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    18 JUNE 2025

    IB Math IA: The Truth About Scoring Well

     IB Mathematics students are often told something like:

    “Just follow the criteria — if you meet the standards, you’ll score well.” 
    If only it were that simple.

    Anyone who has written an IA — or marked one — knows the truth:


    • The criteria are vague, subjective, and open to interpretation.
    • Teachers can only give limited feedback.
    • Students often have no idea what “good” actually looks like.

    So you may think you’ve written a strong 14/20…

    until it gets moderated down to an 8.


    Let’s talk honestly about what really matters.


    #1: Structure Is Everything (Criterion A)


    What they say:
    “The exploration is coherent, well-organized, and concise.”

    What they mean:
    “Can I skim this quickly and still understand your logic without rereading anything?”


    What works:


    • Clear section headings
      Introduction – Aim – Data – Mathematics – Analysis – Reflection – Conclusion
       
    • A logical progression 
    • Short paragraphs 
    • Clean sentences 
    • A document that looks like a math investigation, not a story or a science report
       

    What fails:


    • Long walls of text 
    • Rambling explanations 
    • Missing headings 
    • Repeating yourself - calculations especially.
       

    Bottom line:
    Make it easy to follow. Examiners are human.
    If they can’t see your structure, they can’t award structure.


     #2: “Mathy Enough” ≠ Just Using Math (Criterion E)


    What they say:
    “Use relevant mathematics at the level of the course.”


    What they mean:
    “Show that you actually understand the math you chose — and that it came from this course.”


    What works:


    • Use syllabus-relevant tools:
      linear regression, Pearson’s r, normal distributions, etc. 
    • Show your work 
    • Explain your results in context 
    • Interpret, don’t just report
       

    What fails:


    • Using fancy math you don’t understand 
    • Copy-pasting calculator output 
    • Throwing in a chi-squared test because you heard it “scores well” 
    • Writing conclusions like: “This means there is a weak correlation.”
       

    Bottom line:
    You don’t need advanced math.


    You need correct, clear, course-appropriate math that answers your question.


    #3: The Illusion of Depth (Criterion D)


    What they say:
    “There is substantial evidence of critical reflection.”


    What they mean:
    “Don’t just describe what happened — analyse it.”


     What works:


    • Mention limitations like sample size, assumptions, confounding variables 
    • Explain what surprised you 
    • Ask “What if?” and follow it with real reasoning 
    • Connect results back to your aim
       


    What fails:


    • Repeating your introduction in your conclusion 
    • One-sentence “reflection” sections 
    • Saying “My results were good” without justification
       

    Bottom line:
    Reflection = meaning, not repetition.


     #4: Engagement Is a Performance (Criterion C)


    What they say:
    “There is evidence of outstanding personal engagement.”


    What they mean:
    “Does it sound like you care? Because if you don’t, we won’t.”


    What works:


    • Start with a real question you actually had 
    • Use first-person voice appropriately 
    • Make predictions, test them, evaluate them 
    • Show curiosity and honest thinking
       

    What fails:


    • “Math is everywhere, so I chose to study…” 
    • Generic introductions 
    • Picking a topic just because someone said it was easy (it shows!)
       

    Bottom line:
    Show real interest — or at least show thoughtful reasoning.


    #5: Speak the Language (Criterion B)


    What they say:
    “Use appropriate and consistent mathematical communication.”


    What they mean:
    “If it looks like math and reads like math, we relax and award marks.”


     What works:


    • Proper notation (using EQUATION) 
    • Labelled axes 
    • Defined variables 
    • Units everywhere 
    • Clear graphs with readable scales 
    • Correct terminology (correlation ≠ causation)
       

     What fails:


    • Excel or calculator syntax 
    • Decimal commas in an English-language IA 
    • Undefined variables
    • Sloppy labelling 
    • Using “x” to mean multiplication
       

    Bottom line:
    Neatness is not decoration — it’s communication.


    Final Advice


    Most students (and many teachers) overestimate IA scores.


    Good work doesn’t automatically score well — unless it is:

    ✔ clearly structured
    ✔ mathematically sound
    ✔ well communicated
    ✔ reflective
    ✔ personal
    ✔ easy to follow


    Before you submit, ask yourself:


    • Can someone unfamiliar with my topic follow this easily? 
    • Is my math correct and explained? 
    • Did I define variables, label graphs, and justify claims? 
    • Do I analyse, not just describe? 
    • Does it feel like an exploration — not a data dump?
       

    If not, it’s not ready yet.


    You can absolutely score well — but not by accident.

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