{"id":46032,"date":"2026-09-10T15:43:10","date_gmt":"2026-09-10T08:43:10","guid":{"rendered":"https:\/\/times.edu.vn\/?p=46032"},"modified":"2026-09-10T15:43:29","modified_gmt":"2026-09-10T08:43:29","slug":"ib-mathematics-ai-ia-rubric","status":"publish","type":"post","link":"https:\/\/times.edu.vn\/en\/ib\/ib-mathematics-ai-ia-rubric\/","title":{"rendered":"IB Mathematics AI IA rubric 2026: Understanding all five criteria and how to maximise each"},"content":{"rendered":"<p>The IB Mathematics AI IA rubric assesses the Mathematical Exploration across five criteria: Presentation, Mathematical Communication, Personal Engagement, Reflection, and Use of Mathematics. Together, these criteria evaluate not only whether the mathematics is correct, but also how clearly it is presented, how independently the student develops the investigation, and how critically the results are interpreted. The rubric is the same for SL and HL, although HL students are expected to demonstrate greater mathematical depth in Criterion E.<\/p>\n<p>This guide explains each IB Mathematics AI IA rubric criterion, how marks are awarded, and what stronger performance looks like in practice.<\/p>\n<h2>Overview of the IB Mathematics AI IA rubric: All five criteria at a glance<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/times.edu.vn\/wp-content\/uploads\/2026\/09\/IB-Mathematics-AI-IA-rubric.webp\" alt=\"IB Mathematics AI IA rubric\" width=\"1000\" height=\"667\" \/><\/p>\n<p>The <a href=\"https:\/\/times.edu.vn\/en\/ib\/ib-maths-ai\/\">IB Mathematics AI<\/a> <sup><a href=\"#tooltip-ref-1\" class=\"tooltip-link\" data-tooltip=\"https:\/\/ibo.org\/university-admission\/latest-curriculum-updates\/dp-mathematics-applications-and-interpretation-updates\/\">[1]<\/a><\/sup> IA rubric is identical for both Standard Level and Higher Level candidates. The difference between SL and HL does not lie in the rubric itself; it lies in the standard of mathematical depth the examiner expects to see when scoring Criterion E. Understanding this distinction early prevents a very costly mistake.<\/p>\n<p><strong>The five criteria and their marks per criterion in the IB Mathematics AI IA are as follows:<\/strong><\/p>\n<table>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">Criterion<\/th>\n<th colspan=\"1\" rowspan=\"1\">Focus Area<\/th>\n<th colspan=\"1\" rowspan=\"1\">Maximum Marks<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">A<\/td>\n<td colspan=\"1\" rowspan=\"1\">Presentation<\/td>\n<td colspan=\"1\" rowspan=\"1\">3<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">B<\/td>\n<td colspan=\"1\" rowspan=\"1\">Mathematical Communication<\/td>\n<td colspan=\"1\" rowspan=\"1\">3<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">C<\/td>\n<td colspan=\"1\" rowspan=\"1\">Personal Engagement<\/td>\n<td colspan=\"1\" rowspan=\"1\">3<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">D<\/td>\n<td colspan=\"1\" rowspan=\"1\">Reflection<\/td>\n<td colspan=\"1\" rowspan=\"1\">3<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">E<\/td>\n<td colspan=\"1\" rowspan=\"1\">Use of Mathematics<\/td>\n<td colspan=\"1\" rowspan=\"1\">6<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Total<\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<td colspan=\"1\" rowspan=\"1\">20<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>To achieve a Grade 7, most students need to land between 17 and 20 marks. That means you cannot afford to write off any single criterion as unimportant. Losing 2 marks on Criterion A and 2 marks on Criterion C alone puts a Grade 7 almost out of reach before the examiner has even read your mathematics.<\/p>\n<blockquote><p>Drawing on years of experience at <a href=\"https:\/\/times.edu.vn\/\">Times Edu<\/a> preparing students for IB examinations, the most consistent observation is this: Students who study the rubric in detail before writing a single word of their IA outperform students who treat the rubric as an afterthought. The rubric is not a grading checklist you consult at the end. It is your architectural blueprint from day one.