Introduction
The first time most students hear the word IA, they picture a single thing: “a big project.” Then reality arrives. Your Biology IA wants controlled variables and uncertainty. Your History IA wants source value and limitations. Your Math IA wants elegant reasoning and reflection, not a lab report wearing a calculator.
That mismatch is where stress usually starts. Not because you can’t do the work, but because you’re applying the wrong definition of good to the wrong subject. This guide compares IA expectations across sciences, humanities, and mathematics so you can adjust early, write with purpose, and stop losing marks to invisible rules.
If you want to calibrate fast, browse real models in RevisionDojo’s coursework exemplars and compare what “high scoring” looks like in different subjects.

Quick checklist: what examiners usually reward in an IA
Use this as your pre-write filter. If your draft misses the “shape” your subject expects, polishing the wording won’t help.
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Science IA: a testable research question, replicable method, enough data, correct processing, honest evaluation
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Humanities IA: a sharply focused investigation, smart source selection, evaluation of reliability/bias, sustained argument
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Math IA (Exploration): clear aim, substantial mathematics, logical communication, reflection on choices and limits
When you need criterion-level guidance, start from IB Internal Assessment Guides and then check one exemplar from your subject to see the checklist in action.
Science IA expectations (Biology, Chemistry, Physics, ESS)
A science IA is essentially your ability to think like a careful investigator. Examiners are not looking for a “cool experiment.” They’re looking for decisions you can defend.
What strong science IAs usually include
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A research question that’s measurable (clear independent/dependent variables with units)
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A method that’s replicable (someone else could repeat it and get comparable data)
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Control of variables (or a realistic justification when control isn’t possible)
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Enough trials and range of measurements to make analysis meaningful
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Data processing that matches the question (graphs, uncertainties, statistics where appropriate)
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Evaluation that reads like science: limitations, improvements, and impact on confidence
If your science IA feels vague, the fastest fix is usually narrowing the question, not adding paragraphs. RevisionDojo’s IB Biology IA: 8 Essential Tips to Score a 7 is a good example of how “simple but controlled” often beats “ambitious but messy.”
How to make your science IA help your exams
A quiet advantage: your IA exposes weak skills that also show up in Paper questions (data-based analysis, justification, evaluation). Pair each IA writing session with 20 minutes of targeted practice in the IB Question Bank guide so the coursework doesn’t steal your exam momentum.
Humanities IA expectations (History, Geography, Psychology and more)
A humanities IA rewards judgment. Not just what you found, but why those sources, why that case study, why that interpretation. Examiners want to see you handle evidence like a skeptic, not a collector.
What strong humanities IAs usually include
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A focused, researchable question with clear scope
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Background context that supports the investigation (not a textbook summary)
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A balanced set of sources (often primary and secondary) selected for a reason
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Source evaluation: reliability, bias, perspective, usefulness, limitations
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Argument that develops across the essay (claims tied to evidence, not just narrative)
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Conclusion that answers the question and acknowledges uncertainty
If your draft reads like a timeline or a Wikipedia remix, you probably need more evaluation and a clearer line of argument. For topic direction and feasibility checks, Social Studies IB IA Topic Inspiration helps you spot questions that naturally invite analysis.
A practical tool for criterion clarity
Many students lose marks because they “feel” their IA is good but can’t map it to criteria. Use the IB History IA rubric grader to translate the rubric into plain English, then self-grade before your teacher ever sees it.

Math IA expectations (the Exploration)
A Math IA is not a lab report with numbers. It’s closer to a guided tour of your thinking: you choose an aim, develop mathematics, explain decisions, and reflect on what your work can and cannot claim.
What strong Math IAs usually include
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A clear aim (sometimes framed as a research question, sometimes as an exploration goal)
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Mathematics that is appropriate and substantial for your level
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Step-by-step reasoning with correct notation and communication
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Interpretation of results (what they mean in context)
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Reflection throughout: why you chose a method, what assumptions you made, what limitations matter
If you want your writing to sound mathematical rather than descriptive, 10 Essential Tips to Write a Strong IB Math IA Commentary is a strong checklist for structure and tone. And if your issue is organization, How to Structure Your IB Math IA Logically helps you build a clean narrative line.

The simplest way to compare IA expectations: four lenses
Evidence
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Science IA: measured quantitative data (with uncertainties)
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Humanities IA: sources, perspectives, qualitative and quantitative evidence
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Math IA: mathematical objects: models, functions, proofs, derivations, statistics
Method
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Science IA: method is a procedure you can replicate
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Humanities IA: method is how you select, evaluate, and interpret sources
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Math IA: method is your mathematical approach and why it fits the aim
Analysis
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Science IA: trends, relationships, processing choices, reliability
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Humanities IA: interpretation, argument, counterarguments, significance
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Math IA: logical progression, validity of steps, depth, communication
Evaluation
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Science IA: errors, limitations, improvements, impact on conclusion
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Humanities IA: source limitations, bias, missing voices, uncertainty
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Math IA: assumptions, model fit, constraints, possible extensions
Common mistakes students make when switching IA “modes”
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Writing a humanities IA like a science report (too descriptive, not evaluative)
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Writing a math IA like a science IA (data-heavy, reflection-light)
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Treating the science IA conclusion as opinion instead of a claim bounded by evidence
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Assuming formatting is universal and ignoring subject-specific criteria
A good reset is to open two high-scoring examples from different subjects and notice what gets space on the page. That’s exactly what RevisionDojo’s coursework exemplars are best for.
Conclusion: treat “IA” like a label, not a format
An IA is not one assignment repeated six times. It’s a family name shared by projects with different rules. Science IAs reward design, data, and evaluation. Humanities IAs reward source judgment and argument. Math IAs reward mathematical communication and reflective thinking.
If you want to raise your IA score while protecting exam prep, use RevisionDojo as your home base: learn quickly with Study Notes, lock understanding with Flashcards, test skills in the Questionbank, sanity-check logic with AI Chat, and refine drafts with Grading tools. Then compare your work against real standards using RevisionDojo’s coursework exemplars and keep moving toward exam day with confidence.