{"id":46024,"date":"2026-09-10T15:18:20","date_gmt":"2026-09-10T08:18:20","guid":{"rendered":"https:\/\/times.edu.vn\/?p=46024"},"modified":"2026-09-10T15:18:42","modified_gmt":"2026-09-10T08:18:42","slug":"ib-mathematics-ai-ia","status":"publish","type":"post","link":"https:\/\/times.edu.vn\/en\/ib\/ib-mathematics-ai-ia\/","title":{"rendered":"IB Mathematics AI IA 2026: The complete guide to the exploration internal assessment"},"content":{"rendered":"<p>The IB Mathematics AI IA, officially called the Mathematical Exploration, is an independent investigation in which students apply mathematics to a focused real-world question of their own choice. It contributes 20% of the final grade at both SL and HL and is assessed through presentation, mathematical communication, personal engagement, reflection, and use of mathematics. A strong exploration requires reliable data, appropriate mathematical depth, clear interpretation, and reflection throughout the investigation rather than only in the conclusion.<\/p>\n<p>This guide explains how the IB Mathematics AI IA is assessed, how to choose and structure a suitable topic, and the common mistakes students should avoid.<\/p>\n<h2>What is the IB Mathematics AI internal assessment exploration and how is it assessed?<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/times.edu.vn\/wp-content\/uploads\/2026\/09\/IB-Mathematics-AI-IA.webp\" alt=\"IB Mathematics AI IA\" 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> exploration is an independently written mathematical investigation that forms the Internal Assessment component of the Mathematics: Applications and Interpretation course. The IBO refers to it officially as the Mathematical Exploration.<\/p>\n<p>Unlike written exam papers, the exploration asks students to choose their own real-world topic, collect or source relevant data, apply appropriate mathematical tools, and draw meaningful conclusions. It reads more like a structured analytical report than a traditional homework assignment, and it is assessed by the student&#8217;s own teacher before a sample is sent to an IB examiner for moderation.<\/p>\n<blockquote><p>The IB Mathematics AI IA assessment is designed to measure whether a student can use mathematics purposefully in a context that is personally meaningful to them. This is what separates it from a standard test: The student defines the question, the data, the methods, and the interpretation.<\/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-exam-technique\/\">IB Mathematics AI exam technique<\/a> 2026: The complete guide to scoring higher<\/p>\n<h2>How much is the IB Mathematics AI IA worth in the final grade?<\/h2>\n<p>The IA grade contribution for IB AI is 20% of the total final grade in Mathematics: Applications and Interpretation. This applies to both Standard Level (SL) and Higher Level (HL) students.<\/p>\n<p>The exploration is graded out of 20 marks, and those marks are then scaled into the final subject grade alongside the written examination papers. Because the exam papers account for the remaining 80%, a well-executed IA effectively provides a stable, high-scoring foundation that reduces the pressure on exam performance.<\/p>\n<p>In our experience working with international students, many underestimate this 20% contribution at the start of the course, then scramble to improve it too late. A student who earns close to full marks on their IA enters the final exam with a meaningful cushion. That cushion can be the difference between a grade 6 and a grade 7.<\/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-common-mistakes\/\">IB Mathematics AI common mistakes<\/a> 2026: The errors that cost students the most marks<\/p>\n<h2>The five assessment criteria for the IB Mathematics AI IA explained<\/h2>\n<p>Both SL and HL IB Maths AI IA students are assessed against five criteria, totalling 20 marks. HL students face higher expectations in terms of mathematical sophistication, but the criteria structure itself is identical.