<\/p><\/blockquote>\n\n\t<button class='btn-dang-ky' onclick=\"openPopup('popup1')\">\n\t\t<span class='text-effect-1'>\n\t\t\t<svg\n\t\t\t\txmlns='http:\/\/www.w3.org\/2000\/svg'\n\t\t\t\tviewBox='0 0 64 64'\n\t\t\t\twidth='24'\n\t\t\t\theight='24'\n\t\t\t\taria-label='Calendar icon'\n\t\t\t>\n\t\t\t\t<rect width='64' height='64' rx='6' fill='#caa15a'\/>\n\t\t\t\t<rect x='10' y='14' width='44' height='40' rx='4'\n\t\t\t\t\tfill='none' stroke='#ffffff' stroke-width='4'\/>\n\t\t\t\t<line x1='10' y1='24' x2='54' y2='24'\n\t\t\t\t\tstroke='#ffffff' stroke-width='4'\/>\n\t\t\t\t<line x1='22' y1='6' x2='22' y2='18'\n\t\t\t\t\tstroke='#ffffff' stroke-width='4' stroke-linecap='round'\/>\n\t\t\t\t<line x1='42' y1='6' x2='42' y2='18'\n\t\t\t\t\tstroke='#ffffff' stroke-width='4' stroke-linecap='round'\/>\n\t\t\t<\/svg>\n\t\t\tBook a Trial Class\n\t\t<\/span>\n\t<\/button>\n<p><strong style=\"color: #f00;\">&gt;&gt;&gt; Read more:<\/strong> <a class=\"xem-them-link\" href=\"https:\/\/times.edu.vn\/en\/ib\/ib-mathematics-ai-sl-exam-tips\/\">IB Mathematics AI SL exam tips<\/a> 2026: How to maximise your score on both papers<\/p>\n<h2>Criterion A: Presentation in the IB Mathematics AI IA rubric explained<\/h2>\n<p>Criterion A in the IB Mathematics AI IA rubric measures the overall organisation, coherence, and readability of your written report. It is worth 3 marks and is often the easiest criterion to score highly on, provided you treat your IA as a piece of technical writing rather than a collection of calculations.<\/p>\n<p><strong>What the top band requires:<\/strong> A score of 3 means the report reads as a coherent, unified piece of work. The argument flows logically from the introduction through to the conclusion. Every graph, table, and diagram appears immediately alongside the text that discusses it, not buried in an appendix or dropped in without explanation.<\/p>\n<p><strong>Page length and structure:<\/strong> Keep your IA between 12 and 20 pages. Going well beyond 20 pages usually signals repetition or poor editing, both of which the examiner will note. A clean, well-edited 14-page report scores higher than a sprawling 25-page document.<\/p>\n<p>One critical detail often overlooked is the placement of data tables. A common trap is pasting a full raw dataset into the body of the report. Instead, include a representative sample table in the text and move the complete dataset to a clearly labelled appendix. Appendix pages do not count toward the page limit.<\/p>\n<p><strong>The aim statement:<\/strong> Your IA must contain an explicit mathematical aim, phrased as a single, measurable research question, within the first two pages. An aim such as &#8220;I want to investigate statistics&#8221; scores nothing. An aim such as &#8220;To what extent can a logistic regression model predict the growth rate of a local invasive plant species based on temperature and rainfall data collected over six months?&#8221; Is specific, mathematical, and gives the examiner a clear lens through which to read the entire paper.<\/p>\n<p><strong style=\"color: #f00;\">&gt;&gt;&gt; Read more:<\/strong> <a class=\"xem-them-link\" href=\"https:\/\/times.edu.vn\/en\/ib\/ib-mathematics-ai-hl-exam-tips\/\">IB Mathematics AI HL exam tips<\/a> 2026: How to maximise your score across all three papers<\/p>\n<h2>Criterion B: Mathematical communication in the IB Mathematics AI IA rubric explained<\/h2>\n<p>Mathematical communication in the IB Mathematics AI IA rubric is distinct from mathematical content. Criterion B does not ask whether your mathematics is correct. It asks whether you have expressed your mathematics using appropriate notation, terminology, and formatting throughout the report.<\/p>\n<p><strong>What the top band requires:<\/strong> A score of 3 demands that notation is relevant, consistent, and appropriate for the entire paper. Every variable must be defined at the moment it first appears. Every graph must have a descriptive title, labelled axes, and explicit units where relevant.