IB Math IA: How the Five Assessment Criteria Are Scored
Under the current IB Mathematics framework used for assessments before the first assessment in May 2029, the Math IA is an individual mathematical exploration required in Analysis and Approaches and Applications and Interpretation at SL and HL. It contributes 20% of the final subject result and is marked out of 20.
Criterion A
Presentation
4 marks
Criterion B
Mathematical communication
4 marks
Criterion C
Personal engagement
3 marks
Criterion D
Reflection
3 marks
Criterion E
Use of mathematics
6 marks
What does the current guide say about length?
The exploration should be approximately 12–20 double-spaced pages. Diagrams and graphs count within that guidance, while the bibliography does not. Quality, relevance, and concise mathematical communication matter more than reaching a page target.
Keep the assessment framework separate
The criteria on this page apply to the current framework. Do not mix them with the revised course for first assessment in May 2029; see our new IB Math curriculum guide for that change. For topic planning, browse our Math IA ideas.
Official IB sources checked
- IB Mathematics: analysis and approaches guide
- IB Mathematics: applications and interpretation guide
- IB Diploma Programme mathematics overview
- IB guidance on artificial intelligence in assessment
- IB academic integrity policy
- IB Mathematics AA update for first assessment May 2029
- IB Mathematics AI update for first assessment May 2029
IB Math IA Complete Guide
Mathematics Analysis & Approaches | Applications & Interpretation
Assessment Criteria Breakdown
Five criteria evaluated independently - excellence in one doesn't guarantee success in others
Presentation
Organization and coherence of the exploration. A well-structured IA that logically develops ideas and is easy to follow.
- ✓Clear introduction with rationale explaining why you chose this topic
- ✓Straightforward description of the project's aim and context
- ✓Well-organized body with complete explanations and all equations shown
- ✓Concise conclusion connecting processes to prove/reject hypothesis
- ✓Proper citations for external data sources
Mathematical communication
Relevant and appropriate mathematical language, notation, symbols, terminology, and representations used consistently.
- ✓Use standard and correct notations, symbols, and terminology
- ✓Define key terms accurately when introducing them
- ✓Choose representations such as diagrams, tables, formulae, or graphs when they clarify the mathematics
- ✓If technology is used, explain and label the mathematical output
- ✓Avoid common errors: rounding issues, unclear labels, misuse of terms
Personal Engagement
Evidence that the student has made the exploration their own through independent thinking, creative decisions, or a personal mathematical approach.
- ✓Make purposeful choices about the question, data, model, or method
- ✓Present mathematical ideas in your own terms
- ✓Explore a perspective, make and test predictions, or adapt an approach
- ✓Show independent or creative thinking in the work itself
- ✓Remember that engagement is judged from the exploration, not time or effort alone
Reflection
Critical review, analysis, and evaluation of the exploration showing learning journey and growth.
- ✓Critically examine results and discuss different approaches considered
- ✓Explain chosen methodology and significance of results
- ✓Link discussion back to initial goals - come full circle
- ✓Reflect on learning journey, challenges faced, and evolved understanding
- ✓Consider real-world applications and broader mathematical contexts
Use of Mathematics
Mathematics relevant to the topic, commensurate with course level, and demonstrating genuine understanding.
- ✓SL:Use relevant mathematics appropriate for the course level and show understanding
- ✓HL:Use correct mathematics with sophistication and rigour appropriate to HL
- ✓Use mathematics at appropriate difficulty level - don't overcomplicate needlessly
- ✓HL students must show deeper understanding and sophistication
- ✓Demonstrate understanding of technology tools being used
Common Mistakes to Avoid
Learn from others' errors to maximize your IA score
⚠️ Poorly Formulated Research Question
Clearly state the variables to be measured and mathematical analysis methods. Balance between too broad and too narrow.
⚠️ Vague Aim Statement
Avoid phrases like "relationship between them" or "building my understanding." Be specific about what you intend to achieve.
⚠️ Superficial Engagement
Don't rely on a statement of interest; make independent decisions and your own mathematical thinking visible in the exploration.
⚠️ Lack of Critical Reflection
Go beyond describing what you did. Analyze strengths, weaknesses, and alternative approaches throughout.
