Build a targeted AA assignment
Choose a topic and subtopic from the IB Math AA structure. Add timing, attempts, and difficulty so the task matches the class stage.
IB Mathematics Analysis and Approaches
IB Math AA marking is not just answer checking. Gradenza is built for proof, algebra, calculus, functions, and multi-part questions where a student can earn marks through correct method even after an early slip. Teachers get AI grading, Follow Through logic, and reports that show exactly where marks were gained or lost.

Audience
Use this workflow when students need detailed feedback on mathematical process, not just final answers.
IB Math AA teachers assigning algebra, functions, calculus, vectors, or proof practice.
HL and SL tutors who need consistent marking between lessons.
Departments standardising grading reports across multiple AA classes.
Teachers who want to see whether errors are conceptual, algebraic, rounding-related, or carried forward.
Workflow
The AA workflow keeps the question, markscheme, student working, and teacher review in one grading report.
Choose a topic and subtopic from the IB Math AA structure. Add timing, attempts, and difficulty so the task matches the class stage.
Students upload photos, scanned PDFs, or Drive files. Multi-page submissions stay tied to the correct question and student.
The grader checks method, accuracy, reasoning, and dependencies. Follow Through logic protects valid later working based on a student own figure.
Teachers skim amber flags, adjust if needed, then release feedback. The mastery map updates by topic and subtopic.
Benefits
AA students need feedback that explains whether their structure was sound. Gradenza turns marking into clearer next-step data.
Reports show where working earned marks, where the final answer failed, and when a later part remained valid through Follow Through.
Mastery maps show which AA subtopics are green, amber, red, or unattempted so teachers can assign revision with evidence.
Mock exam mode lets departments grade full papers, review flags, and export reports without rebuilding spreadsheets.
Proof and trust
Gradenza is designed around human-readable grading reports, not hidden scores.
The grading model accounts for dependencies, own-figure logic, rounding tolerance, and multi-part questions.
The report gives teachers a fast review surface. It does not remove professional judgement from high-stakes decisions.
Departments can compare question-level outcomes, topic weaknesses, and flagged grading decisions across classes.
Related resources
Continue into the adjacent workflow instead of treating this page as a dead end.
FAQ
It can grade structured written working against a markscheme and surface reasoning decisions in the report. Teachers should still review complex proof responses before release.
Yes. Gradenza keeps class, exam, and subject context separate, so AA and AI mastery data do not merge.
Yes. Mock exam mode supports full-paper workflows where teachers upload or assign a paper, collect submissions, review AI grading, and export reports.
Next step
Use Gradenza for the next AA topic set, then decide whether to expand into mock exam grading and mastery reporting.