Converging AI and Human Roles
Education & Science

AI Tutors: What the Randomized Trials Found, and What They Cost

Randomized trials of AI tutors since 2023 report results that run from large gains in a Harvard physics course to lower grades in a 2026 University of Maryland trial. Here is what each trial tested, who ran and paid for it, and what school systems say they pay for AI tutors.

Illustration: eight randomized trials of AI tutors in five countries, from a six-week after-school program in Nigeria to a semester-long university trial in Maryland, each with its design, sample, result as stated and funder in the table below.

Role scorecard

Tutors SOC 25-3041.00

  • Core tasks AI does in production2 of 8
  • Most mature evidenceIn production
  • CostAbout $48 per student for a 6-week program (World Bank-stated)
  • Benefit0.31 SD higher test scores (World Bank RCT, Nigeria)

As of · Tasks: O*NET 31.01

Core tasks of Tutors and what AI does in each, as of 2026-10-13
Core task (O*NET) What AI or robots do Extent Evidence grade Example case Source
Provide feedback to students, using positive reinforcement techniques to encourage, motivate, or build confidence in students. An AI tool suggests replies, including encouragement and hints, that a human tutor can send, edit or regenerate; in a state pilot, AI tutors gave students immediate feedback on math and writing Assists Pilot Tutor CoPilot (Stanford) with FEV Tutor tutors, randomized trial from March 2024; Indiana Department of Education AI pilot (reported June 2024) 2, 3
Review class material with students by discussing text, working solutions to problems, or reviewing worksheets or other assignments. A chatbot tutor answers students' questions about lessons and assignments, responding with guiding questions rather than answers, with no tutor in the conversation Does it In production Khanmigo (Khan Academy) in every middle and high school of the School District of Palm Beach County since the 2024–25 school year; Arizona Department of Education's statewide Khanmigo program 4, 5
Assess students' progress throughout tutoring sessions. Students take assessments in the AI platform, and teachers use its real-time progress data to group students Assists Pilot Khanmigo in 14 Newark Public Schools North Ward schools, 2024–25 (district-stated; Khan Academy called it a pilot) 6
Provide private instruction to individual or small groups of students to improve academic performance, improve occupational skills, or prepare for academic or occupational tests. A chatbot tutor holds one-to-one tutoring chats with students in class or at home Does it In production Khanmigo at the School District of Palm Beach County ($1,138,000 contract for 2025–26, district-stated); about 16% of Arizona public school students signed up, October 2025 (state-stated) 4, 5
Communicate students' progress to students, parents, or teachers in written progress reports, in person, by phone, or by email. A teacher tool generates an on-demand summary of student work; no operator-confirmed use for progress reports found Not yet Vendor claim Khanmigo teacher tools, "an on-demand summary of student work to assess progress" (Khan Academy pricing page, retrieved 2026-10-13) 7
Identify, develop, or implement intervention strategies, tutoring plans, or individualized education plans (IEPs) for students. Teachers use the AI platform's progress data to form small groups for targeted instruction Assists Pilot Newark Public Schools: "enabling teachers to form small groups and address specific learning needs with Khanmigo's support" (district, November 2024) 6
Prepare lesson plans or learning modules for tutoring sessions according to students' needs and goals. Teachers use AI platforms to draft lesson plans and differentiate content by students' abilities Assists Pilot Indiana AI pilot (112 schools, 36 districts): lesson planning was the most common use in a 625-response teacher survey; Newark teachers "may use Khanmigo to draft ideas for lessons" 3, 6
Develop teaching or training materials, such as handouts, study materials, or quizzes. An AI teacher assistant writes exit-ticket questions, learning objectives and rubrics for teachers Assists Pilot Khanmigo pilot at Hobart schools, Indiana (superintendent-stated, reported June 2024) 3

Extent and grade follow our evidence grades: "Does it" needs a production case where AI performs the task on its own; "Assists" means AI helps a person do it; "Not yet" means only prototypes, vendor claims or nothing. "Does it" means the chatbot conducts some tutoring sessions on its own at the named school systems, not that it replaces tutors there; Arizona's figure counts sign-ups, and the state hasn't said how many students use the tool regularly. The deployment figures are school systems describing their own programs, reported by local news outlets; none has been independently audited. The eight task rows are the core O*NET tasks with the clearest AI cases; O*NET lists 16 core tasks for tutors in all.

