K–12 AI Readiness
in New Jersey
The AI Moonshot, Resources Instead of Guidance, and Grant-Funded Pilots
New Jersey’s K–12 AI posture is distinctive among large states. Rather than publishing a single comprehensive guidance document in the mold of Ohio, Georgia, or Louisiana, the New Jersey Department of Education (NJDOE) has curated and developed a set of resources — a dedicated AI webpage under the Office of Innovation at nj.gov/education/innovation/ai, a pre-recorded technical assistance webinar, and supporting materials for educators. The NJDOE explicitly frames its work as responsive to Governor Phil Murphy’s call for an “Artificial Intelligence Moonshot” to establish New Jersey as a pioneering state for AI-powered innovations.
In January 2025, the NJDOE announced the award details of two grants funded through $1.5 million in Governor Murphy’s FY 2025 budget appropriation. The “Artificial Intelligence Innovation in Education Grant” supports AI integration in 10 school districts, including Gateway, Burlington City, Eastern Regional, Delsea Regional, and Woodstown-Pilesgrove. The “Expanding Career Pathways in Artificial Intelligence Grant” supports AI-focused Career and Technical Education programs at two county vocational schools. Together, the grants signal a state-level commitment to AI as an instructional and workforce priority.
💡 New Jersey’s approach differs from the guidance-publication model used by Georgia or Ohio. Instead of a single authoritative document, the state has combined curated resources, grant-funded pilots across 12 districts and vocational schools, and NJSBA model policy work to build the AI infrastructure district-by-district.
What New Jersey’s Resources Cover — and What They Don’t
The NJDOE AI webpage provides overview materials on AI and AI concepts, high-level discussion questions for educators, and curated resources including MIT’s Responsible AI for Social Empowerment (RAISE) AI Literacy Units and Stanford Graduate School of Education’s Classroom-Ready Resources About AI for Teaching (CRAFT). The pre-recorded technical assistance webinar provides overview-level content appropriate for any education stakeholder. The NJDOE describes its materials as designed to help districts “responsibly and effectively integrate AI in the classroom” rather than as regulatory requirements.
According to third-party policy trackers (including AI for Education’s state guidance compendium), New Jersey has not provided “official AI guidance” in the sense that Georgia or Louisiana have — a comprehensive framework with prohibitions, permissions, and structured policy development provisions. Instead, New Jersey has built a resource curation model that points districts toward external frameworks (MIT, Stanford) while providing NJDOE-developed webinar and contextual materials.
⚠️ New Jersey districts operate in a resource-rich but framework-light state environment. Districts looking for a single state-level authoritative AI policy document will not find one. Districts looking for curated implementation resources, grant funding opportunities, and peer district reference cases will find substantial material from both NJDOE and the New Jersey School Boards Association (NJSBA).
The NJSBA Model Policy Layer
In parallel with the NJDOE’s resource-curation approach, the New Jersey School Boards Association (NJSBA) developed and released a model AI policy for district adoption. The NJSBA model policy addresses academic integrity, student privacy, equitable access, and district operations — the operational detail that the NJDOE’s overview resources do not cover. For New Jersey districts developing their own AI policies, the NJSBA model provides the structured starting point that many state education departments publish directly.
HIB Expansion and AI Deepfake Legislation
New Jersey has also seen legislative proposals to extend the public school law on harassment, intimidation, and bullying (HIB) to cover acts of fraudulent impersonation or false depiction by means of AI or deepfake technology. This legislative context reflects a policy concern that districts navigating AI integration must address beyond instructional use — particularly around student safety implications of AI-generated content.
New Jersey’s Broader AI in Education Infrastructure
New Jersey’s AI-in-education work extends beyond the NJDOE resource hub through several institutional channels.
The 10+2 Grant Pilots
The ten districts awarded Artificial Intelligence Innovation in Education grants are functioning as New Jersey’s AI-integration proving grounds. Named districts include Gateway, Burlington City, Eastern Regional, Delsea Regional, and Woodstown-Pilesgrove. The two county vocational schools awarded Expanding Career Pathways grants are developing AI-focused CTE programs. Together, these 12 grantees represent the state’s most concentrated AI-implementation learning — districts planning AI literacy work statewide benefit from reviewing the grantees’ approaches.
