Human-Centered AI for Schools

Move from scattered AI use to a coherent schoolwide approach.

Keith Ray helps K-12 schools align direction, professional practice, student learning, and leadership workflows so AI supports learning without replacing human judgment.

See how Keith helps schools Explore the K-12 curriculum

Keith Ray speaking with educators during a professional learning session — Professional learning in actionTurning individual AI skill into shared school practice

Ways to work together

Three clear places to begin.

Schools may begin with one immediate priority. Each engagement is designed to connect with the others as the school’s approach develops.

01Strategy and governance

Create a shared direction for AI.

Clarify purpose, governance, policy, decision rights, and the human-led AI systems used in leadership work.

Clear schoolwide decisions and responsible leadership workflows.Strategy, governance, and leadership systems

02Professional learning

Build practical, shared professional practice.

Prepare educators through AI as a Thought Partner, AI Usage Levels, task design, verification, and practical school routines.

Shared language that becomes normal classroom practice.Professional learning and implementation

03K-12 curriculum

Define what students should learn over time.

Adopt and adapt a subject-embedded curriculum with standards, learning experiences, planning tools, and implementation support.

Clarity about what students learn with and about AI over time.K-12 Human-Centered AI Curriculum

A coherent school framework for AI

A human-centered AI system connects purpose, practice, learning, and leadership.

AI as a Thought Partner is one practical model within a broader school framework. The work aligns governance, educator practice, curriculum, and leadership workflows so decisions reinforce one another across the system.

01
Shared purpose and protections
Define what AI should support and what human learning, authorship, privacy, and judgment the school will protect.
02
Clear roles and boundaries
Make explicit what students, educators, leaders, and AI systems may do in each context.
03
Human judgment and ownership
Require people to verify, decide, approve, and remain responsible for outcomes.
04
Evidence, review, and improvement
Review learning, workload, consistency, access, and trust before practices expand.

Research signal AI can support learning, but unstructured reliance can weaken independent performance. A coherent framework turns that evidence into shared decisions about when, why, and how AI is used.

See the evidence and design conditions

School-grounded experience

Leadership experience across schools, universities, and international contexts.

Keith’s full professional background, working approach, credentials, and international experience map are presented on the About page.

About Keith and his international experience

Human-Centered AI for Schools

What AI priority does your school need to make clear and workable next?

Discuss your school’s AI priorities Book a 30-minute meeting