Build the next realistic practice set for each learner
Use performance, error type, recency, and teacher rules to suggest practice while keeping required curriculum work under teacher control.
Error pattern
Each step stays editable, visible, and connected
These product views use example data to show what the teacher actually sees—not an abstract feature diagram.
- Step 01
Results
The teacher compares the first pass with the original work, changes the score where needed, writes final feedback, and decides what the learner receives.
reviewResults
AI first pass84%Ready for teacher review- Uses evidence4 / 5
- Explains limitations5 / 5
- Recommendation clarity3 / 5
Teacher feedbackGood reasoning. Add one piece of evidence that could disprove your recommendation. - Step 02
Error pattern
Consider recent accuracy, recurring error type, prerequisite gaps, time since practice, and teacher-defined priorities.
courseError pattern
AI & PRODUCTDecision-making with evidenceModule 1Frame the decision3 lessons Module 2Collect useful evidence4 lessons Module 3Test the recommendation3 lessons - Step 03
Teacher rules
Teachers can preserve essential curriculum work and decide where differentiated tasks are appropriate.
practiceTeacher rules
Lesson contextInterview evidence and decision risks01 Explain your recommendationExtended answer · 10 pointsIncluded02 Prioritise the evidence gapsScenario · 8 pointsIncluded03 Record a two-minute defenceSpoken response · 12 pointsReview - Step 04
Suggested set
A concise reason makes practice feel purposeful and helps the learner use previous feedback.
responseSuggested set
AssignmentDefend the decision and name the largest uncertainty.▶02:14Student response“The strongest evidence supports option B, but the sample is still too narrow…”
Transcript ready - Step 05
Learner explanation
The original written, spoken, visual, or presentation response stays beside its transcript and assignment context, so evidence is never reduced to a score alone.
responseLearner explanation
AssignmentDefend the decision and name the largest uncertainty.▶02:14Student response“The strongest evidence supports option B, but the sample is still too narrow…”
Transcript ready - Step 06
Mastery check
Adaptation should respond to evidence without turning the curriculum into an opaque recommendation feed.
liveMastery check
Tue2814:00Live tutoring sessionEvidence review with AnnaRecording · notes · follow-up homework TeacherAnna S.Ben L.Join lesson
The same homework can be too easy and impossible at once
Adaptation should respond to evidence without turning the curriculum into an opaque recommendation feed.
Use explainable signals
Consider recent accuracy, recurring error type, prerequisite gaps, time since practice, and teacher-defined priorities.
Keep required tasks locked
Teachers can preserve essential curriculum work and decide where differentiated tasks are appropriate.
Tell learners why a task returned
A concise reason makes practice feel purposeful and helps the learner use previous feedback.
Measure mastery, not only completion
Evaluate whether later evidence improves and review cases where the suggested sequence does not help.
Common questions
What source formats can I use with adaptive homework?
Adaptation should respond to evidence without turning the curriculum into an opaque recommendation feed. Only use source material you are authorised to process, and remove unnecessary personal or sensitive information.
Does adaptive homework use my own material as context?
Adaptation should respond to evidence without turning the curriculum into an opaque recommendation feed. The selected description, document, recording, lesson, or response remains the grounding context for the requested workflow.
Can I edit the output from adaptive homework?
Consider recent accuracy, recurring error type, prerequisite gaps, time since practice, and teacher-defined priorities. Generated modules, lessons, exercises, criteria, scores, and feedback are saved as editable product objects rather than a block of text to copy elsewhere.
What happens to files and recordings uploaded for adaptive homework?
Only upload material you are authorised to process. Keep personal data to the minimum needed for the teaching task, review the result before sharing it, and follow your organisation’s retention and consent policy.
Can a teacher override the result from adaptive homework?
Teachers can preserve essential curriculum work and decide where differentiated tasks are appropriate. AI can prepare or assess a first pass, but the educator controls source material, assignment, publication, the final score, and student-facing feedback.
Which subjects and languages work with adaptive homework?
Teachers can preserve essential curriculum work and decide where differentiated tasks are appropriate. Support depends on the source quality and requested subject, so educators should review terminology, notation, cultural context, and assessment expectations before use.
How is adaptive homework priced?
AI usage is metered with the same SubSchool AI balance used by course, lesson, homework, and assessment workflows. You can keep drafts private and review the expected operation before publishing or assigning the result.
Can I use adaptive homework without publishing a public course?
A concise reason makes practice feel purposeful and helps the learner use previous feedback. You can keep work private as a draft, test the complete flow with example data, and publish or assign it only after review.
Turn the page into a real teaching workflow
Keep the result editable, connect it to learners, and preserve teacher review.