{"id":39107,"date":"2026-04-21T16:27:51","date_gmt":"2026-04-21T09:27:51","guid":{"rendered":"https:\/\/times.edu.vn\/?p=39107"},"modified":"2026-04-21T17:08:00","modified_gmt":"2026-04-21T10:08:00","slug":"ib-ia-choosing-feasible-topic","status":"publish","type":"post","link":"https:\/\/times.edu.vn\/en\/ib\/ib-ia-choosing-feasible-topic\/","title":{"rendered":"Choosing A IB IA Feasible Topic 2026: How to Pick a Feasible IA That Scores Top Marks"},"content":{"rendered":"<p>Choosing an <strong><a href=\"https:\/\/times.edu.vn\/en\/ib\/the-ultimate-ib-diploma-program-ibdp-guide\/\">IB<\/a><\/strong><strong> IA feasible topic<\/strong>\u00a0means selecting an Internal Assessment idea that is <strong>specific, rubric-aligned, and realistically doable<\/strong>\u00a0with your school\u2019s time and resources.<\/p>\n<p>A feasible topic starts from a genuine interest, then narrows into a <strong>tight research question<\/strong>\u00a0with a clear <strong>methodology<\/strong>\u00a0and manageable <strong>experiment design<\/strong>.<\/p>\n<p>You must confirm access to <strong>primary data<\/strong>\u00a0(experiments\/surveys) or reliable <strong>secondary data<\/strong>\u00a0(datasets\/sources) and run a quick <strong>feasibility study<\/strong>\u00a0to test materials, timeline, and analysis depth.<\/p>\n<p>The best-scoring IAs are not the most complicated; they are the most controllable, measurable, and well-scoped for strong academic research and evaluation.<\/p>\n<h2><strong>Steps to ensure your IB IA choose topic feasible criteria are met<\/strong><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-39143\" src=\"https:\/\/times.edu.vn\/wp-content\/uploads\/2026\/04\/3-20.webp\" alt=\"Choosing A IB IA Feasible Topic 2026: How to Pick a Feasible IA That Scores Top Marks\" width=\"1000\" height=\"558\" srcset=\"https:\/\/times.edu.vn\/wp-content\/uploads\/2026\/04\/3-20.webp 1000w, https:\/\/times.edu.vn\/wp-content\/uploads\/2026\/04\/3-20-300x167.webp 300w, https:\/\/times.edu.vn\/wp-content\/uploads\/2026\/04\/3-20-768x429.webp 768w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p>An <strong>IB Internal Assessment (IA)<\/strong>\u00a0is a teacher-assessed coursework component (lab report, investigation, essay, modelling task) that typically contributes <strong>around 20\u201330%<\/strong>\u00a0of your final subject grade, depending on the IB syllabus and subject.<\/p>\n<p>Based on our years of practical tutoring at Times Edu, the fastest way to raise your IA score is not \u201cworking harder\u201d but choosing a topic that is <strong>feasible, analyzable, and rubric-friendly<\/strong>\u00a0from day one.<\/p>\n<h3><strong>The feasibility triad: <\/strong><strong>T<\/strong><strong>he only framework you need<\/strong><\/h3>\n<p>A feasible IA topic sits at the intersection of three forces: <strong>T<\/strong><strong>ime, access, and analysis<\/strong>. If any one is weak, your project becomes a stress spiral, and the quality of methodology and reflection collapses.<\/p>\n<p><strong>Feasibility triad (non-negotiables):<\/strong><\/p>\n<ul>\n<li><strong>Time feasibility:<\/strong>\u00a0Can you collect and process data within your school calendar and internal deadlines?<\/li>\n<li><strong>Access feasibility:<\/strong>\u00a0Do you have reliable access to equipment, participants, texts, databases, or datasets?<\/li>\n<li><strong>Analysis feasibility:<\/strong>\u00a0Can you produce meaningful analysis beyond description, using appropriate academic research methods?<\/li>\n<\/ul>\n<h3><strong>A critical detail most students overlook in the 2026 exam cycle is\u2026<\/strong><\/h3>\n<p>Your IA is graded against <strong>subject-specific criteria<\/strong>, and teachers (and moderators) reward <strong>quality of thinking<\/strong>, not topic \u201ccoolness.\u201d<\/p>\n<p>A flashy experiment design that produces messy data often scores lower than a simple design with clean variables and strong evaluation.<\/p>\n<h3><strong>Common misconceptions that tank IA scores<\/strong><\/h3>\n<p>Students lose marks because they optimize the wrong thing. These misconceptions show up every year in our marking and feedback clinics.<\/p>\n<p><strong>Misconceptions to avoid:<\/strong><\/p>\n<ul>\n<li>\u201cA broad topic shows ambition.