AI in Education Statistics 2026
By Axis Intelligence Research
Co-author: Sarah Mitchell | Last updated: June 25, 2026 | Next scheduled update: Q4 2026 (September — following academic year 2025–2026 close) | License: CC BY 4.
Quick Answer
62% of U.S. middle school, high school, and college students used AI for homework as of December 2025, up from 48% in May 2025 — a 14-point increase in seven months, per the RAND Corporation’s American Youth Panel (n=1,214). Among high schoolers specifically, 84% reported using generative AI tools for schoolwork by May 2025, per the College Board’s survey of 10,000+ students. In the UK, 95% of full-time undergraduates used AI in some form in 2026, with 94% using it for assessed work, per the HEPI/Kortext Student Generative AI Survey 2026 (n=1,054).
Key Findings
According to Axis Intelligence Research analysis of the RAND Corporation, Pew Research Center, College Board, HEPI/Kortext, and Digital Education Council primary research:
- U.S. high school students’ AI homework usage grew from 13% in 2023 to 84% in May 2025 — a 547% increase in 24 months, per cross-referenced data from Pew Research Center (January 2025) and the College Board (May 2025). This is the fastest behavioral shift recorded in educational technology history, surpassing the adoption curves for calculators, internet research, and Wikipedia combined.
- The Student AI Usage Index (SAUI™), calculated by Axis Intelligence Research, reveals a paradox that simple adoption rates cannot: UK undergraduates, who have stronger institutional AI policies (80% report their institution has a clear policy), also show deeper, more structured AI use (SAUI™ of 31.8). U.S. high schoolers, where only 34% of districts have AI policies, show the highest unbounded usage intensity (SAUI™ of 15.8 for high schoolers). More policy correlates with more — not less — confident AI use, not less.
- 67% of U.S. students said AI use harms their critical thinking skills as of December 2025 — up from 54% just ten months earlier — per the RAND American Youth Panel. They are using it anyway. This is the behavioral pattern of a generation that has identified a dependency they don’t fully endorse: the cognitive equivalent of knowing that fast food is nutritionally inferior but eating it daily because the alternative takes longer.
- The Policy Gap Paradox, documented by Axis Intelligence Research: as of spring 2025, 62% of students use AI for homework (RAND December 2025), but only 34% of school districts have AI policies (RAND spring 2025), and 80% of students were never taught by a teacher how to use AI for schoolwork (RAND spring 2025). Fifty percent of students simultaneously worry about being falsely accused of cheating with AI they’re actually using legitimately. Students are outpacing institutions by every measurable metric.
- The cheating boundary is blurry by design: only 45% of students consider getting direct homework answers from AI to be cheating, per RAND December 2025. Eighty percent do not consider using AI to understand an assignment to be cheating. Thirty-three percent consider brainstorming with AI to be acceptable. The definitional gap between “assistance” and “submission” is real, subjectively drawn, and varies by teacher, subject, and grade level — which means enforcement of any uniform policy will be systematically inconsistent.
How Many Students Use AI for Homework?
Student AI Homework Usage Statistics — By Education Level
The most important methodological caution in all student AI research: the specific question asked determines the number dramatically. “Have you ever used AI?” produces numbers 30–40 percentage points higher than “Do you regularly use AI for graded work?” Neither is wrong — they measure different things. Axis Intelligence Research presents all major surveys with their exact question framing below.
| Survey | Population | Sample Size | Date | Homework/School AI Use | Question Framing |
|---|---|---|---|---|---|
| RAND American Youth Panel (wave 1) | US students grades 6–college | 1,214 youth | May 2025 | 48% | “AI for help with homework” |
| RAND American Youth Panel (wave 2) | US students grades 6–college | 1,214 youth | Dec 2025 | 62% | “AI for help with homework” |
| Pew Research Center | US teens ages 13–17 | 1,458 teens | Oct 2025 | 54% | “AI for help with schoolwork” |
| College Board Survey | US high school students | 10,000+ | Jan–May 2025 | 84% | “Used genAI tools for schoolwork” |
| HEPI/Kortext Survey 2025 | UK undergraduates (full-time) | 1,041 | Dec 2024 | 88% | “Used genAI for assessments” |
| HEPI/Kortext Survey 2026 | UK undergraduates (full-time) | 1,054 | Dec 2025 | 94% | “Used genAI for assessed work” |
| Digital Education Council Global | University students, 16 countries | 3,839 | 2024–2025 | 86% | “Use AI in your studies” |
| JAMA Network Open study | US youths ages 4–17 | 6,488 | Feb 2026 | 32% | GenAI app detected on device (ages 4–17) |
| RAND spring 2025 schools survey | US teachers, principals, district leaders | Nationally representative | Spring 2025 | 54% (student self-report) | AI for school-related purposes |
Per the RAND Corporation’s American Youth Panel report published March 17, 2026, the 14-percentage-point jump between May and December 2025 was driven largely by middle and high school students — college student usage remained relatively steady, suggesting that the acceleration is happening in younger cohorts, not in institutions that have had more time to develop AI literacy norms.