<\/p>\n<p><strong>The single most common notation error:<\/strong> Students frequently copy output directly from a GDC or spreadsheet and paste it into their report. This means the examiner sees expressions like y = 2.3*x^2 + 4E-03, which is calculator notation, not mathematical notation. Replace these with properly typeset expressions: Y = 2.3x\u00b2 + 0.004. Use software such as Microsoft Equation Editor, LaTeX, or the equation tools in Google Docs to typeset every formula cleanly.<\/p>\n<p>In our experience working with international students, Criterion B is the one where small habits create large mark differences. Students who define variables systematically, use consistent subscript notation, and typeset their regression equations properly almost always earn the full 3 marks. Those who draft their IA in a plain text document and never return to clean up their notation almost always drop to 1 or 2.<\/p>\n<blockquote><p>A practical rule: After completing a full draft, read through the entire paper and highlight every mathematical expression. Then verify each one against the standard IB notation guide. This single editing pass can recover a full mark on Criterion B alone.<\/p><\/blockquote>\n\n\t<button class='btn-dang-ky' onclick=\"openPopup('popup1')\">\n\t\t<span class='text-effect-1'>\n\t\t\t<svg\n\t\t\t\txmlns='http:\/\/www.w3.org\/2000\/svg'\n\t\t\t\tviewBox='0 0 64 64'\n\t\t\t\twidth='24'\n\t\t\t\theight='24'\n\t\t\t\taria-label='Calendar icon'\n\t\t\t>\n\t\t\t\t<rect width='64' height='64' rx='6' fill='#caa15a'\/>\n\t\t\t\t<rect x='10' y='14' width='44' height='40' rx='4'\n\t\t\t\t\tfill='none' stroke='#ffffff' stroke-width='4'\/>\n\t\t\t\t<line x1='10' y1='24' x2='54' y2='24'\n\t\t\t\t\tstroke='#ffffff' stroke-width='4'\/>\n\t\t\t\t<line x1='22' y1='6' x2='22' y2='18'\n\t\t\t\t\tstroke='#ffffff' stroke-width='4' stroke-linecap='round'\/>\n\t\t\t\t<line x1='42' y1='6' x2='42' y2='18'\n\t\t\t\t\tstroke='#ffffff' stroke-width='4' stroke-linecap='round'\/>\n\t\t\t<\/svg>\n\t\t\tBook a Trial Class\n\t\t<\/span>\n\t<\/button>\n<p><strong style=\"color: #f00;\">&gt;&gt;&gt; Read more:<\/strong> <a class=\"xem-them-link\" href=\"https:\/\/times.edu.vn\/en\/ib\/ib-mathematics-ai-hl-vs-sl\/\">IB Mathematics AI HL vs SL<\/a> 2026: How to choose the right level for you<\/p>\n<h2>Criterion C: Personal engagement in the IB Mathematics AI IA rubric explained<\/h2>\n<p>Personal engagement is the criterion that most directly separates a generic IA from a genuinely compelling one. The IB Mathematics AI IA rubric defines personal engagement as the degree to which a student makes the exploration their own and demonstrates authentic intellectual curiosity.<\/p>\n<p><strong>What the top band requires:<\/strong> A score of 3 means there is outstanding evidence that the student has gone beyond the standard textbook treatment of a topic. This does not require exotic mathematics. It requires a genuine connection to the topic and evidence of independent thinking during the investigation itself.<\/p>\n<p><strong>What personal engagement is not:<\/strong> Choosing a topic you find vaguely interesting is not personal engagement. Writing a sentence in the introduction explaining why you like basketball is not personal engagement. Personal engagement shows up in how you respond to what your data actually tells you. If your regression model does not fit as well as expected, a personally engaged student asks why and investigates further. A student who ignores the anomaly scores in the lower band.<\/p>\n<p>A common mistake we see is students selecting topics from a generic list circulated online, topics such as modelling the spread of a disease using a standard SIR model without modification, or performing a basic chi-squared test on survey data with no original data collection. These IA topics are not disqualifying on their own, but they make it structurally difficult to demonstrate the independent thinking the rubric demands.