Costs and benefits

Nigeria after-school pilot, 6 weeks, 657 studentsAbout $48 per student; marginal cost estimated at $9; $124 per student estimated for a four-quarter program (World Bank researchers; electricity and school infrastructure not included)8
Rori WhatsApp math tutor, GhanaMarginal cost "approximately $5 per student" (study authors, including Rori's maker, Rising Academies)9
Tutor CoPilot, AI usage cost$20 per tutor per year, estimated from $1,419.66 of API costs over the two-month study; excludes tutors' pay (study authors)2
Khanmigo list pricesFree for teachers; $4 a month or $44 a year for learners and families; district pricing on request (Khan Academy, vendor)7
Palm Beach County district contract$2,545,000 in the first year, half covered by a foundation; $1,138,000 for 2025–26 (district-stated, via WPTV)4
Learning gain, Nigeria pilot0.31 standard deviations on the end-of-program test (randomized trial by World Bank researchers; Mastercard Foundation support)8

Seen at work

The School District of Palm Beach County on Khanmigo in its classrooms. Video: School District of Palm Beach County (operator).
Khanmigo in district classrooms, as presented by its maker. Video: Khan Academy (vendor video).

As of · Randomized trials of AI tutors with measured learning outcomes, results as each study states them

Randomized trials of AI tutors and their results as stated, as of 2026-10-13
Study Country Year run Design n (students) AI role Outcome measured Result as stated Funder / authors' affiliation
Edo State after-school pilotMicrosoft Copilot (GPT-4) Nigeria 2024 Student-level lottery among volunteers; 12 sessions over 6 weeks 759 Tutor, with teachers guiding sessions End-of-program test (English, AI and digital skills) +0.31 SD overall; +0.23 SD in English8 World Bank researchers; Mastercard Foundation support
RoriRising Academies Ghana 2023 11 schools randomly assigned; two 30-minute sessions a week for about 8 months 477 Tutor alone (teachers present for technical help) Math growth score, 35-question test Effect size 0.36 (Cohen's d)9 Authors from Rising Academies (maker), University of Oxford, J-PAL North America
Harvard physics AI tutorCustom GPT-4 tutor United States 2023 Crossover: each student had one topic by AI tutor at home, one in class; 2 weeks 194 Tutor alone, compared with in-class active learning Post-test on each lesson's topic Median learning gains "over double"; effect size 0.73 to 1.3 SD (quantile regression)10 Harvard authors; no competing interests declared
GPT Base and GPT TutorGPT-4 Turkey 2023 About 50 classrooms randomly assigned to three arms; four 90-minute sessions Nearly 1,000 Tutor alone during practice; exam taken without AI Unassisted exam GPT Base: 17% lower than control; GPT Tutor: statistically indistinguishable from control11 University of Pennsylvania authors; Wharton research initiatives
Tutor CoPilotStanford, with FEV Tutor United States 2024 Tutors randomly given access; 2 months 1,787 Assists human tutors Exit-ticket pass rate (topic mastery); end-of-year math test +4 percentage points (62% to 66%); end-of-year test: no statistically significant gain2 Stanford authors; Smith Richardson Foundation, Arnold Ventures/Accelerate
LearnLM on EediGoogle, Eedi United Kingdom 2025 Exploratory RCT: static hints vs tutoring; human vs supervised-AI sessions; 7 weeks 165 Drafts tutor messages that a human tutor approves or edits Solving novel problems on later topics 66.2% with supervised LearnLM vs 60.7% with human tutors alone12 Google and Eedi (makers)
Medly in GCSE scienceMedly United Kingdom (England) Published 2026 Individually randomized, multisite; 4 weeks; 30.7% attrition 644 Tutoring platform alone, compared with self-directed revision Curriculum-aligned post-test Hedges' g = 0.3313 Funded by Medly (vendor); run by What Worked Education and Durham University
Course-integrated study assistantGPT-4o with course materials United States 2025 30 instructors randomized within course blocks; one semester 2,379 Tutor access in the course website; about 15% of students used it Final course grade; online course participation Final grades −0.37 SD; participation −0.90 SD (same-course sample)14 University of Maryland authors; no funder named

Rows are randomized or randomly assigned trials of AI tutors that report a learning outcome; results are quoted as each study states them and aren't comparable across rows, because the age groups, subjects, lengths, comparison groups and tests all differ. "n" is the analysed sample where the study gives one; Turkey's is the study's own "nearly 1,000", and Tutor CoPilot's 1,787 is the number of students the district identified (900 tutors were assigned, 782 at launch). Year run is when the trial took place; the Medly paper doesn't date its trial. "Maker-linked" and "Vendor-funded" rows were authored or paid for by the company whose product was tested. The Nigeria figure for English is 0.23 SD in the paper's abstract and 0.24 SD in its introduction; the Harvard team gives 0.63 SD by linear regression and says ceiling effects make it an underestimate.

The analysis

What the trials measured

Since 2023, researchers have run randomized controlled trials of AI tutors built on large language models (LLMs, the text-generating systems behind chatbots such as ChatGPT) in Nigeria, Ghana, the United States, Turkey and England. A randomized controlled trial assigns students, classes or tutors to the AI tool or to a comparison group by lottery, so that differences in results can be put down to the tool. Most of these studies report an effect size in standard deviations (SD): the gap between the groups' scores divided by the spread of scores, which puts different tests on one scale.89

That common unit doesn't make the trials comparable: they ran from two weeks to about eight months, from primary school to university, against comparison groups that got anything from nothing extra to a full class session. The table above therefore lists each result as stated rather than charting or ranking them.