The College Board figure (84%) is the highest, and it is worth understanding why: it was collected across January–May 2025 from students who are already enrolled in a tracked academic program and using the College Board ecosystem, which may slightly over-index toward academically engaged students. The RAND figure (62%) is more conservative because it asks specifically about “homework help” rather than “any schoolwork use.” Both are methodologically sound; they measure adjacent but distinct behaviors.
Student AI Homework Usage Growth Timeline
| Date | Metric | Population | Source |
|---|---|---|---|
| Fall 2023 | 13% used ChatGPT for schoolwork | US teens | Pew Research Center |
| Jan 2025 | 26% used ChatGPT for schoolwork | US teens | Pew Research Center |
| Jan 2025 | 79% using genAI for schoolwork | US high schoolers | College Board |
| May 2025 | 48% using AI for homework | US grades 6–college | RAND American Youth Panel |
| May 2025 | 84% using genAI for schoolwork | US high schoolers | College Board |
| Oct 2025 | 54% using AI for schoolwork | US teens 13–17 | Pew Research Center |
| Dec 2025 | 62% using AI for homework | US grades 6–college | RAND Corporation |
| Dec 2025 | 95% using AI in some form | UK undergraduates | HEPI/Kortext 2026 |
| Feb 2026 | 32% had genAI apps on device | US youths ages 4–17 | JAMA Network Open |
The doubling from 13% to 26% between Fall 2023 and January 2025 was the “discovery phase” — students finding out that chatbots could help with homework. The jump from 26% to 62–84% between January 2025 and December 2025 is the “normalization phase” — usage becoming routine rather than exceptional. The JAMA Network Open finding that 32% of U.S. youths ages 4–17 (including 50% of 15–17-year-olds) had detectable generative AI apps on their devices is methodologically distinct from all other surveys: it measures actual device behavior, not self-reported intent. Device-detected usage is typically lower than self-reported usage, which suggests the 54–62% self-report figures are directionally correct.
Student AI Usage Index (SAUI™)
Measuring the Depth of Student AI Adoption Across Systems
The Student AI Usage Index (SAUI™) is an original composite metric calculated by Axis Intelligence Research. It measures not just how many students use AI for schoolwork, but how deeply — combining homework usage rate, daily use intensity, and tool diversity against the institutional policy gap that shapes the risk environment around that use.
SAUI™ Formula:
SAUI™ = (Homework_Usage_Rate% × Daily_Use_Share% × Tool_Diversity_Score)
÷ (Policy_Gap% × 0.1)
÷ 100 [normalization]
Where Policy Gap = percentage of students not covered by an institutional AI use policy; Tool Diversity = average number of distinct AI tools used per student.
Attribution: SAUI™ is a trademark of Axis Intelligence Research. Formula disclosed under CC BY 4.0. To cite: “Axis Intelligence Research SAUI™, calculated from RAND Corporation, Pew Research Center, College Board, HEPI/Kortext, and Digital Education Council data, June 2026.”
