Maths IA Research Question Evaluator
Use the tabs below to generate a new Maths IA idea or evaluate your current research question.
IA
Compare High-Scoring vs. Flawed Maths RQs
Below are examples of evaluated RQs from recent Maths IAs. Review the strengths and weaknesses to understand the scoring criteria, and feel free to evaluate your own RQ using the form above.
To what extent can the horizontal range of a projectile launched from ground level be modelled by including linear air resistance compared with the ideal no-resistance parabola?
Strengths:
Clear focus on a measurable outcome (horizontal range).
Weaknesses:
What are the effects of Maths on society?
Strengths:
The question is stated as a clear, standalone inquiry in question form.
Weaknesses:
Specify a mathematical focus by including a clear concept (e.g., 'statistical modelling' or 'calibration of a mathematical model'). For example, replace with: 'What are the effects of statistical modelling on society?' or 'How does mathematical modelling influence societal outcomes?'.
What are the effects of Maths on society?
Strengths:
Clear focus as a question about the impact of mathematics on society.
Weaknesses:
Specify the mathematical concept or method explicitly (e.g., include terms like statistical modeling or probability). Example: insert "statistical models" or "probability analyses" into the RQ. Before→After: "What are the effects of Maths on society?" → "What are the effects of mathematics on society, as assessed using statistical models?"
Investigating the convergence rate of the ratio of consecutive Fibonacci numbers to the golden ratio by analysing the sequence of errors and fitting an asymptotic model
Strengths:
Clearly identifies the mathematical focus and the specific objects of study (Fibonacci ratios and the golden ratio).
Weaknesses:
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
Can I use the ideas from Clastify's Research Question Generator?
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.
How does the Research Question Generator work?
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.
Do I need to enter keywords to generate research questions?
No. You can leave the keyword field blank for instant inspiration, or add a few words about your interests to get more targeted ideas.
Are AI-generated research questions original enough for IB coursework?
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.
How does the Research Question Evaluator 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.
How many free generations do I get?
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.
What do strong Mathematics IA questions share?
A focused aim, coherent exploration path, and mathematics at a depth you can explain—not a catalogue of unrelated techniques.
What does the Evaluator look for in Mathematics research questions?
Clarity, feasible depth, and whether the aim invites development rather than a single answer from a formula.
How much maths is “enough” for a top exploration aim?
Depth and insight beat length. Sustained development of one idea outperforms shallow use of many.
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