<\/p>\n<blockquote><p>The Grade 7 approach to Criterion C involves two specific moves. First, collect or curate your own data rather than relying entirely on a publicly available dataset. Second, at every major analytical stage, explain what you expected to find and how the actual result compares. That intellectual conversation between your prediction and your finding is what the examiner is looking for.<\/p><\/blockquote>\n<p><strong style=\"color: #f00;\">&gt;&gt;&gt; Read more:<\/strong> <a class=\"xem-them-link\" href=\"https:\/\/times.edu.vn\/en\/ib\/ib-mathematics-ai-grade-boundaries\/\">IB Mathematics AI grade boundaries<\/a> 2026: How they work and what they mean for you<\/p>\n<h2>Criterion D: Reflection in the IB Mathematics AI IA rubric explained<\/h2>\n<p>Reflection in the IB Mathematics AI IA rubric is not a concluding paragraph. That is perhaps the single most damaging misconception surrounding this criterion. Students who save all their reflection for a two-paragraph conclusion will almost always score 1 out of 3, regardless of how thoughtful those two paragraphs are.<\/p>\n<p><strong>What the top band requires:<\/strong> A score of 3 means reflection is meaningful, critical, and present throughout the paper. After each major mathematical procedure, the student should briefly address what the result means in context, whether the method has limitations, and how those limitations affect the reliability of the conclusion.<\/p>\n<p><strong>What meaningful reflection actually looks like:<\/strong> Suppose you have run a linear regression to model a relationship between two variables. Meaningful reflection does not simply state that the R\u00b2 value is 0.87 and therefore the fit is strong. Meaningful reflection asks: What does it mean that 13% of the variance is unexplained? Are there confounding variables you did not account for? Is extrapolation beyond the observed data range justified? Would a non-linear model fit the data better, and can you test that hypothesis?<\/p>\n<p>One critical detail often overlooked is the relationship between Criterion D and Criterion E. Students who demonstrate strong reflection on the limitations of their mathematical model often receive credit under both criteria simultaneously. Discussing why a particular regression model breaks down at extreme values shows both mathematical understanding and critical self-evaluation.<\/p>\n<blockquote><p>Drawing on years of experience at Times Edu, the most effective structural approach is to treat reflection as a running commentary. After each calculation block, include a short paragraph of two to three sentences that evaluates what you just computed. Then write a final, more comprehensive reflection section that ties these individual observations together into a coherent evaluation of the entire investigation.<\/p><\/blockquote>\n\n\t<button class='btn-dang-ky' onclick=\"openPopup('popup1')\">\n\t\t<span class='text-effect-1'>\n\t\t\t<svg\n\t\t\t\txmlns='http:\/\/www.w3.org\/2000\/svg'\n\t\t\t\tviewBox='0 0 64 64'\n\t\t\t\twidth='24'\n\t\t\t\theight='24'\n\t\t\t\taria-label='Calendar icon'\n\t\t\t>\n\t\t\t\t<rect width='64' height='64' rx='6' fill='#caa15a'\/>\n\t\t\t\t<rect x='10' y='14' width='44' height='40' rx='4'\n\t\t\t\t\tfill='none' stroke='#ffffff' stroke-width='4'\/>\n\t\t\t\t<line x1='10' y1='24' x2='54' y2='24'\n\t\t\t\t\tstroke='#ffffff' stroke-width='4'\/>\n\t\t\t\t<line x1='22' y1='6' x2='22' y2='18'\n\t\t\t\t\tstroke='#ffffff' stroke-width='4' stroke-linecap='round'\/>\n\t\t\t\t<line x1='42' y1='6' x2='42' y2='18'\n\t\t\t\t\tstroke='#ffffff' stroke-width='4' stroke-linecap='round'\/>\n\t\t\t<\/svg>\n\t\t\tBook a Trial Class\n\t\t<\/span>\n\t<\/button>\n<p><strong style=\"color: #f00;\">&gt;&gt;&gt; Read more:<\/strong> <a class=\"xem-them-link\" href=\"https:\/\/times.edu.vn\/en\/ib\/ib-mathematics-ai-mark-scheme\/\">IB Mathematics AI mark scheme<\/a> 2026: How to read and use it to raise your grade<\/p>\n<h2>Criterion E: Use of mathematics in the IB Mathematics AI IA rubric explained<\/h2>\n<p>Criterion E is the most heavily weighted element of the IB Mathematics AI IA rubric, carrying 6 of the available 20 marks. It assesses the correctness, sophistication, and appropriateness of the mathematics applied in the exploration.