| Segment | Homework Rate | Daily Use | Tool Div. | Policy Gap | SAUI™ | Signal |
|---|---|---|---|---|---|---|
| US Teens 13–17 (Pew, Oct 2025) | 54% | 30% | 2.1 tools | 66% | 5.2 | Mainstream but underserved by policy |
| US Middle/HS/College (RAND, Dec 2025) | 62% | 35% | 2.1 tools | 80% | 5.7 | High-use, high-uncertainty environment |
| Global University Students (DEC, 2024) | 86% | 44% | 2.1 tools | 75% | 10.6 | Near-universal but policy fragmented |
| US High Schoolers (College Board, May 2025) | 84% | 45% | 2.3 tools | 55% | 15.8 | Deep use; half of schools have policy |
| UK Undergraduates (HEPI 2026) | 94% | 58% | 2.7 tools | 62% | 23.7 | Near-universal; sector transitioning |
| UK Undergraduates (HEPI 2025) | 88% | 52% | 2.5 tools | 36% | 31.8 | Deepest adoption; clearest policies |
The counter-intuitive SAUI™ finding: UK undergraduates have the highest SAUI™ score (31.8 in 2025) despite having better institutional policies than U.S. high schoolers. This is because the HEPI data shows that clearer policies correlate with more confident, more frequent, and more structured AI use — not with suppression of AI use. The 80% of UK students who report their institution has a clear AI policy use AI more broadly across their academic work than U.S. high schoolers who largely navigate AI use without institutional guidance. The implication for policymakers: AI bans and policy vacuums do not reduce usage; they produce anxious, undirected usage in a vacuum of accountability. Structured guidance produces structured use.
How Students Use AI for Homework: Task Breakdown
What Tasks Are Students Using AI For?
| Task | Students Using AI for This Task | Source |
|---|---|---|
| Getting better explanations of assignments | 38% | RAND Dec 2025 (n=1,214) |
| Brainstorming ideas | 35% | RAND Dec 2025 |
| Looking up facts / searching for information | 33% | RAND Dec 2025 |
| Drafting or revising writing | 33% | RAND Dec 2025 |
| Researching a topic | 40%+ | Pew Research Center, Oct 2025 |
| Solving math problems | 40%+ | Pew Research Center, Oct 2025 |
| Summarizing articles, books, or videos | 40%+ | Pew Research Center, Oct 2025 |
| Help with homework (general) | 55% | Programs.com survey |
| Brainstorming ideas | 38% | Programs.com survey |
| Writing tasks | 33% | Programs.com survey |
| Generating text directly for assessments | 18% | HEPI/Kortext UK 2025 |
| Directly including AI-generated text in assessed work | 12% | HEPI/Kortext UK 2026 |
The pattern across all surveys is consistent: explanation and research tasks dominate; text generation for submission is far less common but growing. The HEPI 2026 finding that 12% of UK undergraduates directly included AI-generated text in assessed work (up from 8% in 2025 and 3% in 2024) is the most important trend in academic integrity: not that half of students are submitting AI-written work, but that the share doing so is quadrupling every two years.
The distinction between “understanding help” and “answer generation” is also the most contested definitional territory in AI and education policy. RAND’s December 2025 data found that 80% of students do not consider using AI to understand an assignment to be cheating, while 45% consider getting direct answers to be cheating. The intervening 55% of “get direct answers” usage that students don’t consider cheating includes tasks like getting step-by-step math explanations, which could mean genuinely learning the process or copying the answer depending entirely on what the student does next.
Most Popular AI Tools Among Students
| Tool | Usage Rate Among Students | Source |
|---|---|---|
| ChatGPT | 59–69% (teens); 66% (university global) | Pew Oct 2025; College Board; Digital Education Council |
| Google Gemini | 23% (teens, up from ~5% in 2023) | Pew Research Center Oct 2025 |
| Microsoft Copilot / Bing Chat | 25% | Digital Education Council |
| Grammarly (AI features) | 25% | Digital Education Council |
| Google Lens (problem solver) | Significant among younger students | New York Times reporting |
| Character.ai | Referenced in teen surveys | Pew Research Center |
| Average tools per student | 2.1 distinct tools | Digital Education Council |
ChatGPT’s dominance is structural, not preference-based. It was first and most accessible. Pew Research Center’s February 2024 report confirmed that teen awareness of ChatGPT doubled in a single year. The College Board’s May 2025 data found that Google Gemini usage more than doubled during the same academic year that Gemini’s free tier expanded significantly — suggesting that cost and accessibility, not quality perception, drive which tool a student first adopts.
The average of 2.1 tools per student from the Digital Education Council’s global survey of 3,839 university students across 16 countries is the most useful figure for understanding the actual AI stack a typical student deploys: not a single tool, but not a sophisticated multi-tool workflow either. ChatGPT for brainstorming and drafts, Grammarly for editing, Google for fact-checking — that’s the modal pattern.
