AI gives answers. Your child asks better questions.
T1 Computational Thinking Computational thinking is breaking a problem into steps, keeping only what matters, writing rules that solve it, and checking that those rules actually work.
T2 Systems Thinking Systems thinking is seeing causes and effects as connected loops, and finding the delays, the stakeholders and the leverage points where a small change makes a large difference.
T3 Critical & Scientific Thinking Critical and scientific thinking is testing claims, including an AI's answers, against evidence and controlled experiments instead of accepting them as given.
T4 Data & Probabilistic Thinking Data and probabilistic thinking is reasoning from data under uncertainty, and reading what a model metric such as accuracy does and does not tell you.
C1 Empathy & Human-Centred Design Empathy and human-centred design is starting from real people's needs and testing what you build with those same people.
C2 Creative Ideation Creative ideation is diverging by hand first, extending with AI, then converging by human judgment, so the result stays original.
C3 Builder Agency Builder agency is shipping, from nothing to finished, an artifact that real people actually use.
C4 Integrative Thinking Integrative thinking is connecting disciplines and, when two of them pull against each other, finding an answer that keeps what matters in both.
A1 Specification & Promptcraft Specification and promptcraft is stating the goal, context, constraints, format and acceptance criteria whenever you hand work to a machine or a person.
A2 Delegation & Verification Delegation and verification is splitting work between human and AI through Plan, Delegate, Verify, Review, bounding every AI task and checking everything it returns.
A3 Trust Calibration Trust calibration is knowing, with reasons, when to trust an AI and when to trust yourself.
A4 Ethical & Futures Judgment Ethical and futures judgment is weighing who a creation is fair to, whom it could harm and what it leaves behind over time, and crediting the AI's part openly.
Apex: two first-order skills First Principles Thinking: Every lesson opens with one first-principles question. · Metacognition: Every lesson closes with a teach-back or a calibration check.