⚠️ Mathematical Errors
Watch for rounding errors, neglect of significant figures, and unclear graph labels. HL requires precision!
⚠️ Time Mismanagement
Remember: IA is 20% but exams are 80%. Don't spend excessive hours chasing one more mark on the IA.
Math IA is required for Mathematics Analysis and Approaches (HL and SL) and Mathematics Applications and Interpretation (HL and SL). Math IA accounts for 20% of the overall score. It is mandatory, meaning that students must submit the internal assessment to complete the subject requirements. The current guide describes an exploration of approximately 12–20 double-spaced pages, including diagrams and graphs but excluding the bibliography. This is guidance rather than a target: quality, relevance, and concise mathematical communication matter more than length.
It should be highlighted that the goal of IA is exploring ideas, not writing a formal research paper. The current IB guides recommend approximately 10–15 hours of teaching time, including time for explanation, class work, and consultation. Based on our experience, students should plan for around 20 hours or more of focused work to produce the desired results.
IB recommends that students find their own stimuli with the help of the teacher. However, teachers sometimes provide a list of stimuli from which the students choose the ones to which that they can relate.
In our experience students spend far more time than what is necessary and take too long to get started with an idea. Please note, the IA is 20% while the written exam is a larger 80% of the overall grade. Spending the extra hours on the IA to get another mark or two could be better spent on practicing exam questions on topics which you have covered off the syllabus.
Each exploration is assessed against five criteria as follows:
| Criterion A | Criterion B | Criterion C | Criterion D | Criterion E |
|---|---|---|---|---|
| Presentation | Mathematical communication | Personal Engagement | Reflection | Use of Mathematics |
| 4 | 4 | 3 | 3 | 6 |
The final IA mark is the sum of the whole-number marks awarded for each criterion. Examiners apply the published descriptors using best-fit judgment, so a top band does not necessarily mean the work must be completely faultless. Criterion E is worth six marks at both SL and HL, but its level-specific descriptors differ. Each criterion is assessed separately, and the maximum total at both levels is 20.
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CRITERION A: PRESENTATION (+4)
Criterion A assesses the organization and coherence of the exploration. A strong presentation identifies the aim and rationale, develops the investigation logically, and reaches a conclusion that is easy to follow.
This criterion is about writing a well-structured IA. In the introduction students should clearly state why they have chosen the subject, talk about the context of the exploration, and straightforwardly describe the project's aim. It should be concise and also easy to follow.
The paragraphs in the body of the report can be results followed by discussion or "results and discussion" as a whole. This section is the meat of the whole exploration.
Students should show all their work. They should include all the equations. The explanations should be concise, complete, and easy to follow. The number of data points should be enough for quantitative work. Data can be collected using research, observation, or survey. Data taken from other references should be cited. Any data that is not strictly necessary in the main text should be put in the appendix.
The conclusion brings everything from the whole IA back together in a condensed manner! Students should clearly explain how the processes connect to prove or reject the hypothesis. Was there something that could have been done differently to make the whole exploration better? Were the models used in the exploration reliable? Does the student have any recommendations for a possible future project? Students need to define a clear focus and/or question for their exploration.
CRITERION B: MATHEMATICAL COMMUNICATION (+4)
Criterion B rewards relevant and appropriate mathematical communication used consistently. Students should use standard notation, symbols, and terminology, define variables and unfamiliar terms, and choose representations that clarify the mathematics. A diagram, table, formula, model, or graph is useful when it serves the argument; the rubric does not require every representation or the use of technology.
Some of the common mistakes in this section include rounding errors, neglect of significant figures, not defining key terms, difficult-to-read charts and graphs, unclear labels on the axes of graphs, and the misuse of terms.
Enhancing Graphical Representation in Math IA:
1. Optimize space usage, scaling, and formatting for clarity. Be consistent in fonts, colors, and scale across similar graphs. 2. Craft descriptive titles and captions for each graph. Accurately label axes with units. 3. Display data accurately without distortions or misleading visuals. Prioritize aesthetics and accessibility. 4. Integrate graphs smoothly into textual analysis within the IA. Leverage graphing software appropriately.