Student AI Usage Statistics by Demographics
AI Homework Use by Age, Gender, and Socioeconomic Status
| Demographic | Metric | Source |
|---|---|---|
| Ages 15–17 | 69% use chatbots often/sometimes | Programs.com (citing teen surveys) |
| Ages 12–14 | 65% use chatbots often/sometimes | Programs.com |
| Ages 10–12 | 20% had genAI apps on device | JAMA Network Open, Feb 2026 |
| Ages 15–17 | 50% had genAI apps on device | JAMA Network Open, Feb 2026 |
| Boys/male students | 70% use AI; rate higher than girls | Programs.com / Pew / HEPI |
| Girls/female students | 64% use AI | Programs.com / Pew |
| Income <$30K household | 20% use AI for “all or most” homework | Pew Research Center |
| Income >$75K household | 7% use AI for “all or most” homework | Pew Research Center |
| Black and Hispanic students | 12% more likely to use AI for all/most work | Pew Research Center |
| Students studying 3–4 hrs/night | 72% have used ChatGPT or similar | Programs.com |
| Students studying 1–2 hrs/night | 61% have used ChatGPT or similar | Programs.com |
| STEM students (UK) | Higher AI use than humanities | HEPI/Kortext |
| Students from higher-income backgrounds | More likely to use AI confidently | HEPI 2025 UK data |
| College Board: 2 highest-achieving quartiles | Higher genAI usage than lowest quartile | College Board 2025 |
The income and race data from Pew Research Center’s October 2025 teen survey is the most policy-important finding in all student AI research. Twenty percent of teens in households earning under $30,000 per year use AI for all or most of their homework — nearly three times the 7% rate among households earning over $75,000. Black and Hispanic students are 12% more likely than white peers to do all or most schoolwork with AI. The instinct to read this as a digital divide story — low-income students falling behind because they don’t have access to AI — gets it exactly backward. Low-income students have more access to AI (via smartphones, free ChatGPT tiers) than to human tutors, teachers’ aides, or enrichment programs. They’re using AI at higher rates because it’s available when other support isn’t.
The College Board finding that higher-achieving students also use AI at higher rates contradicts the “AI is for lazy students” framing that dominates teacher discourse. Students with the highest test scores and strongest academic engagement are also the most active AI users. The relationship between academic capability and AI use appears to be complementary, not inverse. High-achieving students use AI as one tool among many; lower-achieving students may use it as a primary resource — a distinction the usage statistics alone cannot capture.
AI Cheating Statistics in Education
How Common Is Academic Misconduct Using AI?
| Metric | Value | Source |
|---|---|---|
| US teens who think AI cheating is “at least somewhat often” at school | 59% | Pew Research Center, Oct 2025 |
| US teens who think AI cheating happens “very or extremely often” | ~34% | Pew Research Center |
| Students who’ve used AI chatbots for school and perceive cheating as common | 76% | Pew Research Center |
| Students who consider getting direct homework answers from AI to be cheating | 45% | RAND Dec 2025 |
| Students who do NOT consider understanding an assignment via AI to be cheating | 80% | RAND Dec 2025 |
| UK undergraduates who directly included AI-generated text in assessed work | 12% | HEPI/Kortext 2026 (up from 3% in 2024) |
| College students who said they used AI to complete assignments for them | 25% | Inside Higher Ed 2025 survey |
| College students who said they used AI to write full essays | 19% | Inside Higher Ed 2025 |
| Teachers detecting or suspecting AI use in student work | 62–68% | AllAboutAI analysis of multiple surveys |
| Students who worry about being falsely accused of AI cheating | 50% | RAND spring 2025 (n=nationally representative) |
The 50% false-accusation worry figure from RAND’s spring 2025 schools survey is the one that should concern educators most. Half of all students — including students who are using AI legitimately for research and brainstorming — are anxious about being accused of a violation they haven’t committed. That anxiety produces predictable consequences: students use less AI for genuine learning purposes, or they become more covert about legitimate AI use, or they become cynical about academic integrity systems in general. The policy failure isn’t just on the “we haven’t banned enough” side — it’s equally on the “we haven’t defined acceptable use clearly enough” side.
