Professional Learning

Build practical, shared AI practice for educators and instructional leaders.

Keith designs research-informed learning around authentic classroom, curriculum, and assessment work. Participants develop shared language, test practical tools, and return to their roles with routines they can use and review.

Teachers · Middle leaders · Schoolwide implementation
Keith Ray facilitating an AI professional learning session at a conference
Professional learning moves from evidence to authentic work and shared practice.
Professional learning focuses onShared educator practice, task design, assessment, verification, and classroom implementation.
Looking for leadership AI systems?Agentic workflows for leadership teams are part of Strategy and Governance.Explore leadership AI systems

What the research changes

Training focuses on the conditions that protect learning.

AI can support explanation, feedback, practice, and idea development. Unstructured reliance can also weaken independent performance. Professional learning therefore focuses on how the task, guidance, evidence, and AI role are designed.

AI as a Thought Partner: AI may question, organize, critique, or produce. People retain purpose, judgment, and responsibility.

  1. 01Goal fit

    The learning goal remains primary.

  2. 02Protected thinking

    Learners reason before AI performs the targeted skill.

  3. 03Role clarity

    The permitted role of AI is explicit before work begins.

  4. 04Visible evidence

    Learners check, revise, explain, and show their decisions.

  5. 05Transfer

    Learners demonstrate the skill independently when it matters.

Evidence-informed, not tool-led. The research is translated into concrete design decisions, participant practice, and follow-up.

Wu et al. (2026)Bastani et al. (2025)Abdelhadi (2026)Gao et al. (2026)

From training to practice

Professional learning is designed to continue after the session.

The work combines shared understanding, authentic practice, common tools, and follow-up evidence.

  1. 01Build shared understanding

    Examine current evidence, distinguish productive support from substitution, and establish a common human-centered position.

  2. 02Work on authentic tasks

    Apply AI to classroom, curriculum, and assessment work that participants already need to complete.

  3. 03Use common tools

    Practice with AI Usage Levels, thought-partner routines, verification protocols, and planning structures.

  4. 04Follow up in practice

    Review classroom use, student evidence, and educator experience before refining or expanding the work.

One shared tool

AI Usage Levels make the role of AI clear before work begins.

The level belongs to the assignment, not the student. As AI takes on more production, expectations for transparency, verification, judgment, and human responsibility increase.

Level 1

No AI

Human-only work

Students demonstrate the targeted knowledge or skill entirely without AI assistance.

The student completes and explains the work independently.
Level 2

AI Tutoring-Style Assistance

AI supports learning

AI may coach, explain, brainstorm, support practice, or give feedback. Students create the submitted work.

The student does the production and remains the author.
Level 3

AI Collaboration

Student and AI co-create

AI may contribute ideas or content. The student directs the process, evaluates the contributions, and substantially revises the work.

The student remains the primary author and decision-maker.
Level 4

Real-World AI Use

AI as a Work Partner

AI may generate substantial portions of the work or the complete initial output. The student directs, verifies, evaluates, and revises it.

The student makes the final decisions and remains responsible for the result.

Usage Levels answer: What may AI do in this task?

Curriculum standards answer: What should students progressively understand and be able to do?

See the K-12 curriculum

One connected school approach

Three areas of work, one human-centered direction.

Schools may begin in one area. The work becomes coherent when direction, adult practice, and student learning reinforce one another.

Professional Learning

What shared AI practice do your educators and instructional leaders need to build next?