Key Guidelines for Mathematical Communication in IB Math IA:
Format equations clearly and precisely using alignment, spacing, and standard mathematical conventions. Be consistent in notation and layout.
Ensure equations flow logically and support the mathematical argument made in the analysis. Define variables and terminology properly.
Use equation editors effectively to produce readable math expressions complementary to the discussion.
Reflect on formatting choices made to demonstrate consideration of quality presentation standards expected for Criterion B.
These practices support clear, coherent mathematical communication under Criterion B; the final mark still depends on how the complete exploration meets the published descriptors.
CRITERION C: PERSONAL ENGAGEMENT (+3)
What Personal Engagement Assesses:
Criterion C assesses how far the student has made the exploration their own. A sentence such as "I have always been interested in..." is not evidence by itself. What matters is visible independent or creative mathematical thinking in the exploration, not the amount of effort reported or whether the topic comes from a personal hobby.
Make Purposeful Mathematical Decisions:
Evidence can include choosing and refining a question, making decisions about data or a model, adapting a known method, and explaining mathematical ideas in the student's own way. Unfamiliar mathematics and a novel topic are not requirements; the decisions and explanations must suit the investigation.
Explore, Predict, and Test:
Other evidence may include looking at the problem from different perspectives, making and testing predictions, or deciding how to extend or revise an approach after seeing a result. These are examples rather than a checklist, and no single feature guarantees a particular mark.
Make the Evidence Visible:
The assessor can credit only engagement that is evident in the submitted work. Explain why important mathematical choices were made and how the investigation developed. A personal backstory may provide context, but it does not replace mathematical decision-making and analysis.
Common Topics Can Still Work:
Personal engagement can be shown with a familiar or unusual topic. A textbook-style reproduction that adds no student perspective is unlikely to reach the highest level, but a common starting point can support strong evidence when the student makes and explains meaningful choices.
Treat these examples as routes to evidence, not a formula. The final mark is based on the best-fit published descriptors applied to the completed exploration.
CRITERION D: REFLECTION (+3)
The examiner will assess how the student reviews, analyzes, and evaluates the exploration in the Reflection criterion. Reflection is essential and can be presented either in the conclusion section or woven throughout the investigation. Ideally, reflections should be interspersed throughout, with a strong emphasis in the conclusion to bring coherence and depth to the entire exploration.
Students are encouraged to critically examine their results. Discussing different approaches, explaining the chosen methodology, and exploring the significance of the results are crucial aspects. It's beneficial to also consider potential future work, delve into the strengths and weaknesses of the methods used, and link these discussions back to the initial goals of the investigation. This approach helps in coming full circle, showcasing a comprehensive understanding of the topic.
Reflection should also extend to the student's learning journey. It's important for students to demonstrate their engagement and the extent of their learning throughout the IA process. Reflecting on challenges faced, the evolution of understanding, and how the investigation influenced their perception of mathematical concepts adds a personal dimension to the IA.
Further, students should consider real-world applications or broader mathematical contexts in their reflection. This adds relevance and depth, showing an understanding that extends beyond the confines of the IA itself. A structured and organized reflection, presented in a thoughtful and introspective tone, can significantly enhance the overall quality of the IA.
In summary, a well-crafted reflection in the Math IA should be deep, critical, and self-aware, demonstrating a student's journey, learning, and growth. It should connect the mathematical investigation to broader contexts and personal insights, thereby exemplifying a high level of engagement with the subject matter.
In this criterion, the examiner considers the student's review, analysis, and evaluation of the exploration.
Reflection can be done in a conclusion section or spread throughout the investigation. If students want to limit it to the conclusion section, then a strong reflection is necessary. Having the reflection interspersed throughout the investigation while emphasizing it in the conclusion section is the best approach.
Students should not shy away from being critical of the results. They can talk about different approaches that they could have used and why they have chosen this specific one. They should talk about the significance of their results. They can talk about what can come later as future work; they should discuss their methods' strengths and weaknesses and link the whole thing to the goals of the exploration to come full circle!
They should show that they have engaged and learned quite a lot while doing this IA.