<\/p>\n<p><strong>What the top band requires:<\/strong> A score of 5 to 6 means the mathematics used is entirely correct, is commensurate with the level of the course (or goes beyond it), and demonstrates a thorough understanding. The student does not simply apply a formula; they demonstrate they understand why that formula is appropriate and what its outputs mean.<\/p>\n<p><strong>The SL threshold:<\/strong> At Standard Level, the use of mathematics criterion demands that students confidently apply concepts from across the SL syllabus. A 2&#215;2 chi-squared test of independence performed on a small dataset, with no further analytical development, is rarely sufficient for the top band. Stronger SL submissions typically combine two or more statistical or mathematical tools, for example, using a non-linear regression model and then applying calculus concepts to analyse the model&#8217;s behaviour.<\/p>\n<p><strong>The HL threshold:<\/strong> At Higher Level, the expectation is considerably more demanding. HL students should draw from HL-exclusive content to demonstrate genuine mathematical depth. Topics that consistently support top-band Criterion E scores at HL include Markov chains, matrix operations for modelling, ANOVA for comparing multiple data groups, and numerical methods such as Euler&#8217;s method applied to differential equation systems.<\/p>\n<p>A common mistake we see at both levels is students applying advanced techniques superficially. Dropping a Markov chain calculation into an HL IA without explaining the transition matrix, the steady-state interpretation, or the real-world meaning of the eigenvalue analysis will not impress an examiner. The mathematics must be applied with evident understanding, not deployed as a decoration.<\/p>\n<p>The table below summarises what constitutes appropriate mathematical depth at each level:<\/p>\n<table>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">Level<\/th>\n<th colspan=\"1\" rowspan=\"1\">Minimum Expected Depth<\/th>\n<th colspan=\"1\" rowspan=\"1\">Example Techniques<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">SL<\/td>\n<td colspan=\"1\" rowspan=\"1\">Two or more connected SL tools applied correctly<\/td>\n<td colspan=\"1\" rowspan=\"1\">Non-linear regression + optimisation using calculus<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">SL (top band)<\/td>\n<td colspan=\"1\" rowspan=\"1\">Confident use of syllabus content with extensions<\/td>\n<td colspan=\"1\" rowspan=\"1\">Chi-squared + residual analysis + confidence intervals<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">HL<\/td>\n<td colspan=\"1\" rowspan=\"1\">HL-exclusive content applied with understanding<\/td>\n<td colspan=\"1\" rowspan=\"1\">Markov chains, ANOVA, matrix modelling<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">HL (top band)<\/td>\n<td colspan=\"1\" rowspan=\"1\">Algebraic or statistical sophistication beyond standard treatment<\/td>\n<td colspan=\"1\" rowspan=\"1\">Coupled differential equations via Euler&#8217;s method<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong style=\"color: #f00;\">&gt;&gt;&gt; Read more:<\/strong> <a class=\"xem-them-link\" href=\"https:\/\/times.edu.vn\/en\/ib\/ib-mathematics-ai-past-papers\/\">IB Mathematics AI past papers<\/a> 2026: The complete guide to finding and using them<\/p>\n<h2>How IB Mathematics AI IA rubric marks are moderated by the IBO<\/h2>\n<p>After your teacher marks your IA against the IB Mathematics AI IA rubric, those marks are submitted to the IBO along with a sample of student work. The IBO then conducts external moderation, a process where trained IB examiners independently apply the same rubric to the sample and compare their scores against your teacher&#8217;s marks.<\/p>\n<p>If the examiner finds a systematic difference, for example, if your teacher has marked consistently 2 marks higher than the IBO examiner across multiple criteria, the IBO adjusts the marks of all students in your school accordingly. This is called a moderation adjustment, and it can move marks either upward or downward.