The Learn-It-All Educator
Seven frameworks for higher education faculty to integrate AI thoughtfully. The first four teach you how to use AI in your practice. The final three teach you how to lead with it: institutionally, economically, and ethically.
First Complete Edition
A Guidebook for Training Brains,
Not Replacing Them with AI
Rethinking AI in Higher Education
AI can write essays, solve problems, and produce work.
So what's left for students to learn?
MIT researchers found that heavy AI users showed significantly weaker neural connectivity than independent writers. After four months, they performed measurably worse on cognitive tests.
Kosmyna et al., 2025, arXiv:2506.08872
The question isn't whether to use AI. It's whether we use it as an elevator that skips the climb or a gym that builds strength.
Explore the Concepts
Walk through the big ideas from the three Complete Edition chapters before you read them. Each exploration opens in a new tab.
Ogres Have Layers
Why "AI in education" is four things, not one, and which changes arrive first.
- Four Layers: Literacy, In, For, Of
- The Displacement Clock
- A shared vocabulary for your institution
Jobs & the New Frontier
Your students' biggest risk is not automation. It is unpreparedness.
- Nine engines of AI job creation
- Scarcity vs. abundance mindset
- Linking each framework to the labor market
AI Companions & the Boundaries of Care
When AI crosses from tool to relationship, and what faculty can do about it.
- The companion spectrum
- Why students seek emotional support from AI
- Faculty roles without becoming therapists
Choose Your Edition
The OER teaches you how to use AI. The Complete Edition teaches you how to lead with it.
Print & Kindle
Available on Amazon
- Ch 1: Cognitive Triage FLUFF/SPARK framework for workload
- Ch 2: The Intelligent Gearbox Prompting progression from basic to agentic
- Ch 3: The Cognitive Gym AI Audit, VINE, progressive overload
- Ch 4: The Intelligent Simpleton Ego barriers, neuroplasticity, learn-it-all culture
- Ch 5: Ogres Have Layers Four Layers of AI in Education + Displacement Clock (explore) Exclusive
- Ch 6: Jobs & the New Frontier Nine engines of AI job creation, abundance mindset (explore) Exclusive
- Ch 7: AI Companions & the Boundaries of Care When AI crosses from tool to relationship (explore) Exclusive
- Workbook & Action Guide Structured sessions for individual and team implementation Exclusive
The Foundation
Free download · CC BY 4.0
- Ch 1: Cognitive Triage
- Ch 2: The Intelligent Gearbox
- Ch 3: The Cognitive Gym
- Ch 4: The Intelligent Simpleton
- Ch 5: Ogres Have Layers (not included)
- Ch 6: Jobs & the New Frontier (not included)
- Ch 7: AI Companions & the Boundaries of Care (not included)
- Workbook & Action Guide (not included)
DOI: 10.5281/zenodo.18425283
Also available in Polish, Danish, and more →
What's Inside
Four practitioner frameworks plus three institutional, economic, and ethical dimensions that complete the picture.
Cognitive Triage
Distinguish FLUFF (work worth delegating) from SPARK (ideas worth thinking). Reclaim time for high-impact pedagogy.
The Intelligent Gearbox
Move beyond basic prompts. Learn the progression from one-shot to agentic prompting and discover why it improves your teaching too.
The Cognitive Gym
Design assignments that add friction, not remove it. The AI Audit, VINE framework, and progressive overload build real cognitive skills.
The Intelligent Simpleton
Overcome the ego barrier. Use AI as a judgment-free zone for learning. The true master is a student for life.
Ogres Have Layers. So Does AI in Education.
Why "AI in education" is four things, not one. The Four Layers model (Literacy, In, For, Of) gives your institution a shared vocabulary and the Displacement Clock tells you which changes are coming when.
Explore (opens in a new tab) Complete EditionJobs & the New Frontier
Nine engines of AI job creation, the abundance mindset, and why your students' biggest risk is not automation but unpreparedness. Connects every prior framework to the labor market.
Explore (opens in a new tab) Complete EditionAI Companions & the Boundaries of Care
When AI crosses from tool to relationship. The companion spectrum, why students seek emotional support from AI, and what faculty can do without becoming therapists.
Explore (opens in a new tab)Workbook & Action Guide
Structured implementation sessions: audit your current practice, redesign one assignment, build your institutional AI vocabulary, and create a personal action plan. Designed for individual use or faculty reading groups.
Hands-On Faculty Worksheets
Companion worksheets for Chapters 1–4. Each is designed for faculty development workshops alongside the OER guidebook. CC BY 4.0.
Cognitive Triage Worksheet
Map your workload onto FLUFF/SPARK, identify delegation candidates, and draft one AI-assisted workflow.
Intelligent Gearbox Worksheet
Practice shifting through all four prompting gears on a real teaching task and compare outputs across gears.
Cognitive Gym Worksheet
Redesign an existing assignment using Progressive Overload, draft an AI Audit rubric, and apply the VINE framework.
Written for educators who want to engage thoughtfully, not resist blindly or surrender completely
Faculty designing AI-aware syllabi and assignments
Instructional designers rethinking assessment
Department chairs navigating AI policy
Teaching centers leading faculty development
Technical programs where verification is safety
Anyone who believes good teaching still matters
Explore the Guidebook through Video
Listen or watch overviews of the main concepts.
Chapters 1-4: Brief Overview
Chapters 1-4: Audio Abridged Version
Chapter 3: The Cognitive Gym
Chapters 5-7: AI & Jobs, AI Companions: The Scarcity & the Abundance Mindset
About the Author
Dr. Szymon Machajewski
Szymon builds the governance, infrastructure, and policy scaffolding that lets colleges and universities adopt AI responsibly rather than reactively. At the University of Illinois Chicago he leads academic enterprise applications and the digital learning infrastructure for a 34,000-student R1 institution. An earlier role as Faculty Fellow for Teaching with AI Technology at a community college keeps his work grounded in open-access institutions, not only well-resourced ones.
He serves on the EDSAFE AI Alliance Council and its SAFE AI Companions Task Force, chairs the EDUCAUSE Student Success Analytics Community Group Steering Committee, and has served on EDUCAUSE Horizon Report expert panels. His writing appears in Inside Higher Ed, EDUCAUSE Review, and the Community College Journal.
Ready to rethink AI in your teaching?
Start with the free OER, or get the Complete Edition with three exclusive chapters and the Workbook & Action Guide.
OER licensed CC BY 4.0 · Complete Edition © 2026 Szymon Machajewski