CRITERION E: USE OF MATHEMATICS (+6)
Even though both SL and HL students can be awarded a score of six for this criterion, the descriptors are different.
The mathematics should be relevant to the exploration and commensurate with the course level. Mathematics beyond the syllabus is not required; adding complexity without purpose can make the reasoning less relevant or harder to explain.
At both levels, the mathematics should be relevant and understood. The top HL descriptors additionally expect precision and sophistication appropriate to the higher-level course.
Using technology is recommended, but students should prove that they know what they are doing.
A strong response selects mathematics that fits the topic and course level, applies it correctly, and makes the student's understanding visible.
HL students should show a deeper level of understanding throughout the IA. It is recommended that the sophistication be in the HL syllabus, but if it is in the SL syllabus, it can still get a high score if the math is used in a sophisticated way that is beyond the level of an SL student.
We provide a range of services to support students in need of assistance with their IA. Our dedicated team offers IB Math tutoring specifically tailored to help students excel in their IA projects. In addition, we also offer comprehensive IA services aimed at guiding students through the entire process. Whether you need guidance on topic selection, research methodology, data analysis, or simply want feedback and suggestions for improvement, we are here to assist you. Furthermore, our IB tutors offer detailed information about all the services we provide, ensuring that you have access to the resources you need to succeed in your IA. We are committed to helping you achieve your goals and wish you the best of luck with your IA!
What are the common mistakes in formulating a research question and outlining the aim of the study?
When formulating a research question and outlining the aim of a study, there are several common mistakes that one should be aware of. These mistakes can hinder the clarity and focus of the research, potentially affecting the overall quality of the study. Here are some of the most frequent errors:
Poorly formulated research question: A common mistake is not having a well-crafted research question. A good research question should clearly state the variables that are going to be measured and the mathematical analysis that will be used in order to find the desired answers. It is important to strike the right balance between a question that is too broad and one that is too narrow. A clear and specific research question ensures that the study has a clear direction and purpose.
Lack of specificity in the aim: Another mistake is not outlining the aim of the study properly. The aim should succinctly communicate what the researcher intends to achieve and should serve as a roadmap for the study. It is essential to be specific and avoid including any unnecessary background information. Vague phrases such as "relationship between them" or "building my understanding" should be avoided as they do not convey a clear sense of purpose. The aim should clearly state what will be done, such as coding a simulation to demonstrate a concept or determining the correlation between two variables.
Additionally, it is important to note that when formulating the aim, it should provide a clear roadmap of what will be done. If there are multiple steps or actions involved, it is beneficial to outline them in the aim. For example, the researcher can start by stating what they plan to do and then explain what they will do next to achieve their goal.
In summary, the common mistakes in formulating a research question and outlining the aim of the study revolve around lacking specificity, clarity, and focus. A well-crafted research question should describe the variables to be measured and the mathematical analysis to be employed, while the aim should be specific and provide a clear roadmap of what will be done in the study. Avoiding unnecessary background information and being concise are crucial in avoiding these common mistakes.
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Frequently Asked Questions
Mastering the IB Math IA
Are any Math IA marks automatic?+
Where can I find good ideas for my Math IA topic?+
How do I show "Personal Engagement" if I'm not interested in Math?+
Can I get a 7 in IB Math if I get a bad score on my IA?+
What is the difference between SL and HL Math IA requirements?+
Does using complex math guarantee a higher score?+
Can I use data from the internet for my Math IA?+
Is it better to do a Statistics IA or Calculus/Modelling IA?+
Can I do a "Pure Math" IA (e.g., solving a proof)?+
Does the 12–20 page guidance include graphs and bibliography?+
Can I use the same topic for my Math IA and Physics IA?+
How much can a tutor help me with my IA?+
What software should I use for graphs and equations?+
What does "Reflection" (Criterion D) actually look like?+
How do I properly cite sources in a Math IA?+
Can I use AI tools for my Math IA?+
What happens if my math is "too simple"?+
My experiment failed and the data looks wrong. Is my IA ruined?+
I'm stuck on the "Rationale." What should I write?+
Can I change my topic if I've already started?+
Do I need to include my raw data?+
How important is the "Conclusion"?+
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