<\/p>\n<p>One critical implication of IBO moderation is that your teacher&#8217;s mark is not guaranteed to be your final mark. Schools where teachers consistently apply the rubric generously tend to see downward moderation. Schools where teachers apply the rubric conservatively sometimes see upward adjustments. As a student, you cannot control your school&#8217;s moderation history, but you can protect your score by ensuring your IA meets the rubric descriptors so clearly that there is no room for interpretive disagreement.<\/p>\n<p>In our experience working with international students, those who submit IA drafts for independent review by a qualified <a href=\"https:\/\/times.edu.vn\/en\/ib\/ib-tutor\/\">IB tutor<\/a> before the final submission deadline consistently perform better under moderation. An external reviewer applies the rubric without the familiarity bias that sometimes affects classroom teachers, and this gives a far more accurate prediction of the moderated score.<\/p>\n<p>The IBO also flags IA work that appears suspiciously polished or that contains sections not in the student&#8217;s typical writing voice. Authenticity of authorship is part of the moderation process. Your IA should read like a well-organised, intellectually engaged student report, not like a professional research paper.<\/p>\n<p><strong style=\"color: #f00;\">&gt;&gt;&gt; Read more:<\/strong> <a class=\"xem-them-link\" href=\"https:\/\/times.edu.vn\/en\/ib\/ib-mathematics-ai-revision-guide\/\">IB Mathematics AI revision guide<\/a> 2026: The complete resource for every student<\/p>\n<h2>Frequently asked questions<\/h2>\n<p><strong>What are the five criteria in the IB Mathematics AI IA rubric?<\/strong><\/p>\n<p>The five criteria are Criterion A (Presentation), Criterion B (Mathematical Communication), Criterion C (Personal Engagement), Criterion D (Reflection), and Criterion E (Use of Mathematics). Together they sum to 20 marks.<\/p>\n<p><strong>How many marks is each criterion worth in the IB Mathematics AI IA?<\/strong><\/p>\n<p>Criteria A, B, C, and D are each worth 3 marks. Criterion E is worth 6 marks. The total available score is 20 marks.<\/p>\n<p><strong>What does the IBO mean by personal engagement in the IB Mathematics AI IA rubric?<\/strong><\/p>\n<p>Personal engagement refers to the degree to which a student demonstrates genuine intellectual curiosity and independent thinking throughout the exploration. It is not simply about choosing a personally interesting topic; it is about how a student responds to unexpected findings, asks follow-up questions, and makes creative or original analytical decisions during the investigation.<\/p>\n<p><strong>What is the difference between mathematical communication and use of mathematics in the IB AI IA rubric?<\/strong><\/p>\n<p>Mathematical communication (Criterion B) assesses how you express your mathematics: Notation, labelling, consistency, and formatting. Use of mathematics (Criterion E) assesses what mathematics you apply and how correctly and deeply you apply it. A student can use sophisticated mathematics incorrectly and still score highly on Criterion B if the notation is clean and consistent, though they would score poorly on Criterion E.<\/p>\n<p><strong>How is reflection assessed in the IB Mathematics AI IA?<\/strong><\/p>\n<p>Reflection is assessed on how critically and meaningfully a student evaluates their methods, results, and limitations. Top-band reflection appears throughout the paper, not only in a concluding section, and addresses the real-world implications of mathematical findings as well as the weaknesses of the chosen approaches.<\/p>\n<p><strong>What does a top-scoring IB Mathematics AI IA look like under each rubric criterion?