\u201d Broad topics usually prevent deep analysis and kill your research question precision.<\/li>\n<li>\u201cHarder experiment = higher score.\u201d Complexity increases error and reduces control, weakening methodology and evaluation.<\/li>\n<li>\u201cIf I find good secondary data, I don\u2019t need primary data.\u201d Some subjects allow strong secondary data, but you still need a rigorous methodology and justification.<\/li>\n<li>\u201cMy IA must be completely original.\u201d Originality helps, but the rubric rewards <strong>reasoned analysis, valid methods, and critical reflection<\/strong>.<\/li>\n<\/ul>\n<h3><strong>Feasibility screening checklist (use before you commit)<\/strong><\/h3>\n<p>Use this quick <strong>feasibility study<\/strong>\u00a0to decide whether your <strong>IB IA choose topic feasible<\/strong>\u00a0goal is realistically met. If you cannot answer \u201cYes\u201d to most items, you are not ready to finalize.<\/p>\n<table>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\"><strong>Feasibility factor<\/strong><\/th>\n<th colspan=\"1\" rowspan=\"1\"><strong>What \u201cYes\u201d looks like<\/strong><\/th>\n<th colspan=\"1\" rowspan=\"1\"><strong>Red flags<\/strong><\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Data access<\/td>\n<td colspan=\"1\" rowspan=\"1\">You can collect primary data or secure reliable secondary data<\/td>\n<td colspan=\"1\" rowspan=\"1\">You \u201chope\u201d a teacher or lab can provide materials<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Scope<\/td>\n<td colspan=\"1\" rowspan=\"1\">One clear variable relationship or one tightly framed argument<\/td>\n<td colspan=\"1\" rowspan=\"1\">Multiple variables, multiple case studies, or \u201cglobal\u201d themes<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Methodology<\/td>\n<td colspan=\"1\" rowspan=\"1\">A repeatable method with measurable outcomes<\/td>\n<td colspan=\"1\" rowspan=\"1\">Vague plan, no control variables, unclear sampling<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">IB syllabus fit<\/td>\n<td colspan=\"1\" rowspan=\"1\">The topic links directly to syllabus concepts and skills<\/td>\n<td colspan=\"1\" rowspan=\"1\">Interesting but outside what the course emphasizes<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Analysis plan<\/td>\n<td colspan=\"1\" rowspan=\"1\">You can name the analysis tools you will use<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u201cI\u2019ll see what the data shows\u201d<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Timeline<\/td>\n<td colspan=\"1\" rowspan=\"1\">Data collection + writing fits your school schedule<\/td>\n<td colspan=\"1\" rowspan=\"1\">You need extra weeks you don\u2019t have<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3><strong>How feasibility connects to scoring (what high-achievers do)<\/strong><\/h3>\n<p>From our direct experience with international school curricula, top-scoring IAs share two traits: <strong>T<\/strong><strong>ight project scoping<\/strong>\u00a0and <strong>evaluation depth<\/strong>.<br \/>\nThat means your topic must force\u00a0you to discuss validity, limitations, and improvements, not just \u201cresults.\u201d<\/p>\n<p><strong>The pedagogical approach we recommend for high-achievers is:<\/strong><\/p>\n<ul>\n<li>Choose a topic with <strong>clean measurement<\/strong>\u00a0and <strong>controlled conditions<\/strong>.<\/li>\n<li>Design the project so that evaluation is inevitable (uncertainty, bias, limitations, reliability).<\/li>\n<li>Align your research question with the rubric language early, before you collect data.<\/li>\n<\/ul>\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-ia-rubric-checklist\/\">IB IA Rubric Checklist<\/a> 2026: What to Review Carefully Before You Submit Your Internal Assessment<\/p>\n<h2><strong>Evaluating resource availability and lab equipment for your research<\/strong><\/h2>\n<p>Feasibility is not motivational; it is logistical. If your resources are uncertain, your IA quality becomes uncertain.<\/p>\n<h3><strong>Resource mapping: <\/strong><strong>Y<\/strong><strong>our \u201caccess audit\u201d<\/strong><\/h3>\n<p>Do a simple audit of everything you need. Then confirm access with your teacher before finalizing your research question.