<\/p>\n<table>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">Criterion<\/th>\n<th colspan=\"1\" rowspan=\"1\">What It Assesses<\/th>\n<th colspan=\"1\" rowspan=\"1\">Marks Available<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">A: Presentation<\/td>\n<td colspan=\"1\" rowspan=\"1\">Organisation, structure, layout, and readability of the exploration<\/td>\n<td colspan=\"1\" rowspan=\"1\">\/3<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">B: Mathematical communication<\/td>\n<td colspan=\"1\" rowspan=\"1\">Proper use of notation, symbols, graphs, and mathematical language<\/td>\n<td colspan=\"1\" rowspan=\"1\">\/3<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">C: Personal engagement<\/td>\n<td colspan=\"1\" rowspan=\"1\">Originality, creative thinking, and authentic investment in the topic<\/td>\n<td colspan=\"1\" rowspan=\"1\">\/3<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">D: Reflection<\/td>\n<td colspan=\"1\" rowspan=\"1\">Quality of review, evaluation of limitations, and real-world interpretation<\/td>\n<td colspan=\"1\" rowspan=\"1\">\/3<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">E: Use of mathematics<\/td>\n<td colspan=\"1\" rowspan=\"1\">Accuracy, depth, and appropriateness of the mathematics applied<\/td>\n<td colspan=\"1\" rowspan=\"1\">\/6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Criterion E carries double the marks of any other criterion, which tells you a great deal about IB priorities. A beautifully presented paper with shallow mathematics will not score well. The IA criteria for IB Maths AI reward genuine mathematical thinking above aesthetics.<\/p>\n<p><strong>Criterion A: Presentation<\/strong> requires the paper to be logically organised, clearly sectioned, and easy to follow. Graphs, tables, and equations should be integrated into the text, not dumped in as appendices without explanation.<\/p>\n<p><strong>Criterion B: Mathematical communication<\/strong> is where students often lose marks silently. Writing &#8220;x^2&#8221; instead of x\u00b2, using asterisks for multiplication, or pasting raw GDC output without proper formatting all signal poor mathematical literacy to a moderator. Every symbol, every equation, every graph must be presented with precision.<\/p>\n<p><strong>Criterion C: Personal engagement in IB AI IA<\/strong> is not about writing &#8220;I found this interesting.&#8221; It is demonstrated through choices: Why this specific dataset, why this particular model, what personal lens is being applied to interpret the results. A student who sources original primary data, identifies unexpected patterns, and follows up with a secondary analysis they were not asked to do is demonstrating genuine personal engagement.<\/p>\n<p><strong>Criterion D: Reflection<\/strong> must appear throughout the paper, not only in the conclusion. After each major calculation, the student should briefly consider what the result means, whether it is reasonable, and what its limitations are. Saving all reflection for the final section is one of the most common patterns we see in underperforming IAs.<\/p>\n<p><strong>Criterion E: Use of mathematics<\/strong> is where HL and SL diverge most clearly. SL students must use mathematics that is relevant to the SL syllabus and apply it correctly. HL students are expected to demonstrate sophistication, which may mean using HL-exclusive tools such as hypothesis testing with ANOVA, complex regression analysis, or calculus-based optimisation within a genuine modeling context.<\/p>\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-command-terms\/\">IB Mathematics AI command terms<\/a> 2026: What they mean and how to respond correctly<\/p>\n<h2>How to choose a topic with a real-world context for your IB Mathematics AI IA<\/h2>\n<p>The IBO exploration for AI Mathematics is built around real-world application. Topic choice is therefore the most strategically important decision a student makes during the IA process. A weak topic cannot be rescued by strong mathematics, and a strong topic will not compensate for shallow analysis.<\/p>\n<p>One critical detail often overlooked is that the topic must be genuinely researchable with accessible, reliable data. A student passionate about climate change who chooses sea-level rise over 200 years may struggle to source consistent, unit-standardised raw data. A student who investigates monthly temperature variation in their home city against a chosen variable has a manageable, concrete dataset they can actually work with.