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AI Strategy for Education

AI Strategy for Education — interactive intelligent textbook for education leaders

A free, open-source intelligent textbook for K-12 and higher-education leaders.

Artificial intelligence is improving on an exponential curve — the length of task a frontier model can complete autonomously has doubled roughly every four to seven months for six straight years. This course exists because the gap between what AI can do and what our institutions are organized to use is widening every quarter. It gives education leaders a disciplined, repeatable way to close it.

This is not a coding course and not a hype tour. It is a strategy course — built around a single, repeatable decision-making workflow that any school, district, college, or university can run: gather ideas, evaluate them, select a portfolio of projects, assign resources, and measure results. Every opportunity is paired with equal weight on the hazards — privacy, bias, equity, and the risks of moving too fast or too slowly.

Book at a Glance
Chapters 13
Concepts in the Learning Graph 221
Glossary Terms 214
FAQ Questions 63
Chapter Quizzes 13 (195 questions total)
Annotated Reference Lists 13
Diagrams and Visual Elements 30
Equivalent Printed Pages ~580
License CC BY-NC-SA 4.0 — free to use

What You Will Learn

This book works through six core capabilities every education institution needs:

  1. Read the capability curve — interpret the METR task-horizon data and understand why AI capabilities require a different kind of planning than most technology trends.
  2. Run the idea funnel — systematically gather, evaluate, and select AI projects from teachers, staff, students, and families.
  3. Understand the intelligent-textbook landscape — what 10,000 AI-tutored textbooks means for procurement, curriculum, and the teacher's role.
  4. Build learning telemetry — how xAPI, the Learning Record Store, and an AI-driven LMS combine to produce individualized learning plans for every student.
  5. Manage risk and equity — build a risk register, run a SWOT analysis, and make the case for equitable AI adoption to your board.
  6. Write a board-ready strategy — the capstone project is a draft AI strategy document ready to present to a school board or board of trustees.

Chapters

# Title
1 AI Foundations — What Every Educator Needs to Know
2 Measuring the AI Capability Curve
3 Building Your AI Strategy
4 Generative AI, Intelligent Textbooks, and the Content Revolution
5 The Idea Funnel — Gathering, Registering, and Evaluating Ideas
6 Selecting Projects, Assigning Resources, and Evaluating Outcomes
7 Learning Telemetry, xAPI, and AI-Driven Personalization
8 New Pedagogical Models — The Alpha School and Beyond
9 Responsible AI — Ethics, Bias, Privacy, and Fairness
10 Academic Integrity, Equity, and Managing AI Risk
11 AI Governance, Policy, and Change Management
12 The Agentic AI Workforce in Education
13 Strategic Planning — SWOT, Roadmaps, and the Capstone Strategy

Supporting Resources

Resource Description
Glossary 214 plain-language definitions for every key term
FAQ 63 questions and answers organized by topic
Learning Graph Interactive visualization of 221 concept dependencies
Course Description Full course overview, learning outcomes, and Bloom's Taxonomy alignment
About Author bio, motivation, and how to cite this book

Each chapter also includes:

  • A quiz (15 questions, collapsed answers) for self-assessment
  • An annotated reference list (10–13 curated sources) for deeper reading

Who This Book Is For

This textbook was written for decision-makers and stakeholders across the full education system — no technical background required. Every term is defined before it is used. If you are any of the following, this book was written for you:

  • Superintendent, principal, or curriculum director evaluating AI tools or policies
  • Classroom teacher trying to understand how AI will reshape your role
  • K-12 school board member voting on AI budgets or policies
  • Higher-education provost, dean, CIO, or faculty senate member
  • Parent or community member who wants to understand what AI means for your children's school
  • Instructional designer or IT staff responsible for implementing AI initiatives

How to Use This Book

Read chapters in order — concepts build on each other, and the learning graph ensures prerequisites are always introduced before they are needed. Use the search bar at the top to jump to any term. When you encounter an unfamiliar word, check the Glossary. When you want to see how a concept connects to the rest of the course, visit the Learning Graph.

Each chapter ends with a quiz — try to answer without looking, then expand the collapsed answers to check.

Sage's Tip

Sage the Owl giving a tip Start with Chapter 1 to build your vocabulary — every strategy conversation in this book depends on having shared, precise language. If you already work in EdTech and know your LLMs from your LMSs, you can skim Chapter 1 and jump to Chapter 2, where the capability-curve data gets genuinely surprising. Let's chart the course!