Thinking in the Age of AI
Critical thinking, discernment, creativity — the skills AI can't replace.
Elementary
Using Your Amazing Brain
Your brain is an amazing thinking machine. Kids learn what thinking is, how attention and memory work, and that thinking grows stronger with practice.
Asking and Wondering
Great questions power great thinking. Kids learn to ask why, to wonder about the world, and to use curiosity as a superpower.
Checking and Knowing
Smart thinkers check what they hear. Kids learn the difference between facts and opinions, how to look for evidence, and how to check what AI tells them.
Thinking It Through
Every problem can be thought through. Kids learn to break problems into steps, try different ideas, learn from mistakes, and decide carefully.
Thinking With AI Helpers
AI can help you think — but your thinking comes first. Kids learn to think before they ask, check AI's answers, and stay the boss of their own brain.
Capstone Project: Become a Question Detective
Collect surprising claims and investigate which are true.
Middle
How the Mind Works
The mind is a thinking machine with patterns and pitfalls. Students study fast and slow thinking, attention, memory, cognitive biases, and metacognition.
Reasoning and Argument
Good thinking means good reasoning. Students learn to build arguments, distinguish claims from evidence, spot logical fallacies, and reason about AI.
Evaluating Information
In a flood of information, evaluation is everything. Students learn to judge sources, weigh evidence, spot misinformation, and check AI-generated answers.
Learning How to Learn
Learning is a skill that can be trained. Students study how memory forms, deliberate practice, retrieval, productive struggle, and learning with AI tutors.
Thinking Well With AI
AI is a powerful thinking tool — and a tempting crutch. Students learn cognitive offloading, when to think first, and how to keep human judgment in the loop.
Capstone Project: Fact-Check Investigation
Pick a real claim and investigate it like a fact-checker.
High School
Cognition and Its Limits
Thinking starts with understanding cognition. Students study dual-process theory, heuristics, cognitive biases, bounded rationality, memory's reconstructive nature, attention as a scarce resource, and debiasing strategies — then apply everything in a personal cognitive self-audit.
Logic, Argument, and Inference
Rigorous thinking rests on logic. Students study argument structure, deductive and inductive inference, fallacies, Bayesian reasoning, and evaluating AI arguments.
- 1The Anatomy of an Argument
- 2Deductive Validity and Soundness
- 3Inductive and Abductive Inference
- 4Formal and Informal Fallacies
- 5Bayesian Reasoning
- 6Steelmanning and Charitable Interpretation
- 7Evaluating AI-Generated Arguments
- 8Constructing Rigorous Arguments
- 9Argument Analysis Lab
- 10Module Check: Logic and Inference
- 11Lab: Argument Builder
Epistemics: Knowing in an AI World
Knowing well is hard in an AI world. Students study evidence, justification, calibration, expertise, truth, and the epistemic risks AI introduces.
Decision-Making and Judgment
Good judgment can be trained. Students study decision-making under uncertainty, expected value, risk, judgment traps, and deciding well with AI.
Intellectual Character in the Age of AI
Thinking well is a matter of character. Students cultivate intellectual humility, courage, curiosity, cognitive autonomy, and lifelong intellectual habits.
Capstone Project: Build an Argument Map
Map and evaluate the reasoning around a complex issue.