<\/p>\n<p><strong>Access audit categories:<\/strong><\/p>\n<ul>\n<li><strong>Materials:<\/strong>\u00a0Reagents, organisms, sensors, apparatus, software licences, calculators, graphing tools<\/li>\n<li><strong>Space:<\/strong>\u00a0School lab availability, safety approvals, quiet testing rooms, computer labs<\/li>\n<li><strong>Time blocks:<\/strong>\u00a0How many sessions you can realistically run, including repeats<\/li>\n<li><strong>Support:<\/strong>\u00a0Technician availability, teacher sign-off, ethical approval if relevant<\/li>\n<\/ul>\n<h3><strong>Primary data vs secondary data: <\/strong><strong>C<\/strong><strong>hoose strategically<\/strong><\/h3>\n<p>Many students treat primary data as \u201csuperior,\u201d but feasibility depends on your subject and method. Strong <strong>secondary data<\/strong>\u00a0can score very well when handled like proper academic research, with careful methodology and critical evaluation.<\/p>\n<table>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\"><strong>Data type<\/strong><\/th>\n<th colspan=\"1\" rowspan=\"1\"><strong>What it is<\/strong><\/th>\n<th colspan=\"1\" rowspan=\"1\"><strong>When it works best<\/strong><\/th>\n<th colspan=\"1\" rowspan=\"1\"><strong>Typical pitfalls<\/strong><\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Primary data<\/td>\n<td colspan=\"1\" rowspan=\"1\">Data you collect directly (experiment, survey, observation)<\/td>\n<td colspan=\"1\" rowspan=\"1\">Sciences, psychology-style investigations, fieldwork, some humanities methods<\/td>\n<td colspan=\"1\" rowspan=\"1\">Small sample sizes, uncontrolled variables, weak reliability<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Secondary data<\/td>\n<td colspan=\"1\" rowspan=\"1\">Data from existing sources (datasets, archives, published studies)<\/td>\n<td colspan=\"1\" rowspan=\"1\">Economics, geography, some sciences (databanks), history\/document analysis<\/td>\n<td colspan=\"1\" rowspan=\"1\">Cherry-picking sources, weak source evaluation, descriptive writing<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3><strong>Feasible experiment design: <\/strong><strong>K<\/strong><strong>eep it measurable<\/strong><\/h3>\n<p>In science, feasibility lives inside your <strong>experiment design<\/strong>. Your best friend is a plan that minimizes uncontrolled variables while producing analyzable variation.<\/p>\n<p><strong>Feasible science design principles:<\/strong><\/p>\n<ul>\n<li>One independent variable you can manipulate safely and consistently<\/li>\n<li>One dependent variable you can measure accurately with available tools<\/li>\n<li>Clear control conditions and repeat trials<\/li>\n<li>A realistic method for processing uncertainty and errors<\/li>\n<\/ul>\n<h3><strong>A practical rule Times Edu uses<\/strong><\/h3>\n<p>If you cannot run at least <strong>3\u20135 repeats per condition<\/strong>\u00a0within your timetable, your plan is probably over-scoped.<\/p>\n<p>If your measurement tool cannot reliably detect the size of effect you expect, your project is under-instrumented.<\/p>\n<h3><strong>Subject-specific feasibility traps<\/strong><\/h3>\n<p>Feasibility differs by subject, even inside the IB syllabus. A topic that is feasible in Biology may be impossible in Chemistry with your school\u2019s materials.<\/p>\n<p><strong>Examples of hidden feasibility traps:<\/strong><\/p>\n<ul>\n<li><strong>Biology:<\/strong>\u00a0Contamination control, ethical constraints, organism availability<\/li>\n<li><strong>Chemistry:<\/strong>\u00a0Hazardous reagents, temperature control, calibration precision<\/li>\n<li><strong>Physics:<\/strong>\u00a0Sensor resolution, friction\/air resistance confounds, equipment limits<\/li>\n<li><strong>Mathematics:<\/strong>\u00a0Modelling requires data quality and valid assumptions, not just equations<\/li>\n<li><strong>Humanities:<\/strong>\u00a0Source accessibility, language barriers, overly broad historical contexts<\/li>\n<\/ul>\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-ia-workload-management\/\">IB IA Workload Management for<\/a> 2026: Smart Ways to Balance Research, Writing, and