, this initiative offers a more useful premise than either fear or hype: the future of learning should be designed with students, not just for them.

Sources: AASA announcement, 19 March 2026; Day of AI/MIT RAISE partnership materials.