<\/p>\n<p>Good topic categories for IB Mathematics AI IA work, organised by mathematical track:<\/p>\n<p><strong>Statistics and Probability track:<\/strong><\/p>\n<ul>\n<li>Relationship between sleep duration and academic performance (primary survey data)<\/li>\n<li>Correlation between social media usage and anxiety scores<\/li>\n<li>Modelling the spread of a local sports club&#8217;s results over a season<\/li>\n<li>Analysing traffic accident frequency against weather variables<\/li>\n<\/ul>\n<p><strong>Functions and Modelling track:<\/strong><\/p>\n<ul>\n<li>Modelling the population growth of a city using logistic functions<\/li>\n<li>Optimising packaging design using surface area and volume relationships<\/li>\n<li>Investigating the trajectory of a ball sport using quadratic or projectile models<\/li>\n<li>Fitting a sinusoidal model to tidal patterns or temperature cycles<\/li>\n<\/ul>\n<p>When selecting a topic, ask three practical questions. First, does this topic generate numerical data that can be collected or sourced reliably? Second, does it allow at least two or three distinct mathematical processes to be applied? Third, is there a genuine personal reason for choosing it that can be articulated clearly without sounding generic?<\/p>\n<p>Real world data in IB AI IA is not optional. The course is called Applications and Interpretation for a reason. The mathematics must connect to something tangible, measurable, and contextually meaningful.<\/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-books\/\">IB books<\/a> 2026: The complete guide to study materials for the IB Diploma<\/p>\n<h2>How to structure and write your IB Mathematics AI IA from start to finish<\/h2>\n<p>The IB AI IA page count should fall between 12 and 20 pages. This includes all graphs, tables, and calculations but excludes the bibliography and any raw data appendices. A paper below 12 pages almost certainly lacks sufficient depth. A paper above 20 pages often indicates poor editing and unclear focus.<\/p>\n<p>The exploration structure for IB AI should follow a logical progression that mirrors a scientific research report:<\/p>\n<h3>Section 1: Introduction and rationale (approximately 1 to 2 pages)<\/h3>\n<p>State the topic clearly and explain why it was chosen. The personal connection must be specific. Rather than writing &#8220;I chose this because I am interested in the environment,&#8221; a student should write: &#8220;Having lived in a coastal city for three years, I wanted to investigate whether annual rainfall in my region correlates with recorded flood frequency between 2010 and 2023.&#8221;<\/p>\n<p>The aim of the investigation should be stated as a precise, singular research question. Vague aims lead to unfocused mathematics and weak reflection.<\/p>\n<h3>Section 2: Context and data collection (approximately 2 to 3 pages)<\/h3>\n<p>Identify the data source clearly. If secondary data is used, provide the URL, the date accessed, and a brief evaluation of the source&#8217;s reliability. If primary data is collected via a survey or experiment, explain the sampling method, the sample size, and any known biases.<\/p>\n<p>Present raw data in clean, well-labelled tables with appropriate headings and units. Do not paste in raw spreadsheet screenshots. Recreate the table using a word processor or spreadsheet tool set to publication quality.<\/p>\n<h3>Section 3: Mathematical processes (approximately 5 to 8 pages)<\/h3>\n<p>This is the analytical core of the paper. For students following the statistics track, a high-scoring sequence might look like this:<\/p>\n<ul>\n<li>Clean and filter the dataset, removing outliers with justification<\/li>\n<li>Plot a scatter diagram with appropriate axis labels<\/li>\n<li>Calculate Pearson&#8217;s correlation coefficient (r) and interpret its meaning<\/li>\n<li>Fit a linear or non-linear regression model and test its appropriateness<\/li>\n<li>Conduct a formal hypothesis test (chi-squared, t-test, or ANOVA for HL students)<\/li>\n<li>Interpret p-values in the context of the research question<\/li>\n<\/ul>\n<p>For students following the modelling track, the sequence might involve plotting data points that suggest a particular curve type, testing quadratic or exponential or sinusoidal functions for fit, evaluating goodness of fit, and using derivatives to find optimum points or integrals to calculate accumulated quantities.<\/p>\n<p>After each major calculation, pause and explain the result in plain language. What does an r value of 0.74 mean for this specific dataset? Does the regression model make physical sense across the entire domain?<\/p>\n<h3>Section 4: Evaluation and conclusion (approximately 2 to 3 pages)<\/h3>\n<p>Return directly to the aim stated in the introduction and answer it clearly using the mathematical evidence generated in Section 3. Do not introduce new mathematics here.<\/p>\n<p>Identify at least three genuine limitations: One related to the data (sample size, source reliability, potential confounding variables), one related to the mathematical model (assumptions made, domain restrictions), and one related to methodology (how the data was collected or processed). Then suggest realistic improvements, not vague generalisations.