Deadlines<\/p>\n<h2><strong>Narrowing down a broad interest into a highly specific research question<\/strong><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-39145\" src=\"https:\/\/times.edu.vn\/wp-content\/uploads\/2026\/04\/4-20.webp\" alt=\"Choosing A IB IA Feasible Topic 2026: How to Pick a Feasible IA That Scores Top Marks\" width=\"1000\" height=\"558\" srcset=\"https:\/\/times.edu.vn\/wp-content\/uploads\/2026\/04\/4-20.webp 1000w, https:\/\/times.edu.vn\/wp-content\/uploads\/2026\/04\/4-20-300x167.webp 300w, https:\/\/times.edu.vn\/wp-content\/uploads\/2026\/04\/4-20-768x429.webp 768w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p>Most students pick a theme, not a research question. A theme is a hobby; a <strong>research question<\/strong>\u00a0is a decision that locks your methodology, data, and analysis.<\/p>\n<h3><strong>The narrowing ladder (use this, not brainstorming chaos)<\/strong><\/h3>\n<p>Start broad, then narrow in controlled steps. Each step must reduce ambiguity and increase measurability.<\/p>\n<p><strong>Narrowing ladder:<\/strong><\/p>\n<ul>\n<li><strong>Interest area:<\/strong>\u00a0\u201cSugar and fermentation\u201d<\/li>\n<li><strong>Context + variable:<\/strong>\u00a0\u201cSugar concentration and yeast fermentation rate\u201d<\/li>\n<li><strong>Measurable outcome:<\/strong>\u00a0\u201cCO\u2082 production per minute under controlled temperature\u201d<\/li>\n<li><strong>Final research question:<\/strong>\u00a0\u201cHow does sucrose concentration (0\u201320%) affect the rate of CO\u2082 production in Saccharomyces cerevisiae\u00a0at 30\u00b0C over 10 minutes?\u201d<\/li>\n<\/ul>\n<p>This is exactly what \u201c<strong>IB IA choose topic feasible<\/strong>\u201d looks like in practice: Specific, personal, and doable within school resources and time.<\/p>\n<h3><strong>What \u201cspecific\u201d really means in an IA research question<\/strong><\/h3>\n<p>Specific means your question implies:<\/p>\n<ul>\n<li>A<strong>\u00a0defined population\/system<\/strong>\u00a0(which organism, which dataset, which region, which time period)<\/li>\n<li>A<strong>\u00a0defined variable relationship<\/strong>\u00a0(what changes, what is measured)<\/li>\n<li>A<strong>\u00a0defined boundary<\/strong>\u00a0(range, timeframe, sample size, context)<\/li>\n<\/ul>\n<p>If your question cannot be answered in a single investigation with a clear method, it is not yet a research question. It is still a theme.<\/p>\n<h3><strong>Research question templates by category<\/strong><\/h3>\n<p>These templates help you produce a rubric-friendly question that supports methodology and analysis. Pick one and force your idea into it.<\/p>\n<table>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\"><strong>Category<\/strong><\/th>\n<th colspan=\"1\" rowspan=\"1\"><strong>Research question template<\/strong><\/th>\n<th colspan=\"1\" rowspan=\"1\"><strong>Notes<\/strong><\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Lab experiment<\/td>\n<td colspan=\"1\" rowspan=\"1\">How does <strong>X<\/strong>\u00a0affect <strong>Y<\/strong>\u00a0under <strong>Z<\/strong>\u00a0conditions?<\/td>\n<td colspan=\"1\" rowspan=\"1\">Best for controlled primary data<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Comparative analysis<\/td>\n<td colspan=\"1\" rowspan=\"1\">To what extent does <strong>A<\/strong>\u00a0differ from <strong>B<\/strong>\u00a0in <strong>C<\/strong>\u00a0context?<\/td>\n<td colspan=\"1\" rowspan=\"1\">Strong for humanities and some sciences<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Modelling<\/td>\n<td colspan=\"1\" rowspan=\"1\">How accurately can <strong>Model M<\/strong>\u00a0predict <strong>Outcome Y<\/strong>\u00a0given <strong>Dataset D<\/strong>?<\/td>\n<td colspan=\"1\" rowspan=\"1\">Ideal for Mathematics with real data<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Policy\/economics<\/td>\n<td colspan=\"1\" rowspan=\"1\">What is the impact of <strong>Policy P<\/strong>\u00a0on <strong>Outcome Y<\/strong>\u00a0in <strong>Region R <\/strong>during <strong>T<\/strong>?