The UK HEPI 2026 finding that directly included AI text rose from 3% in 2024 to 12% in 2026 — a four-fold increase in two years — is the clearest signal of where the trajectory is heading. Even if the vast majority of students are using AI for legitimate purposes, the minority who are submitting AI-generated text is growing rapidly. Detection tools are an imperfect response: RAND’s spring 2025 survey found that only 34% of teachers reported having school or district policies on AI and academic integrity, and multiple studies have shown that AI detection tools have both high false-positive rates (flagging human writing as AI) and high false-negative rates (missing AI-generated text that was lightly edited).
The Cheating Definition Gap
The most practical insight from all academic integrity research is not how much AI cheating is occurring but how different the definitions are across students, teachers, and institutions. Axis Intelligence Research identifies four distinct zones based on RAND and Pew data:
Zone 1 — Uncontested legitimate use (>80% of students say not cheating): Using AI to understand an assignment, get concept explanations, find sources.
Zone 2 — Contested legitimacy (45–80% say not cheating): Brainstorming ideas with AI, using AI to edit or revise writing, asking AI for feedback.
Zone 3 — Contested misconduct (45–55% say this is cheating): Getting direct homework answers, having AI solve math problems step-by-step.
Zone 4 — Uncontested misconduct (<20% say not cheating): Having AI write a full essay or assignment and submitting it as original work.
Most institutional AI policies written in 2024 and 2025 address Zone 4 clearly and Zones 1–3 inadequately or not at all. Students are living in Zones 2 and 3 every day without guidance.
AI Homework Statistics by Country and Region
Global Student AI Usage for Schoolwork
| Country/Region | AI Schoolwork Usage | Source |
|---|---|---|
| United Kingdom (undergraduates) | 94% used genAI for assessed work (2026) | HEPI/Kortext 2026 |
| United Kingdom (undergraduates) | 88% used genAI for assessments (2025) | HEPI/Kortext 2025 |
| Global university students (16 countries) | 86% use AI in studies | Digital Education Council |
| United States (high schoolers) | 84% used genAI for schoolwork (May 2025) | College Board |
| United States (grades 6–college) | 62% used AI for homework (Dec 2025) | RAND |
| United States (teens 13–17) | 54% used AI for schoolwork | Pew Research Center |
| Australia (4 universities survey) | 80%+ used AI tools for studies | Multiple sources |
| China (university students) | Higher genAI pervasiveness than US | Stanford HAI |
| India | Growing rapidly; language-model access key driver | Industry estimates |
| United States (children 10–12) | 20% had genAI apps on device | JAMA Network Open |
The UK data represents the most longitudinal and consistent source for tracking adoption over time. Three consecutive annual HEPI/Kortext surveys (2024, 2025, 2026) using consistent methodology show: 66% → 92% → 95% any AI use; 53% → 88% → 94% for assessed work. No other survey series tracks the same population with this methodological consistency over this timeframe. That trajectory — essentially flat from 2025 to 2026 at near-universal levels — indicates the UK undergraduate market has reached saturation. The question for UK institutions is no longer adoption rate but quality and integrity of use.
The China comparison from Stanford HAI’s 2025 AI Index merits specific attention. Chinese university students show higher GenAI pervasiveness in coursework than U.S. students, reflecting both China’s own frontier AI model availability (DeepSeek, Kimi, Qwen) and a cultural context where AI use in academic work carries less stigma. Chinese educational institutions have been more directive about AI integration into curricula than U.S. institutions, which may account for the usage intensity.
Teacher Perspectives and School AI Policy Statistics
What Are Schools and Teachers Doing About Student AI Use?
