Protect the people least able to avoid indoor heat.
The human curriculum · Seven human capabilities
The future is not a slogan. It is a curriculum.
Problem-framing, metacognition and ethical judgment do not grow because they appear on a poster. Own Mind is designed to put students in work where the move is necessary, teach it explicitly, return to it in changed contexts and keep the evidence attached to what the student actually did.
Keep the priority; change the intervention after the source check.
Map layer · source limit · counter-position · final rationale
Build and test a position using claims, evidence, warrants, counter-positions, uncertainty and limits.
What work will still need from people
Seven capabilities. Practiced in work—not scored as traits.
When a machine can produce a plausible answer in seconds, the advantage is no longer access to AI. It is the human work the machine does not remove: deciding what matters, checking what deserves trust and standing behind the result.
Recognize what matters
Decide which problem is worth solving, and for whom, before anything is built.
Hold uncertainty
Stay useful when the evidence is incomplete and the answer is not yet settled.
Defend a trade-off
Choose between imperfect options and explain why—out loud, with AI closed.
Coordinate people and systems
Get people, tools and AI working toward one accountable outcome.
Take responsibility
Own the decision and its consequences, not just the output.
The seven capabilities
From abstract words to visible student moves.
Choose one to see how the curriculum is designed to teach it, what evidence students could leave and how it returns in a later task.
The human curriculum
Seven capabilities. Practiced through real work.
These are curriculum constructs, not personality traits. Choose a capability and grade band to inspect the work designed to exercise it—not a score assigned to a student.
Creative problem-framing
Distinguish symptom from need, inspect assumptions and affected people, compare frames and reframe.
A physical or offline make another student can try
Name the next move and explain one concrete choice
Repeated practice, not trait language
A capability has to survive a changed context.
A capability becomes educationally useful when students meet it again after a delay and in a changed task. The work record can show what the student did in that context; it cannot turn a single artifact into a judgment about the student as a person.
Model
Make the move visible and give it shared language inside a knowledge-rich task.
Guide
Rehearse the move with an explicit scaffold, checks and corrective feedback.
Use
Require the move independently in a changed subject, output or social context.
Adapt
Return later with a varied or unfamiliar task that requires selection and adjustment.
Explain
Ask the student to explain the move; a human reviews the declared work evidence.
What the seven mean
Human capabilities, made concrete.
Each construct names teachable moves and the work in which those moves can be inspected.
Set, sequence, monitor, recover.
Begin deliberately, seek the right help, respond to difficulty and complete or hand over responsibly.
Choose and change a strategy.
Predict, monitor understanding, diagnose an error and explain why a different approach is now needed.
Build a position that can be tested.
Connect claims to evidence and warrants, engage a counter-position and state uncertainty and limits.
Find the problem behind the symptom.
Inspect assumptions and affected people, compare frames and change the question when the first one is weak.
Work with responsibility and dissent.
Listen, take a role, surface disagreement, negotiate, repair and create a usable handover.
See the values inside the choice.
Weigh people, rights, duties, care, justice and benefit, then justify a decision that remains revisable.
Act responsibly under uncertainty.
Separate known, unknown and assumed; hold alternatives, run reversible tests and update after surprise.
The seven in action
Eight work habits you can see in the work.
The same capabilities, expressed as everyday moves visible in student work. This is a practice lens—not a second capability framework or a student score.
Define the work before selecting the tool.
Notice a real need, listen to people, define success and decide what must remain human before choosing whether AI belongs.
Notice what changed a judgment—and why.
Commit a first view, identify which help sharpened or distorted the work, and explain the method in their own words.
Give the machine a job—not the whole problem.
Choose AI, another tool, a person or no tool; then set inputs, limits, approval points and a test for one bounded contribution.
Treat fluent output as a proposal, not proof.
Trace claims to sources, distinguish confidence from evidence, test edge cases, keep uncertainty visible and change position when the evidence earns it.
Use assistance without surrendering intention or voice.
Make before generating, inspect machine changes separately and decide what to keep, change, reject or hold.
Put the work in contact with evidence and reality.
Try the work with sources, users, rules or fixtures; treat failure as information; revise a named version and preserve the reason.
Listen, contribute, disagree and hand over well.
Notice missing perspectives, allocate roles, receive critique, record dissent and return useful work clearly to another person.
Use more power with more answerability.
Name an accountable human, set permissions and stopping conditions, weigh benefit and harm, make justified commitments and close responsibly.
The human curriculum
Do not tell students to think better. Give them work that makes better thinking necessary.
Use the same capability language in the dedicated curriculum and across subject work. Evidence remains tied to the task where it happened.