<\/td>\n<td colspan=\"1\" rowspan=\"1\">Needs credible secondary data and evaluation<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3><strong>Project scoping: <\/strong><strong>T<\/strong><strong>he \u201cone-move\u201d test<\/strong><\/h3>\n<p>A feasible IA can often be described as one main intellectual move. Either you measure one relationship, test one mechanism, model one phenomenon, or evaluate one narrowly defined claim.<\/p>\n<p><strong>Over-scoped warning signs:<\/strong><\/p>\n<ul>\n<li>More than two independent variables<\/li>\n<li>Multiple case studies across different contexts<\/li>\n<li>A research question that includes \u201cglobal,\u201d \u201cthroughout history,\u201d or \u201call factors\u201d<\/li>\n<li>A plan that depends on other people responding reliably (large surveys without access)<\/li>\n<\/ul>\n<h3><strong>Choosing a topic that supports university applications (without turning into a mess)<\/strong><\/h3>\n<p>Parents and students often want the IA to \u201cmatch the major\u201d. That can work, but only if the topic remains feasible and aligned to the IB syllabus.<\/p>\n<p>From our direct experience with international school curricula, the best approach is to choose a topic that signals academic direction while staying tightly scoped.<\/p>\n<p>For example, a future medicine applicant can do Biology IA on enzyme kinetics with accessible materials, rather than attempting clinical-style research that is not feasible.<\/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-ia-past-paper-strategy\/\">IB IA Past Paper Strategy for<\/a> 2026: How to Use Past Papers Effectively for Better Results<\/p>\n<h2><strong>Reviewing past Internal Assessment examples for realistic project scoping<\/strong><\/h2>\n<p>Good exemplars\u00a0save time, but only if you read them like a strategist. Your goal is not to copy a topic; your goal is to learn what <strong>feasible execution<\/strong>\u00a0looks like.<\/p>\n<h3><strong>Where exemplars help most<\/strong><\/h3>\n<p>Exemplars teach you:<\/p>\n<ul>\n<li>How narrow strong research questions are<\/li>\n<li>What clean methodology looks like<\/li>\n<li>How evaluation and reflection are structured<\/li>\n<li>What \u201canalysis beyond description\u201d actually sounds like<\/li>\n<\/ul>\n<p>Based on our years of practical tutoring at Times Edu, students improve fastest when they compare their draft plan against 2\u20133 high-scoring exemplars\u00a0and revise scope early.<\/p>\n<p>That prevents late-stage panic when primary data fails or analysis becomes thin.<\/p>\n<h3><strong>How to audit an exemplar (do this in 12 minutes)<\/strong><\/h3>\n<p>Do not read exemplars\u00a0passively. Interrogate them for decisions.<\/p>\n<p><strong>Exemplar audit questions:<\/strong><\/p>\n<ul>\n<li>What exactly is the research question, and what does it exclude?<\/li>\n<li>What primary data or secondary data did they use, and why was it feasible?<\/li>\n<li>What methodology steps created reliability?<\/li>\n<li>Where did they discuss limitations, validity, and improvements?<\/li>\n<li>What analysis tools did they use (graphs, statistics, modelling, source evaluation)?<\/li>\n<\/ul>\n<h3><strong>A realistic scoping benchmark<\/strong><\/h3>\n<p>If your plan is longer and more complex than what a strong exemplar executed, you are probably over-scoped. If your plan has less analysis depth than a strong exemplar, you are under-designed.<\/p>\n<h3><strong>Subject examples of feasible topics (adapt, don\u2019t imitate)<\/strong><\/h3>\n<p>These are feasibility-friendly directions that map well to typical school resources. They also naturally support methodology, evaluation, and analysis.<\/p>\n<table>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\"><strong>Subject<\/strong><\/th>\n<th colspan=\"1\" rowspan=\"1\"><strong>Feasible topic direction<\/strong><\/th>\n<th colspan=\"1\" rowspan=\"1\"><strong>Why it\u2019s feasible<\/strong><\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Biology<\/td>\n<td colspan=\"1\" rowspan=\"1\">UV exposure and yeast mutation frequency; temperature and mitosis rate in onion root tips<\/td>\n<td colspan=\"1\" rowspan=\"1\">Accessible materials, measurable outcomes, controllable variables<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Chemistry<\/td>\n<td colspan=\"1\" rowspan=\"1\">Concentration effects on reaction rate with safe reagents; acidity