Annotates the passage and commits to a tentative interpretation before AI enters.
The Learning Bridge · Across Subjects
Put AI learning to work inside every subject.
In Own Mind, students learn how AI works, where it fails and how to direct, test and defend its use. The Learning Bridge carries those learned moves into English, science, Social Studies, mathematics and creative subjects, where disciplinary knowledge sets the standard. Learn it in the AI curriculum. Use it in the subject.
Learn the method in Own MindApply it through the subjectKeep student judgment visible
English 9 · close readingHow could this phrase change your reading?
What students are learning
Support an interpretation with precise textual evidence and examine how an ambiguous word changes the reading.
Points to one teacher-approved ambiguous phrase implicated in that reading and asks the student to test two possible senses.
The line-numbered passage, authorized lexical notes and an ambiguity matrix.
How the Learning Bridge works
The AI curriculum teaches the method. The subject gives it purpose.
Students learn Act → Delegate → Verify → Defend in the dedicated curriculum. Subject teachers then bring the disciplinary question, sources, misconceptions and standards of quality. The familiar method is designed to return inside work where subject knowledge stays in charge.
AI knowledge and an accountable method.
Students learn how AI works and practice Act → Delegate → Verify → Defend in meaningful work.
Disciplinary knowledge and standards.
The teacher sets the question, source body, likely misconception, success criteria and rubric.
A student-owned piece of work.
The task is designed to keep the student’s first view, AI job, subject check, revision and explanation together.
When missing prior knowledge blocks the lesson
Cue helps recover the missing knowledge, then hands the student back to the lesson. It does not take on the AI job or complete the student’s thinking.
Cognitive custody · kept inside the subject lesson
The subject changes. Who owns the thinking does not.
The Learning Bridge is designed to keep the same boundary in every discipline: the student makes the first subject move, AI gets one declared job—or stays off—and subject evidence tests what comes back.
The student records a substantive first judgment before AI contributes.
The prediction, interpretation, priority or method begins with the student.
AI contributes to the work, not the decision.
Its role, source boundary and stopping point are named—or AI stays off.
The student tests the contribution and explains the final call with AI off.
A source, rule, method or reality check determines what is kept, changed, rejected or held.
The record is designed around the work, not a profile of the student.
Teachers review task decisions, tests and revisions—not attention scores, engagement trends or inferred traits.
Powerful AI, used for a declared purpose
Choose the right AI tool for a useful job. Keep the student’s decision in view.
This is not AI reduced to a calculator or word processor. A school-approved tool can challenge evidence, compare versions, find patterns, offer alternatives or expose a weak assumption. The contribution is optional, declared, limited to approved material, stopped before the protected thinking and checked against the subject. The student decides what survives.
Choose a subject
Choose a curriculum band
Ideas that match32 lesson ideas
Each keeps the subject check and final decision with the student
Does this quotation support the inference?
How could this phrase change your reading?
Where could this line of inquiry break?
Which source supports this truth claim?
Can one case disprove this conjecture?
When does this function model stop fitting?
Do the data meet the conditions for this inference?
Which link in this ecosystem model needs testing?
Which criterion could this incubator design fail?
What evidence shows this design reduces collision force?
Which failure mode is missing from this model?
Do these sources really corroborate each other?
Which claims does this document actually support?
Does the map support this settlement claim?
What does this migration pattern reveal—and hide—about place?
Where is this trade network most vulnerable?
Does this claim still hold at a different scale?
Which neighborhood should the city protect from heat first?
What can this source not tell us?
What changes if this policy assumption fails?
Where does the model conflict with the data?
Which facts matter under this rule?
What can this study design justify?
Is this study both valid and ethically defensible?
What in the French source supports this inference?
Can you explain and defend this answer in French?
Where is the visual evidence for this claim?
Which exact moment supports this musical claim?
Which test case could break this algorithm?
Which state change breaks this contract?
Does this invariant survive every test?
How far does this health source justify the claim?