| Metric | Value | Source |
|---|---|---|
| US school districts with AI policies | 34% | RAND spring 2025 survey |
| US schools with AI/academic integrity policy | 45% | RAND spring 2025 (principals) |
| US teachers with school AI policy | 34% | RAND spring 2025 |
| Students taught by teachers how to use AI | 20% | RAND (80% NOT taught) |
| US district leaders providing AI training to students | 35% | RAND spring 2025 |
| UK students whose institution has a “clear” AI policy | 80% | HEPI/Kortext 2025 |
| UK institutions providing AI tools to students | 38% | HEPI/Kortext 2026 (up from 9% in 2024) |
| Teachers who use AI at least weekly | 61% (US, 2025) | Gallup/Walton Family Foundation |
| Teachers who’d never tried AI tools | 71% | SchoolAI research |
| Hours saved per week by teachers using AI weekly | 5.9 hours | Gallup/Walton Family Foundation 2025 |
| Teachers detecting/suspecting AI in student work | 62–68% | AllAboutAI aggregation |
| US teachers believing AI harms education more than helps | 25%+ | Multiple surveys |
| K-12 teachers believing AI does more good than harm | Only 6% | National survey |
| Private schools permitting genAI | 2× more likely than public schools | College Board |
The most striking finding in the teacher data comes from the College Board’s December 2025 follow-up survey: private high schools are more than twice as likely as public schools to both permit generative AI use and have policies governing it. Public schools serving the highest proportions of low-income students are the least likely to have AI policies in place. The demographic inversion is stark: the students who rely most heavily on AI (low-income households, per Pew) are least likely to be attending schools where that AI use is governed, taught, or structured.
The 5.9 hours per week figure for teachers who use AI weekly — from Gallup and Walton Family Foundation’s 2025 survey of 2,232 U.S. public school teachers — is frequently cited in arguments for AI adoption in education. It is worth noting that this represents approximately six weeks of additional time reclaimed over a school year when extrapolated. Teachers redirect that time toward direct student interaction. This is the strongest argument for structured AI adoption rather than reactive prohibition: if teacher capacity is liberated, student outcomes improve through more personal attention, not less.
Student Attitudes Toward AI in Education
Do Students Think AI Helps or Hurts Their Learning?
| Metric | Value | Source |
|---|---|---|
| Students who believe AI use harms critical thinking | 67% (Dec 2025) | RAND American Youth Panel |
| Same metric 10 months earlier | 54% (Feb 2025) | RAND American Youth Panel |
| Female students who believe AI harms critical thinking | 75% | RAND Dec 2025 |
| Male students who believe AI harms critical thinking | 59% | RAND Dec 2025 |
| UK students who think using AI is “essential” | 67% | HEPI/Kortext 2025 |
| UK students who had received AI training from institution | 36% | HEPI/Kortext 2025 |
| Students who agreed AI can benefit learning | 85% | College Board May 2025 |
| Students concerned about becoming too AI-dependent | 49% | HEPI 2025 |
| Students worried AI could reduce critical thinking | 59% | HEPI 2025 / Turnitin analysis |
| US students who consider AI essential for future success | 65% | Multiple surveys |
| UK students who say AI improved their student experience | 49% | HEPI/Kortext 2026 |
| Students with high confidence in their own chatbot skills | ~25% | Pew Research Center |
The 13-point jump in critical thinking concern from February to December 2025 (54% → 67%) among U.S. students using AI is one of the most analytically valuable trends in the dataset. It shows a population that is increasingly self-aware about its own AI dependency — and still using it. This isn’t irrationality. It’s a rational response to an environment where AI is ubiquitous, peers are using it, teachers haven’t taught alternatives, and the benefit (faster homework completion) is immediate while the cost (diminished cognitive development) is diffuse and long-term.
The female/male divergence in critical thinking concern (75% vs 59%) replicates the pattern from the HEPI UK data: women in both systems are more worried about academic misconduct and about AI’s effects on learning development, while men report more enthusiasm. This gap appears consistently across surveys and countries, suggesting it reflects something about how AI tools interact with existing educational confidence structures rather than access or capability differences.
AI in Education Market Size Statistics
How Big Is the AI Education Market?
| Metric | Value | Year | Source |
|---|---|---|---|
| Global AI in education market size | $5.47 billion | 2024 | Multiple market research |
| Global AI in education market size | $7.57 billion | 2025 | Digital Education Council projections |
| Global AI in education market CAGR | 38.4% | 2025–2026 | Market research aggregation |
| AI in education market projected | $32.27 billion | 2030 | SchoolAI / market research |
| AI in education market projected | $112.3 billion | 2034 | Multiple sources |
| Intelligent tutoring systems market | Largest AI-ed segment | 2025 | Multiple |
| AI tutoring study outcome vs traditional classroom | +54% test scores | 2025 Harvard study | Scientific Reports RCT |
| AI tutoring vs active learning effect size | 0.73–1.3 standard deviations | 2025 | Scientific Reports |
| Georgia State University AI intervention | 250,000+ targeted interventions | 2024–2026 | Institution reported |
| Georgia State graduation rate improvement | +7 percentage points | 2024–2026 | Institution reported |
The 38.4% CAGR figure represents the investment side of AI in education — the capital flowing into intelligent tutoring systems, learning management system AI integrations, and assessment platforms. The usage statistics documented earlier represent the student-side adoption. The two are growing simultaneously but not at matched rates: student usage is accelerating faster than institutional AI procurement, because student access largely goes through free consumer tools (ChatGPT, Gemini) rather than licensed educational platforms.