impact on vitamin C degradation<\/td>\n<td colspan=\"1\" rowspan=\"1\">Measurable changes, repeatable trials, manageable safety<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Physics<\/td>\n<td colspan=\"1\" rowspan=\"1\">Angle and distance in projectile motion under controlled launch conditions<\/td>\n<td colspan=\"1\" rowspan=\"1\">Clear variables, quantifiable data, evaluation opportunities<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Mathematics<\/td>\n<td colspan=\"1\" rowspan=\"1\">Modelling wildfire spread; calculus-based modelling of trend behaviour in a defined dataset<\/td>\n<td colspan=\"1\" rowspan=\"1\">Data-driven, rubric-friendly reasoning, strong evaluation of assumptions<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">History<\/td>\n<td colspan=\"1\" rowspan=\"1\">Impact of a specific local policy during a defined event period<\/td>\n<td colspan=\"1\" rowspan=\"1\">Source evaluation focus, narrow scope enables depth<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Economics<\/td>\n<td colspan=\"1\" rowspan=\"1\">Game theory application in a specific local business decision context<\/td>\n<td colspan=\"1\" rowspan=\"1\">Clear framework, strong secondary data potential<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3><strong>Times Edu topic-feasibility support (what we actually do with students)<\/strong><\/h3>\n<p>We don\u2019t just \u201capprove\u201d topics. We run a short feasibility study, tighten the research question, and map the methodology and analysis plan before you collect any data.<\/p>\n<p>That single step is often the difference between a stressful IA and a controlled, high-scoring project.<\/p>\n<p>If you want, Times Edu can review your draft research question and tell you what to cut, what to measure, and how to keep it feasible.<\/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-ia-topic-selection\/\">IB IA Topic Selection for<\/a> 2026: How to Choose a Strong and Manageable Idea<\/p>\n<h2><strong>Frequently asked questions<\/strong><\/h2>\n<div class=\"hoi-dap-thok-new low-faq\">\n<div class=\"thong-tin-dai\">\n<p class=\"tit-dai\"><strong>How do I choose a good IB IA topic?<\/strong><\/p>\n<div class=\"chi-tiet-thong-tin\">\n<p>Start with an area you genuinely care about, then force it into a <strong>measurable research question<\/strong>\u00a0aligned with the IB syllabus. Choose a topic that naturally produces analyzable data and invites evaluation of limitations.Based on our years of practical tutoring at Times Edu, the best topics are not the most creative; they are the most <strong>executable<\/strong>.<\/p>\n<\/div>\n<\/div>\n<div class=\"thong-tin-dai\">\n<p class=\"tit-dai\"><strong>What makes an IB Internal Assessment topic feasible?<\/strong><\/p>\n<div class=\"chi-tiet-thong-tin\">\n<p>A feasible <strong>Internal Assessment (IA)<\/strong>\u00a0topic is <strong>specific, resourced, and analyzable<\/strong>\u00a0within your school\u2019s time and equipment limits.It allows you to collect solid primary data or credible secondary data, apply a clear methodology, and produce analysis that goes beyond description.<\/p>\n<p>If you cannot confidently control variables, access sources, and explain how you will analyze results, your <strong>IB IA choose topic feasible<\/strong>\u00a0criteria are not met.<\/p>\n<\/div>\n<\/div>\n<div class=\"thong-tin-dai\">\n<p class=\"tit-dai\"><strong>Can I change my IB IA topic if the experiment is too hard?<\/strong><\/p>\n<div class=\"chi-tiet-thong-tin\">\n<p>Yes, but changing late is costly because you lose time and may compromise the quality of your methodology and reflection.The smarter move is to run a small pilot early, then adjust scope while keeping the same core research question structure.<\/p>\n<p>If the experiment design is fundamentally unworkable, pivot to a simpler variable relationship or a validated secondary-data methodology.<\/p>\n<\/div>\n<\/div>\n<div class=\"thong-tin-dai\">\n<p class=\"tit-dai\"><strong>How specific should an IB IA research question be?<\/strong><\/p>\n<div class=\"chi-tiet-thong-tin\">\n<p>Specific enough that your method is obvious and your boundaries are clear (system, variables, range, timeframe).If your question includes multiple big themes, it will likely block deep analysis. A strong research question reads like a blueprint for data collection and evaluation.