A Step-by-Step Guide to IB Math AI Internal Assessment

Your research question should clearly define what you’re exploring. Avoid vague phrasing like “How does data affect performance?” Instead, make it measurable and mathematical:

• “Can a logarithmic model accurately represent the correlation between caffeine intake and study duration?”
• “Is there a linear relationship between reaction time and hours of sleep?”

RevisionDojo’s Research Question Builder tool (inside the IA/EE Guide) walks you through refining your question until it fits IB standards for clarity and depth.

Step 3: Collect or Source Data

Math AI IAs rely heavily on data — either collected by you or found through reliable sources.

You can:

• Conduct surveys or experiments (primary data).
• Use datasets from government or academic sources (secondary data).

Tips:

• Aim for 30–60 data points for meaningful analysis.
• Always cite sources clearly.
• Clean your data (remove outliers, verify units).

RevisionDojo provides example data cleaning methods inside the IA/EE Guide’s Data Preparation Module.

Step 4: Select Appropriate Mathematical Tools

Choose math methods that match your question. In Math AI, these often include:

• Descriptive statistics (mean, variance, standard deviation).
• Correlation and regression.
• Probability distributions.
• Modeling with linear, exponential, or quadratic functions.

RevisionDojo’s Notes library links each tool to sample IA applications, helping you understand how to integrate math meaningfully.

Step 5: Analyze and Model Your Data

Now, turn your data into insight. Plot graphs, find best-fit models, and analyze relationships.

For example:

• Use linear regression for straightforward trends.
• Try exponential or logarithmic models for growth or decay.
• Compare multiple models and justify which fits best.

RevisionDojo’s IA/EE Exemplars show how to balance clarity and mathematical rigor in this section. Notice how top IAs explain why they chose each model — not just the results.

Step 6: Interpret and Reflect on Your Findings

The reflection stage is where you show understanding, not just computation.

Ask yourself:

• What does this model tell me about the real-world relationship?
• How accurate is it?
• What are the limitations?

Strong reflections sound like this:

“Although my linear regression shows a correlation coefficient of 0.89, the scatterplot reveals clustering, suggesting the relationship weakens beyond certain values.”

RevisionDojo’s Reflection Prompts inside the IA/EE Guide help you write thoughtful, IB-ready reflections.

Step 7: Structure and Present Professionally

The presentation criterion makes up a large part of your IA mark. Your report should read smoothly, look clean, and use proper IB formatting:

Recommended structure:

1. Introduction — your research question and context.
2. Mathematical Exploration — analysis, graphs, and calculations.
3. Interpretation — results and discussion.
4. Reflection — evaluation of limitations and extensions.
5. Conclusion — concise summary of findings.

The IA Formatting Templates in RevisionDojo ensure your layout, headings, and graphs meet IB expectations.

Step 8: Use Exemplars to Polish Your Final Draft

Before submission, compare your work to RevisionDojo’s top-scoring Math AI Exemplars.
Ask:

• Does my exploration flow logically?
• Have I explained every formula and decision clearly?
• Is my reflection analytical, not repetitive?

This final comparison helps you catch small gaps that can make a big difference in your final grade.

Frequently Asked Questions

1. How long should my Math AI IA be?
Around 12–20 pages, including graphs, tables, and appendices. Quality matters more than quantity — concise, well-explained work earns top marks.

2. Can I use technology like Desmos or Excel?
Yes, and you should. Just explain what the software does and how you used it. Screenshots with labeled graphs add clarity.

3. What’s the biggest difference between AA and AI IAs?
AI focuses more on data interpretation and real-world modeling, while AA emphasizes analytical reasoning and symbolic manipulation. RevisionDojo provides tailored examples for both.

Final Thoughts

Writing a great Math AI IA doesn’t require advanced math — it requires clear thinking, structure, and curiosity.
With RevisionDojo’s IA/EE Guide, you’ll have access to practical examples, templates, and top-scoring models that simplify every step.

Start early, stay organized, and focus on meaning over complexity. Your IA will not only meet IB standards but exceed them.

Call to Action

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