<\/p>\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-maths-ai\/\">IB Maths AI<\/a>: Syllabus, Exam Structure &amp; Roadmap to an 7 in 2026<\/p>\n<h2>Common mistakes students make in the IB Mathematics AI IA and how to avoid them<\/h2>\n<p>A common mistake we see at <a href=\"https:\/\/times.edu.vn\/\">Times Edu<\/a> is students treating the IA as a statistics exercise rather than an investigation. Performing a single linear regression and a basic correlation test, then writing two paragraphs of reflection, will not earn strong marks in Criterion E. The mathematics must have depth, and depth means going further than the obvious first step.<\/p>\n<p><strong>Mistake 1: Choosing mathematics that is too simple<\/strong><\/p>\n<p>Applying only a chi-squared test of independence to a 2&#215;2 contingency table is the minimum, not the goal. If a student uses basic statistical tests, they must extend the investigation by testing a second variable, comparing subgroups, or fitting a mathematical model to the distribution. Depth comes from building on findings, not just reporting them.<\/p>\n<p><strong>Mistake 2: Using calculator screenshots or phone photos<\/strong><\/p>\n<p>This is a presentation error that costs marks in both Criterion A and Criterion B. Every graph must be cleanly produced in software such as Desmos, GeoGebra, Excel, or a Python plotting library. Every equation must be typeset properly. A GDC screen photograph communicates to the moderator that the student does not know how to present mathematics professionally.<\/p>\n<p><strong>Mistake 3: Saving all reflection for the final section<\/strong><\/p>\n<p>Reflection in IB AI IA must be woven into the body of the paper. Each time a result is obtained, the student should ask: Is this reasonable? What does this tell me about my research question? What are the assumptions behind this method, and are they valid here? Moderators look for evidence of mathematical thinking throughout the paper, not just in the conclusion.<\/p>\n<p><strong>Mistake 4: A vague or overly broad research question<\/strong><\/p>\n<p>&#8220;Investigating climate change using statistics&#8221; is not a research question. &#8220;Determining whether there is a statistically significant linear correlation between average monthly temperature in Sydney and monthly electricity consumption from 2015 to 2022&#8221; is a research question. Specificity is what makes the aim achievable and measurable.<\/p>\n<p><strong>Mistake 5: Ignoring personal engagement until the last moment<\/strong><\/p>\n<p>Personal engagement in IB AI IA is not a box to tick in the introduction. It is a quality that runs through the paper: The choice of dataset, the decision to investigate an anomaly, the follow-up question that was not required but was pursued anyway. Students who plan for personal engagement from the first draft consistently score higher on Criterion C.<\/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-math-ai-hl-statistics-modelling\/\">IB Math AI HL Statistics Modelling<\/a>: 5-Step Framework for Paper 3 Score 7<\/p>\n<h2>Frequently asked questions<\/h2>\n<p><strong>What is the IB Mathematics AI exploration and what should it contain?<\/strong><\/p>\n<p>The IB Mathematics AI exploration is an independently written report in which the student applies mathematical tools to a real-world topic of their choice. It should contain an introduction with a clear aim, a data collection and context section, a body section with all mathematical processes and analysis, and a conclusion with evaluation of results and limitations.<\/p>\n<p><strong>How many pages should the IB Mathematics AI IA be?<\/strong><\/p>\n<p>The IB AI IA page count should be between 12 and 20 pages. This includes all graphs, tables, equations, and diagrams within the body of the report. The bibliography and raw data appendices are excluded from this count. Going above 20 pages does not earn additional marks and may suggest poor focus.<\/p>\n<p><strong>How much of the final IB Mathematics AI grade does the IA contribute?<\/strong><\/p>\n<p>The IA grade contribution in IB AI is 20% of the total final grade. The remaining 80% comes from written examination papers (Paper 1, Paper 2, and Paper 3 for HL students). A high IA score significantly reduces the performance required in the exam papers to achieve a grade 7.<\/p>\n<p><strong>What are the five criteria used to assess the IB Mathematics AI IA?