A step-by-step practice frame for the IB Mathematics: Applications & Interpretation exploration. Turn a real-world interest into a focused research question, develop sound AI-level modelling or statistics, and build a clear, critically reflective investigation — with the five assessment criteria and the 12–20 page method built in.
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To cite a source, click “Insert citation” on any entry while a writing box is focused — it drops an in-text citation at your cursor.
This is roughly how your exported DOCX / PDF will read. Use it to rehearse a focused, well-organised exploration that answers your research question.
The IB Mathematics: Applications and Interpretation exploration — the maths IA — is a 12–20 page written investigation of a mathematical topic of genuine personal interest. For the AI course the strongest explorations are real-world: you model a phenomenon, analyse a data set, apply statistics or probability, and use technology to do the work. This examiner-written practice frame walks you through the method step by step — choose a real-world topic you actually care about, sharpen it into a focused research question that appropriate AI-level mathematics can answer, plan the route from question to result, then develop the modelling, statistics or data analysis, present it with correct notation and labelled graphs, and reflect critically on what the results mean and where they fall short. Each step is paired with the five assessment criteria, worked good-and-bad examples and the traps that cost marks, and your draft exploration exports to DOCX or PDF.
The exploration is marked out of 20 across five criteria: A — Presentation (4); B — Mathematical communication (4); C — Personal engagement (3); D — Reflection (3); E — Use of mathematics (6). Top-mark explorations pose a focused real-world research question, apply mathematics that is correct, relevant and appropriately challenging for the AI course, communicate it with consistent notation and clearly labelled representations, show genuine personal engagement through their own data and approach, and reflect critically on results, validity and limitations.
The whole exploration is built around a focused research question — usually a "How accurately…?" or "To what extent…?" question that real-world mathematics can answer. Treat the investigation as your own: collect or source data, fit a model or run a test, use technology to handle regression, simulation or plotting, and interpret every result in its real-world context rather than producing numbers for their own sake. Keep returning to the question, and reflect honestly on the assumptions and limitations of your model or data.
The Maths AI exploration tool is examiner-written and guides you through the full method from question to critical reflection. The frame and its guidance are written by experienced IB educators. It is free to start: the planning sections are free, and the later sections are a one-time unlock per tool. Sign in to save your work and sync it across devices.