Washington Finally Shows Up: US Department of Education Issues First Federal AI Priority for K-12
On April 13, 2026, the US Federal Register published something that hadn’t existed before: a federal priority specifically for advancing AI in K-12 education. Secretary of Education Linda McMahon’s “Supplemental Priority and Definitions on Advancing Artificial Intelligence in Education” is now official, effective May 13. It’s not a mandate. It’s not a curriculum. It’s a grant preference — but it’s the first time the federal government has formally signaled that AI education belongs in its discretionary grant programs.
What the Priority Actually Does
The priority establishes two broad tracks for grant-funded projects:
Track A — Expand understanding of AI through 11 approved activities, including:
- Integrating AI literacy into teaching and learning, including how to detect AI-generated disinformation
- Expanding age-appropriate AI and computer science education in K-12
- Embedding AI into teacher preparation and professional development
- Building evidence of effective AI integration methods
- Training educators on age-appropriate AI methodologies with emphasis on developmental readiness and safety
Track B — Expand appropriate and ethical use of AI through 11 approved activities, including:
- Using AI to support gifted students, struggling students, and students with disabilities
- Integrating AI-driven tools for personalized learning and adaptive tutoring
- Using AI to reduce administrative burden on teachers
- Incorporating universal design for learning principles
- Using AI technology to improve program outcomes
The priority can be used as an absolute priority (only applications meeting it are considered), a competitive preference priority (extra points), or an invitational priority (no scoring advantage but signals interest) — depending on each specific grant competition.
The Comment War: 300+ Responses, Deeply Split
The proposed priority received over 300 public comments, revealing a nation sharply divided on AI in classrooms.
Supporters — including families and educators — argued the priority prepares students for an AI-driven workforce and ensures American competitiveness. They praised the emphasis on AI literacy, professional development, and making students “active creators and innovators, not just users.”
Opponents raised concerns that read like a checklist of anxieties:
- AI in K-12 is “unstudied and unregulated” and potentially harmful to developing minds
- Children need basic academic skills before engaging with AI
- Screen time concerns — children already average 7.5 hours daily on non-school screens (AACAP 2025)
- Student data privacy under FERPA and COPPA, with calls for mandatory parental consent and vendor transparency
- Bias in AI models used for high-stakes decisions like grading and placement
The Department’s response was consistent: it acknowledged the concerns but declined to enact federal mandates, repeatedly stating that families, educators, and local officials are “best positioned” to make these decisions. It pointed to existing EDGAR regulations, FERPA, COPPA, and its July 2025 guidance as sufficient guardrails.
What Changed From the Proposal
The final priority made several modifications based on comments:
- Added “age-appropriate” to AI and computer science education offerings (Track A, item ii)
- New item (a)(xi): Explicit support for training educators on age-appropriate AI methodologies considering “developmental readiness and students’ safety factors”
- Added “and ethical” to Track B’s framing of appropriate AI use
- New item (b)(x): Universal design for learning principles incorporated
- New item (b)(xi): AI technology to improve program outcomes
- Revised AI literacy definition to include “ethical reasoning, critical social inquiry, interdisciplinary problem-solving, and creativity”
What didn’t change: no federal mandates, no national age-appropriate standards, no vendor data governance requirements, no mandatory parental consent provisions, no new cybersecurity standards. The Department consistently deferred to states and local districts.
The Federal vs. State Tension
This priority lands in a landscape where 31 states have already introduced 134 AI education bills this year — covering student data privacy, classroom guidelines, AI literacy requirements, and outright bans. Idaho signed the first comprehensive AI education bill into law.
The federal priority is deliberately designed to coexist with state action. It doesn’t preempt state law, doesn’t set national standards, and doesn’t require anything of schools directly. It simply gives the Department the option to favor AI-focused grant applications — a soft-power lever that works through funding incentives rather than compliance requirements.
The question is whether a grant preference matters when states are already legislating. For well-resourced districts in proactive states, probably not. For underfunded districts in states with no AI legislation, a federal grant preference could be the only pathway to AI education funding.
Defining the Terms
The priority establishes three formal definitions:
Artificial Intelligence — Uses the statutory definition from 15 U.S.C. 9401(3): “a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments.” This definition is consistent with three Trump executive orders on AI.
AI Literacy — “The technical knowledge, durable skills, civic awareness and future ready attitudes, including AI related ethical reasoning, critical social inquiry, interdisciplinary problem-solving, and creativity, required to thrive in a world influenced by AI. It enables learners to engage, create with, manage, and design AI, while critically evaluating its benefits, risks, and implications.”
Computer Science — Defined to explicitly include machine learning and AI, distinguishing it from everyday technology use (browsing, word processing).
What This Means for New Zealand
While US federal policy plays catch-up to its own states, New Zealand remains further behind. There is no equivalent national AI education priority, no AI literacy definition in official policy, and no dedicated funding pathway for AI in schools. The US approach — even as a voluntary grant preference — at least creates a mechanism for funding and a shared vocabulary. NZ educators watching from the Pacific should note: the conversation has shifted from whether AI belongs in schools to how to implement it responsibly.
SOURCES
- Federal Register: Final Priority and Definitions on Advancing AI in Education (91 FR 18774, April 13, 2026)
- US Department of Education, Docket ID ED-2025-OS-0118
- Executive Order 14277: Advancing Artificial Intelligence Education for American Youth (April 23, 2025)
