What’s next for AI in K–12?

AI is already part of teaching and learning. New research from MagicSchool and Hanover Research reveals how districts are approaching adoption, building trust, and evaluating AI for the future.

Image of an educator sitting next to s student at a desk overlaid with star graphics.

Responsible AI in K–12

Explore the findings, benchmarks, and practical guidance district leaders can use to understand where they stand and make informed decisions for the year ahead.

ADOPTION AND VISIBILITY

Guiding the next phase of AI in K–12

92 percent of respondents say their school or district is piloting or operationalizing AI for students, yet only 23 percent report a clear picture of how students are using it. Learn what’s behind the visibility gap and how districts can close it.

A 2 page preview of a report titled 'Guiding the next phase of AI in K-12'

Coming soon in October and November

Progress guided by purpose

District leaders are creating a thoughtful path forward for educators, students, and their school communities.

"We want to be an innovative organization. If we don't try new things, we won't make forward progress."

Jimmy Evans, Director of Instructional Technology

Temecula Valley Unified School District

“When teachers feel supported and empowered to explore, incredible things can happen. Our teachers are thriving, and our students are shining.”

Erin Schiller, Instructional Coordinator

Eden Prairie Schools

About the research

MagicSchool partnered with Hanover Research to survey 550 full-time K–12 educators and education leaders across the United States. All respondents were closely involved with AI use, policy, purchasing, or decision-making in their school systems.

Their perspectives shape this three-part research series exploring how schools and districts are approaching AI adoption, trust, safety, student and staff use, and platform decisions. Together, the findings offer a focused look at responsible AI implementation across K–12.