The Harvard 2025 study in Scientific Reports — a randomized controlled trial that found AI tutoring produced 54% higher test scores compared to traditional instruction and an effect size between 0.73 and 1.3 standard deviations — is the strongest single-study evidence for AI’s educational potential. It’s worth applying the Jennifer Miller standard here: this is a randomized controlled trial, not a correlational survey, and the effect size is genuinely large. But it compares AI tutoring to “traditional instruction” — lecture-style passive learning — not to the best available pedagogical alternatives. AI tutoring outperforms a lecture. The question of whether it outperforms engaged small-group instruction or expert one-on-one human tutoring is a separate research question that hasn’t been answered cleanly.
Methodology
Axis Intelligence Research collected data from primary institutional research exclusively. The four main sources are:
RAND Corporation — American Youth Panel (nationally representative U.S. sample, multiple waves 2025–2026), spring 2025 schools survey. All RAND education reports available at rand.org. Surveys are peer-reviewed and methodologically transparent.
Pew Research Center — Survey of 1,458 U.S. teens ages 13–17 and their parents, conducted October 2025 by Ipsos via KnowledgePanel. Published February 24, 2026. Margin of error ±3.3 percentage points.
College Board — High School Student Survey: January, February, March, and May 2025 administrations. More than 10,000 student, parent, and teacher survey responses June 2024–June 2025. Largest single-organization student sample on genAI use for homework.
HEPI/Kortext — Student Generative AI Survey, published annually. 2025 edition: 1,041 full-time UK undergraduates, December 2024, conducted by Savanta. 2026 edition: 1,054 students, December 2025. Three-year longitudinal consistency makes this the most comparable trend data in any national system.
SAUI™ Calculation: The Student AI Usage Index uses homework usage rates from primary survey data, daily use rates from Pew Research Center and HEPI, tool diversity from Digital Education Council’s Global AI Student Survey, and policy gap figures from RAND spring 2025 schools survey. The normalization factor (÷100) is applied to produce readable scores on a 0–50 scale.
Limitations: Different surveys use different question framings, age ranges, and education levels. Cross-survey comparisons should be treated as directional rather than precise. All usage figures are self-reported except the JAMA Network Open device-behavior study (February 2026). Self-reported AI use may be subject to social desirability bias in both directions: underreporting where AI use is stigmatized, overreporting where it is normalized.
Data as of: June 25, 2026. HEPI 2026 survey data (December 2025 fieldwork) is the most recent primary source included.
About This Dataset
This dataset covers student AI usage for homework across six primary survey series (2023–2026), the SAUI™ metric, cheating perceptions, teacher attitudes, tool-level usage, demographic breakdowns, and school policy adoption. Dataset updated semi-annually following major survey publications.
License: Creative Commons Attribution 4.0 International (CC BY 4.0).
Suggested citation (APA): Axis Intelligence Research. (2026, June 25). AI in Education Statistics 2026: Student Homework Usage, Cheating & Policy Data. Axis Intelligence. https://axis-intelligence.com/ai-in-education-statistics/
Suggested citation (MLA): Axis Intelligence Research. “AI in Education Statistics 2026: Student Homework Usage, Cheating & Policy Data.” Axis Intelligence, 25 June 2026, axis-intelligence.com/ai-in-education-statistics/.
Suggested citation (Chicago): Axis Intelligence Research. “AI in Education Statistics 2026: Student Homework Usage, Cheating & Policy Data.” Axis Intelligence, June 25, 2026. https://axis-intelligence.com/ai-in-education-statistics/.
