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Math AA IA Research Question Evaluator

Use the tabs below to generate a new Math AA IA idea or evaluate your current research question.

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Compare High-Scoring vs. Flawed Math AA RQs

Below are examples of evaluated RQs from recent Math AA IAs. Review the strengths and weaknesses to understand the scoring criteria, and feel free to evaluate your own RQ using the form above.

10/10 Score
How well does a logistic regression model predict the probability that a vehicle sold in Germany between 2010 and 2020 is electric based on its manufacturer, price band, and year, as evaluated by model coefficients, AUC, and classification accuracy on a holdout sample?
Strengths:
3

Clear identification of the mathematical method (logistic regression).

Weaknesses:
0
4/10 Score
What is Math AA?
Strengths:
2

Ends with a clear question form, showing investigative intent.

Weaknesses:
4

Specify the mathematical focus clearly by replacing the vague term with a concrete concept (e.g., "logistic regression" or "differential equations"). Example: Change to "What is the role of differential equations in Math AA and how are they applied?"

10/10 Score
What is the cylinder radius and height that minimise the surface area (material used) for a canned product with fixed volume 500 cm³, determined using Lagrange multipliers and validated by a numerical search for the global minimum?
Strengths:
3

Clear mathematical focus using a named technique (Lagrange multipliers).

Weaknesses:
0
4/10 Score
How does Math AA affect things?
Strengths:
2

Clearly phrased as a question, showing inquiry in a recognizable IB style.

Weaknesses:
3

Specify a concrete mathematical focus and replace vague wording (e.g., change “Math AA” to a specific technique or concept). Example: Replace with “How does linear regression within IB Math AA model a real dataset and what is the RMSE of the predictions?”

How to Evaluate Your Research Question

Simply choose your subject and enter your research question. Our evaluator will then analyze your question against the IB requirements and return a report with any issues or improvements you can make. Trained on thousands of IB RQs marked by official IB examiners, our evaluator is able to provide accurate and helpful feedback.

Frequently Asked Questions

Yes. Our Research Question Generator was trained on thousands of high-scoring IB exemplars, and the ideas it generates are designed to align with IB criteria so you can develop research questions that meet the standards.

Select your subject and category (IA or EE), optionally enter a few keywords or interests, then click Generate. The AI returns research question ideas tailored to your subject, which you can refine further with the tweak tools.

No. You can leave the keyword field blank for instant inspiration, or add a few words about your interests to get more targeted ideas.

Generated questions are starting points aligned with IB expectations. Similar research questions appear across cohorts—what matters is that your investigation or essay content is your own work.

The Research Question Evaluator was trained on thousands of research questions marked by IB-certified examiners. It evaluates your research question using the same IB criteria, helping you understand its strengths and areas for improvement.

Free users get a limited number of generations per week. Your limit resets weekly. Upgrade to Pro for higher limits and full access to Clastify AI tools.

A clear mathematical aim using AA strengths (algebra, calculus, proof) with room for personal engagement and extension.

Focus, Analysis and Approaches–appropriate depth, IA-length feasibility, and genuine mathematical development—not one routine calculation.

Try combining a mathematical topic (such as sequences, differential equations, or geometry) with an optional context. Name techniques you can actually explain.