<\/strong><\/p>\n<p>The five IA criteria for IB Maths AI are: Presentation (3 marks), Mathematical Communication (3 marks), Personal Engagement (3 marks), Reflection (3 marks), and Use of Mathematics (6 marks). The total is 20 marks. Criterion E carries the most weight and requires accuracy, depth, and appropriate application of mathematics.<\/p>\n<p><strong>When during the IB Diploma course is the IA submitted?<\/strong><\/p>\n<p>The IB Mathematics AI IA is typically submitted during the second year of the Diploma Programme, often in the first or second term of Year 13 (or equivalent). Most schools have an internal deadline several months before the IBO&#8217;s final submission window. Students should begin drafting their exploration in Year 12 to allow sufficient time for research, drafting, and revision.<\/p>\n<p><strong>Does the IB Mathematics AI IA need to include real-world data?<\/strong><\/p>\n<p>Yes. Real-world data in IB AI IA is a fundamental requirement, not a recommendation. The course is built around applying mathematics to real-world contexts. Whether the data is primary (collected by the student through surveys or experiments) or secondary (sourced from published databases or research), it must be clearly cited, evaluated for reliability, and used meaningfully throughout the investigation.<\/p>\n<p><strong>How do you demonstrate personal engagement in the IB Mathematics AI IA?<\/strong><\/p>\n<p>Personal engagement is demonstrated through specific choices made throughout the paper. Using original primary data, investigating an anomaly that appeared in the dataset, pursuing a follow-up question that arose during analysis, and connecting results to personal lived experience are all strong signals of personal engagement. It cannot be faked with a single sentence in the introduction.<\/p>\n<p><strong>Conclusion<\/strong><\/p>\n<p>At Times Edu, our curriculum specialists have guided hundreds of IB students through the IA process across all four mathematics courses. We know where students typically stall, which topics tend to support strong Criterion E scores, and how to structure a draft that a moderator will score highly. If you or your child is beginning the IB Maths AI IA journey and wants a personalised academic roadmap, our team is ready to help you build it from the first draft to the final submission.<\/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;46024&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;1&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;5&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;5\\\/5 - (1 vote)&quot;,&quot;size&quot;:&quot;24&quot;,&quot;title&quot;:&quot;IB Mathematics AI IA 2026: The complete guide to the exploration internal assessment&quot;,&quot;width&quot;:&quot;142.5&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: 142.5px;\">\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            5\/5 - (1 vote)    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p>The IB Mathematics AI IA, officially called the Mathematical Exploration, is an independent investigation in which students apply mathematics to a focused real-world question of their own choice. It contributes 20% of the final grade at both SL and HL and is assessed through presentation, mathematical communication, personal engagement, reflection, and use of mathematics. A &#8230; <a title=\"IB Mathematics AI IA 2026: The complete guide to the exploration internal assessment\" class=\"read-more\" href=\"https:\/\/times.edu.vn\/en\/ib\/ib-mathematics-ai-ia\/\" aria-label=\"Read more about IB Mathematics AI IA 2026: The complete guide to the exploration internal assessment\">Read more<\/a><\/p>\n","protected":false},"author":12,"featured_media":45945,"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-46024","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\/46024","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\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/comments?post=46024"}],"version-history":[{"count":3,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/posts\/46024\/revisions"}],"predecessor-version":[{"id":46078,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/posts\/46024\/revisions\/46078"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/media\/45945"}],"wp:attachment":[{"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/media?parent=46024"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/categories?post=46024"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/tags?post=46024"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}