<\/p>\n<\/div>\n<\/div>\n<div class=\"thong-tin-dai\">\n<p class=\"tit-dai\"><strong>Where can I find reliable secondary data for my IB IA?<\/strong><\/p>\n<div class=\"chi-tiet-thong-tin\">\n<p>Use academically credible sources such as peer-reviewed journals, government databases, reputable international organizations, and established academic datasets.Log your selection criteria so your methodology explains why sources are valid and comparable. Avoid random blogs and untraceable charts because they collapse your source evaluation.<\/p>\n<\/div>\n<\/div>\n<div class=\"thong-tin-dai\">\n<p class=\"tit-dai\"><strong>Does my IB IA topic have to be completely original?<\/strong><\/p>\n<div class=\"chi-tiet-thong-tin\">No, and chasing \u201cnever done before\u201d topics often destroys feasibility. What matters is your thinking: How you design methodology, justify choices, analyze results, and evaluate limitations. A well-executed standard topic regularly outperforms a novel but chaotic one.<\/div>\n<\/div>\n<div class=\"thong-tin-dai\">\n<p class=\"tit-dai\"><strong>How long should it take to finalize an IB IA topic?<\/strong><\/p>\n<div class=\"chi-tiet-thong-tin\">\n<p>For most students, a strong topic and research question can be finalized within 1\u20132 weeks if you run a quick feasibility study and a small pilot.If you are still \u201cdeciding\u201d after that, it usually means the scope is too broad or resources are uncertain.<\/p>\n<p>Times Edu can shorten this process by stress-testing feasibility, rubric fit, and analysis plan in a single consultation.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<h4>Conclusion<\/h4>\n<p>If you share your subject, your rough interest area, and what resources your school can provide, <a href=\"https:\/\/times.edu.vn\/en\/\">Times Edu<\/a>\u00a0can help you convert that idea into a feasible research question with a clean methodology and realistic project scoping.<\/p>\n<p>That is how students protect their IA marks and keep their university profile coherent without overcomplicating the work.<\/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;39107&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;Choosing A IB IA Feasible Topic 2026: How to Pick a Feasible IA That Scores Top Marks&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>Choosing an IB IA feasible topic\u00a0means selecting an Internal Assessment idea that is specific, rubric-aligned, and realistically doable\u00a0with your school\u2019s time and resources. A feasible topic starts from a genuine interest, then narrows into a tight research question\u00a0with a clear methodology\u00a0and manageable experiment design. You must confirm access to primary data\u00a0(experiments\/surveys) or reliable secondary data\u00a0(datasets\/sources) &#8230; <a title=\"Choosing A IB IA Feasible Topic 2026: How to Pick a Feasible IA That Scores Top Marks\" class=\"read-more\" href=\"https:\/\/times.edu.vn\/en\/ib\/ib-ia-choosing-feasible-topic\/\" aria-label=\"Read more about Choosing A IB IA Feasible Topic 2026: How to Pick a Feasible IA That Scores Top Marks\">Read more<\/a><\/p>\n","protected":false},"author":7,"featured_media":39116,"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-39107","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\/39107","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\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/comments?post=39107"}],"version-history":[{"count":4,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/posts\/39107\/revisions"}],"predecessor-version":[{"id":39147,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/posts\/39107\/revisions\/39147"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/media\/39116"}],"wp:attachment":[{"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/media?parent=39107"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/categories?post=39107"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/times.edu.vn\/en\/wp-json\/wp\/v2\/tags?post=39107"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}