NJSBA as Policy Infrastructure
The New Jersey School Boards Association plays an unusually active role in state-level AI policy for districts. Beyond the model AI policy, NJSBA hosts AI-focused conferences, publishes School Leader magazine AI coverage, and runs Education Matters programming that addresses AI integration. For New Jersey districts, NJSBA is the primary recurring source of peer-district learning on AI implementation.
University and Research Ecosystem
New Jersey’s AI-in-education infrastructure draws on the state’s concentration of university research — Princeton, Rutgers, Stevens Institute of Technology, and NJIT each have active AI research programs with K–12 implications. Rutgers’ Graduate School of Education in particular is positioned for K–12 AI literacy research partnerships given its statewide teacher preparation role.
✅ New Jersey has built AI education infrastructure through a distributed model: NJDOE resource curation, grant-funded pilots, NJSBA model policy work, and university research. Districts adopting AI literacy practices in New Jersey operate within a richer ecosystem than a single guidance document would create.
Federal Funding Available to New Jersey Districts
New Jersey’s federal K–12 funding stack operates alongside the state’s complex school funding formula. Three federal funding streams apply to AI literacy professional development, with the NJDOE’s $1.5M grant pool as a smaller but targeted fourth channel.
Title IV-A (SSAE)
FY 2025 state total, allocated by formula based on Title I proportional share. Covers digital literacy PD and technology-integrated instruction — a direct match for NJDOE’s stated AI integration priorities.
Title II-A
New Jersey’s annual Title II-A allocation for educator professional development. AI literacy certification qualifies as evidence-based, job-embedded PD under the ESSA definition.
Title I (Part A)
Newark, Paterson, Jersey City, and other urban districts carry substantial Title I allocations. PD for teachers in Title I schools is an allowable use, including AI literacy training aimed at equity outcomes.
New Jersey’s ~600 district count — one of the highest in the country per capita — means federal Title IV-A allocations are distributed across many small districts, with larger systems like Newark Public Schools, Jersey City Public Schools, Paterson Public Schools, and the county vocational systems commanding the largest individual allocations. The state’s high per-pupil spending (consistently among the top three nationally) means districts have supplementary local budget flexibility that districts in lower-spending states do not.
Implications for New Jersey Districts
- 1. The “AI Moonshot” framing is more than rhetoric Governor Murphy’s AI Moonshot language is backed by a $1.5M FY25 budget appropriation specifically for K–12 AI grants. For districts considering AI literacy investments, the Moonshot framing provides state-level political cover that’s harder to find in states without explicit gubernatorial AI education priorities.
- 2. Districts should work from NJDOE resources AND NJSBA model policy together Neither the NJDOE’s curated resources nor the NJSBA model policy is complete on its own. The NJDOE materials provide concept-level orientation and point to external frameworks (MIT RAISE, Stanford CRAFT). The NJSBA model policy provides operational-level district policy language. Effective New Jersey district AI policy work uses both.
- 3. The 10 grant-winning districts are New Jersey’s de facto reference cases Gateway, Burlington City, Eastern Regional, Delsea Regional, Woodstown-Pilesgrove, and the five other grant recipients are building New Jersey’s most documented AI-integration case studies. Districts planning similar work statewide can learn from the grantees’ approaches before making their own implementation decisions.
- 4. HIB and deepfake legislation context matters for AI policy design Pending New Jersey legislation to extend HIB coverage to AI-generated false impersonation and deepfakes creates a legal context districts must address in AI policy. District AI policy that addresses only instructional use misses the student safety implications the state legislature is working on separately.
- 5. Federal Title IV-A, Title II-A, and Title I remain the primary funding pathways The state’s $1.5M grant pool is meaningful as signal but small relative to the ~$35M Title IV-A and ~$60M Title II-A federal allocations. District AI literacy professional development is funded primarily through federal streams; state grants provide targeted pilot funding, not base professional development support.
Note on Curriculum Development Perspective
ZeroBlue Research approaches state-level K–12 AI literacy analysis through a lens informed by curriculum development practice across online education and applied AI implementation, including adjacent domains such as patient education for medical devices and pharmaceutical applications. Frameworks like those emerging in New Jersey highlight the need for adaptable, evidence-based curricula that integrate AI literacy with real-world applications — including ethical data use in regulated industries and personalized learning pathways — while prioritizing equity and accessibility.