<\/strong><\/p>\n<p>A top-scoring IA is coherent and concise (Criterion A), uses consistent and properly typeset notation throughout (Criterion B), demonstrates clear intellectual ownership of the investigation with responses to unexpected findings (Criterion C), contains critical evaluative commentary after each major mathematical milestone (Criterion D), and applies correct, course-level mathematics with demonstrated understanding rather than formulaic application (Criterion E).<\/p>\n<p><strong>How does the IBO moderate IB Mathematics AI IA marks submitted by schools?<\/strong><\/p>\n<p>The IBO selects a sample of marked student work from each school and has trained examiners independently score that sample. If there is a consistent gap between the teacher&#8217;s scores and the examiner&#8217;s scores, the IBO applies a moderation adjustment to all student marks in that school. The adjustment can be positive or negative depending on the direction of the discrepancy.<\/p>\n<p><strong>Conclusion<\/strong><\/p>\n<p>At Times Edu, our 1-on-1 tutoring approach means every student receives targeted feedback on each criterion before submitting a final draft. If you are working on your IB Mathematics AI IA and want an experienced consultant to review your topic selection, aim statement, or full draft against the official rubric, we invite you to book a personalised academic roadmap consultation. A single structured session can identify exactly where your marks are at risk and how to recover them before the submission deadline.<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-right kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;right&quot;,&quot;id&quot;:&quot;46032&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;bottom&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;\u0110\u00e1nh gi\u00e1 b\u00e0i vi\u1ebft&quot;,&quot;legend&quot;:&quot;0\\\/5 - (0 votes)&quot;,&quot;size&quot;:&quot;24&quot;,&quot;title&quot;:&quot;IB Mathematics AI IA rubric 2026: Understanding all five criteria and how to maximise each&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} - ({count} {votes})&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n    <\/div>\n    \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 19.2px;\">\n            <span class=\"kksr-muted\">\u0110\u00e1nh gi\u00e1 b\u00e0i vi\u1ebft<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p>The IB Mathematics AI IA rubric assesses the Mathematical Exploration across five criteria: Presentation, Mathematical Communication, Personal Engagement, Reflection, and Use of Mathematics. Together, these criteria evaluate not only whether the mathematics is correct, but also how clearly it is presented, how independently the student develops the investigation, and how critically the results are interpreted. &#8230; <a title=\"IB Mathematics AI IA rubric 2026: Understanding all five criteria and how to maximise each\" class=\"read-more\" href=\"https:\/\/times.edu.vn\/en\/ib\/ib-mathematics-ai-ia-rubric\/\" aria-label=\"Read more about IB Mathematics AI IA rubric 2026: Understanding all five criteria and how to maximise each\">Read more<\/a><\/p>\n","protected":false},"author":10,"featured_media":45939,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","rank_math_title":"","rank_math_description":"","footnotes":""},"categories":[170],"tags":[],"class_list":["post-46032","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ib"],"_links":{"self":[{"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/posts\/46032","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/comments?post=46032"}],"version-history":[{"count":3,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/posts\/46032\/revisions"}],"predecessor-version":[{"id":46084,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/posts\/46032\/revisions\/46084"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/media\/45939"}],"wp:attachment":[{"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/media?parent=46032"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/categories?post=46032"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/tags?post=46032"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}