Cite This Research
<blockquote>
<p>Axis Intelligence Research. (2026). <em>AI in Education Statistics 2026: Student Homework Usage, Cheating & Policy Data</em>. Axis Intelligence.</p>
<p>Retrieved from <a href="https://axis-intelligence.com/ai-in-education-statistics/" rel="dofollow">https://axis-intelligence.com/ai-in-education-statistics/</a></p>
</blockquote>
Frequently Asked Questions
How many students use AI for homework in 2026?
As of December 2025, 62% of U.S. middle school, high school, and college students use AI for homework help, per the RAND Corporation’s American Youth Panel (n=1,214). Among high schoolers specifically, 84% used generative AI for schoolwork by May 2025, per the College Board. In the UK, 94% of full-time undergraduates used generative AI for assessed work in 2025, per the HEPI/Kortext Student Generative AI Survey 2026.
What percentage of students use ChatGPT for homework?
Among U.S. teens ages 13–17, 59% have used ChatGPT specifically, per the Pew Research Center October 2025 survey. Among U.S. high schoolers, 69% reported using ChatGPT for school assignments, per the College Board May 2025 study. Globally, ChatGPT is used by 66% of university students for academic purposes, per the Digital Education Council’s survey of 3,839 students in 16 countries.
Do students who use AI for homework cheat?
The definition of cheating varies significantly across students, teachers, and institutions. Per RAND’s December 2025 data: 80% of students do not consider using AI to understand an assignment to be cheating; 45% consider getting direct homework answers to be cheating; 12% of UK undergraduates directly included AI-generated text in assessed work in 2025 (HEPI/Kortext 2026), up from 3% in 2024. Meanwhile, 50% of U.S. students worry about being falsely accused of AI cheating they didn’t commit.
What do students use AI for in school?
The most common uses per RAND Corporation December 2025 data: getting better explanations of assignments (38%), brainstorming ideas (35%), looking up facts (33%), and drafting or revising writing (33%). Pew Research Center found 40%+ use AI to research topics, solve math problems, and summarize articles. The College Board found the most common high school uses are brainstorming, editing essays, and conducting research.
How fast is student AI homework use growing?
Extremely fast by any historical benchmark. U.S. high school student use of ChatGPT for schoolwork went from 13% (Fall 2023) to 26% (January 2025) to 84% (May 2025) — a 547% increase among high schoolers in approximately 24 months. RAND’s American Youth Panel data shows homework AI use among grades 6–college rose from 48% to 62% in just seven months (May to December 2025).
Do schools have policies about students using AI for homework?
As of spring 2025, only 34% of U.S. school districts have AI policies, per the RAND Corporation’s nationally representative spring 2025 survey. Forty-five percent of U.S. school principals report having school or district guidance on AI. In the UK, 80% of universities had clear AI policies per HEPI 2025. In contrast, 80% of U.S. students were never taught by a teacher how to use AI for schoolwork, per RAND. The policy gap between actual student AI use and institutional governance is the defining structural challenge in education AI in 2026.
Does AI help or hurt student learning?
Evidence is mixed and depends on how AI is used. A 2025 Harvard randomized controlled trial published in Scientific Reports found AI tutoring produced 54% higher test scores versus traditional instruction. The RAND Corporation found 67% of students believe AI use harms critical thinking (December 2025). Forty-nine percent of UK students worry about becoming too dependent on AI (HEPI 2025). Students appear to be aware of both the short-term productivity benefit and the potential long-term cost to their own development.
What is the SAUI™ metric for student AI use?
The Student AI Usage Index (SAUI™) is an original metric by Axis Intelligence Research: (Homework_Rate% × Daily_Use% × Tool_Diversity) ÷ (Policy_Gap% × 0.1) ÷ 100. It measures the depth and structure of student AI adoption. The counter-intuitive finding: UK undergraduates (SAUI™ 31.8) show deeper and more structured AI use than U.S. high schoolers (SAUI™ 15.8) — and UK undergraduates have better-defined institutional policies. Clearer policies produce more structured use, not less use.
Which demographic groups use AI most for homework?
Students in lower-income households use AI more intensively for completing homework — 20% of teens in households under $30,000/year use AI for all or most homework, versus 7% in households over $75,000, per Pew Research Center. Black and Hispanic teens are 12% more likely than white peers to use AI for all or most schoolwork. Male students use AI for homework more frequently than female students. Students who study more hours per night (3–4 hours) also use AI at higher rates (72%) than those studying less (61%).