The moment every IB student has
You open a high-scoring IA exemplar and feel two emotions at once: relief (so that’s what “good” looks like) and panic (what if my IA ends up looking too similar?).
That tension is normal. In fact, it’s part of learning. The problem isn’t using someone else’s IA as inspiration. The problem is sliding from “I learned how this works” into “I borrowed what makes it theirs.”
This guide is a calm line in the sand: what you can reuse, what you can’t, and how to turn inspiration into an IA that is unmistakably your own.
IA inspiration checklist (safe in 60 seconds)
Use this quick check before you commit to an IA idea:
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Am I copying structure or copying substance? Structure is fine. Substance is where trouble starts.
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Could my data only come from my setup or my sources? If not, your IA may be too close.
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Is my research question meaningfully different in variables, context, or method? One swapped adjective won’t save an unoriginal IA.
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Can I explain my choices (not just the result)? Examiners reward reasoning.
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Do I have proof of independent work? Notes, drafts, version history, and raw data.
If you want exemplars that help you learn structure without tempting you into copy-mode, start with RevisionDojo’s IB Internal Assessment Guides and browse the IA tag hub.
What’s acceptable to reuse in an IA (and why it’s actually smart)
Looking at other students’ IA work is like watching game film. You’re not stealing the playbook; you’re learning what “good execution” looks like.
Acceptable inspiration includes:
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Layout and flow: how the introduction leads into method, then analysis, then evaluation.
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Presentation habits: clear tables, labeled graphs, consistent units, tidy headings.
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Evaluation language: how to discuss uncertainty, limitations, reliability, and improvements.
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General research-question patterns: the shape of a strong question, not the same question.
A practical move: read an exemplar and write down only “moves” you noticed (e.g., “defines variables early,” “links conclusion back to data trend”). Then close it and plan your IA from scratch.
To sharpen the parts students usually rush, keep these nearby: How to Use Data Effectively in Your IA Analysis and How to Write a Compelling IA Evaluation Section.
What’s not acceptable (the similarity traps that sink an IA)
Academic honesty issues usually don’t come from one dramatic act. They come from a series of small, tired decisions.
Unacceptable reuse includes:
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The same (or nearly identical) research question
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A replicated method with only cosmetic tweaks (changing one concentration, one date range, one sample)
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Reusing data, graphs, results, or conclusions (even if you “redraw” them)
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Paraphrasing unique reasoning from another IA without clear acknowledgment
A simple test: if an examiner could reasonably say, “This is essentially the same investigation,” your IA is too close.
How to turn someone else’s IA into your own original work
Here’s the shift that matters: you’re allowed to borrow the frame, but you must supply the thinking.
Extract structure, not substance
When you read an exemplar, focus on decisions that transfer across topics:
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Where did they justify choices?
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How did they control variables?
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How did they connect analysis to the research question?
Then build your IA around your own constraints: your equipment, your dataset, your local context, your chosen model, your participants.
Add a “personal twist” that changes the investigation
If the inspiration is “enzyme activity vs pH,” an original IA twist could be:
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a different enzyme source,
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a different independent variable,
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a different measurement approach,
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a different context (field conditions vs lab conditions),
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a different analysis technique.
The goal isn’t to be weird. It’s to be clearly independent.
Write a research question that forces originality
A strong IA question quietly proves you did your own work because it’s specific to your method and data.
Try building it around:
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your exact variable ranges,
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your exact population/sample,
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your exact environment/materials,
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the exact model or statistical test you will use.
If you’re stuck at the “is this viable?” stage, this helps: How to Choose the Perfect IA Topic for IB Students and Which IA Should You Start First? A Calm IB Strategy.
Acknowledge inspiration when it genuinely shaped your approach
If an exemplar influenced your direction, transparency is safer than pretending it didn’t exist. In reflections, you can briefly note that you reviewed examples and then explain what you changed and why.
That honesty pairs well with process evidence: dated planning notes, pilot trials, rough calculations, and draft iterations.
Why copying is risky (even when you think it’s “different enough”)
The IB expects each IA to represent independent work. Schools also use detection tools and moderation checks that can flag overlap in phrasing, structure, and investigation design.
And the hidden cost is worse than penalties: a copied IA teaches you nothing. Then exams arrive, and you’re trying to think clearly under time pressure without having built the skill.
RevisionDojo is built to reduce that temptation by giving you legitimate support: the Coursework Library for models, Grading tools for rubric alignment, and AI Chat when you’re stuck and need a next step instead of a shortcut. When exams get closer, keep momentum with Study Notes, Flashcards, Questionbank, Mock Exams, and Predicted Papers.
For exam practice that doesn’t eat your whole week, see IB Question Bank | How to Use It Effectively.
Final takeaway: learn the approach, not the answer
Using an exemplar to understand how a great IA is built is not only allowed; it’s one of the fastest ways to improve. But your IA must carry your own thinking: your question, your method choices, your data, and your conclusions.
If you want inspiration that stays ethical, use RevisionDojo to study models in the Coursework Library, pressure-test your draft with Grading tools, and ask AI Chat to help you refine an original research question. Then keep your exam prep steady with Flashcards, Study Notes, the Questionbank, and targeted Mock Exams so coursework doesn’t hijack your season.
Further reading that pairs well with this: How IA Moderation Works (and How to Protect Your Grade) and How Many Sources Should an IA Have?.