See one lesson from first work to final decision
Know exactly what AI may add—and what the student must still decide.
AI responds to something this student actually made. Students then use the teacher's approved evidence to decide whether the response holds up.
English 9 · close reading · PROVE · Proof LabHow could this phrase change your reading?
Annotates the passage and commits to a tentative interpretation before AI enters.
Points to one teacher-approved ambiguous phrase implicated in that reading and asks the student to test two possible senses.
Choosing the interpretation, selecting the evidence or writing the analysis.
The line-numbered passage, authorized lexical notes and an ambiguity matrix.
What the teacher can review
The original claim, the student’s sense test, the revised interpretation and the reason for keeping or changing it.
AI-off follow-up · Repeat the close-reading move on a new passage with AI closed.Illustrative teacher compiler
Bring your own AI idea—not just a preset.
Start with an existing task or an inventive new use for a school-approved AI tool. You choose the learning, tool, job, material, response and disciplinary check. The compiler is designed to translate that idea into a clear student–AI boundary and equal-status AI-off route; it does not invent the lesson or replace your subject judgment.
Choose the closest idea, then replace it with this class's content, sources and standard.
Choose any school-approved tool and job that serves the learning, then set the student's first action, stopping point and subject check.
Your idea, translated into a clear AI boundarySee every important choice before students use it.
Student AI offThese are examples—not the edge of the tool.
Teachers can author a different job and select the school-approved AI that fits it. Own Mind is designed to keep that freedom while making the permitted material, output, stopping point, check and student-owned decision explicit.
English 9 · close reading
After students annotate the passage and commit to a tentative reading, AI may point to one authorized phrase that complicates that reading and ask one contrastive question using only the line-numbered passage and teacher lexical notes. It returns one phrase reference and one question and stops before the interpretation, evidence choice and analysis. Students check it with the passage and ambiguity matrix, then complete a fresh close-reading action on another passage.
annotate the passage and commit to a tentative reading.
point to one authorized phrase that complicates that reading and ask one contrastive question. Stop before the interpretation, evidence choice and analysis.
Check with the passage and ambiguity matrix.
Keep, change, reject or hold—then explain and work independently.
Teacher freedom
Approved tool · learning goal · allowed material · AI job · response format · stopping point · subject check · AI-off action
Own Mind is designed to prevent
Open-ended chat · AI grading or diagnosis · hidden student profiles · output with no agreed format or check
Strengthen the habits behind good subject work
Students exercise human capabilities through decisions—not badges or scores.
The learning comes first. The same task can also exercise a human capability such as critical reasoning or self-regulation. The task is designed to let teachers see the work and the reason—not a score or personality label.
Self-regulation
Make the first attempt, choose whether support is useful, stop before over-help and complete the AI-off action.
Metacognition
Name the gap or strategy and record what evidence changed—or did not change—the first view.
Critical reasoning
Test a source, proof condition, model, interpretation or method against disciplinary authority.
Problem framing
Declare the question, domain, variable, audience, constraint or success condition before delegation.
Collaboration
Carry an inspectable disagreement or repaired explanation into a real peer or teacher exchange.
Ethical judgment
Make and explain a rights, provenance, privacy or representation decision while a human retains approval.
Adaptive thinking
Revise the model or plan after a failed test, edge case or unresolved uncertainty.
A sequence designed for later application
Learn the move. Apply it with support. Use it independently.
This is an explanation of how the Learning Bridge is intended to work, not a claim that transfer has already been demonstrated.
Learn the move explicitly.
The dedicated curriculum teaches and rehearses the four-step method before subject use.
Apply it where disciplinary knowledge leads.
The familiar move meets a new question, source set, misconception and subject standard.
Make and explain a subject-specific judgment.
A later task asks the student to select and adapt the learned move without AI support.
AI curriculum → Learning Bridge
See how Own Mind could fit the teaching you already do.
Learn the method in Own Mind, then use the Learning Bridge to put it to work in the subjects, sources and standards students already meet.