Nigeria: six weeks after school

The trial most often cited for AI tutoring in low-income settings ran in June and July 2024 in nine public schools in Benin City, Edo State. First-year senior secondary students, who are typically 15, were invited to an after-school English program; 52% expressed interest, and a lottery among them assigned 657 to the program and 671 to a control group that "did not receive any intervention but continued their regular learning in the classroom". Students worked in pairs at a shared computer with Microsoft Copilot, then powered by GPT-4, over twelve 90-minute sessions. Teachers guided the sessions but "did not provide direct instruction".8

Of those assigned, 422 program students and 337 control students sat the final test. The World Bank researchers report scores 0.31 SD higher for students selected for the program, 0.24 SD in the English section, and 0.21 SD higher on the schools' own end-of-year English exam, which covered more than the program did. The authors equate the gain to 1.5 to 2 years of "business-as-usual" schooling, and their blog says the program outperformed 80% of the interventions in a comparison set of randomized trials in developing countries.815 They also write that they "cannot isolate the effect of the chatbot alone": the result reflects the whole package of structured prompts, curriculum alignment, teacher support and peer work.16

Ghana and Harvard: AI tutors working alone

In Ghana, Rising Academies, which runs a network of schools there and built the WhatsApp math tutor Rori, randomly assigned 11 of its schools: students in five used Rori for two 30-minute sessions a week during study hall from February to August 2023, while six kept their usual routine. Among the 477 students who sat both tests, the Rori group's scores grew by 5.13 points on a 35-question test against 2.12 for the control group, an effect size of 0.36. The authors, who include Rising Academies staff, call the study preliminary and note it covers the first year only.9

At Harvard, 194 students in an introductory physics course each learned one topic from a custom GPT-4 tutor at home and another in an in-class active-learning session, swapping in the second week. Median post-test scores were 4.5 for the AI lessons and 3.5 for the class sessions, with median learning gains "over double", and the median student spent 49 minutes with the tutor against a 60-minute class. The team puts the effect at 0.73 to 1.3 SD and writes that it does not "presume that structured AI tutoring will always outperform in-class active learning in all contexts".10

When AI access didn't help

Two trials found no gain or a loss. In a large Turkish high school in fall 2023, about 50 math classes were assigned to a ChatGPT-style interface ("GPT Base"), a version prompted to give teacher-designed hints instead of answers ("GPT Tutor"), or no AI. With the tools available, practice scores rose 48% and 127%. On a later exam taken without AI, GPT Base students scored 17% lower than the control group, a statistically significant gap, and GPT Tutor students were "statistically indistinguishable" from it. The authors found that most GPT Base students used the chatbot to get solutions, as a "crutch".11

The newest result comes from the University of Maryland, College Park. In fall 2025, 30 instructors' sections were randomly given a GPT-4o study assistant that draws on each course's own materials. Students with access had final grades 0.37 SD lower in the same-course sample, and their participation in instructor-designed online activities fell by 0.90 SD. Only about 15% of students offered the tool used it at least once, and all students could already use ChatGPT and Gemini through the university. The authors conclude that the tutor "may displace engagement with existing learning activities without improving academic performance".14

AI as the tutor's assistant

Two trials kept a human tutor in every conversation. Tutor CoPilot, built at Stanford, ran from the end of March 2024 for two months with FEV Tutor, a virtual tutoring company, and a large school district in the southern US, serving students in grades 3 to 8 who had scored below grade level. Tutors were randomly given access to a button that drafts a response using a chosen strategy, such as a hint, a worked example or encouragement. Students of tutors with access passed their end-of-lesson exit tickets 66% of the time against 62%, and by 9 percentage points more where tutors had lower quality ratings. The study found no statistically significant improvement in end-of-year math test scores, which the authors attribute partly to the two-month length.2

On Eedi, a UK math platform with remote human tutors, Google's LearnLM model drafted messages in a May–June 2025 trial with 165 students aged 13 to 15. Seventeen expert tutors reviewed every draft before it was sent and approved 76.4% with no or minimal edits. Students in supervised LearnLM sessions solved novel problems on later topics 66.2% of the time, against 60.7% for those tutored by humans alone. The authors, from Google and Eedi, describe it as an exploratory trial.12

Who ran the trials, and who paid

Three of the eight trials were written or paid for by the company whose product was tested. Rising Academies staff co-wrote the Rori study, Google and Eedi wrote the LearnLM study, and Medly paid What Worked Education to evaluate its GCSE science platform; that four-week trial in English secondary schools reported Hedges' g = 0.33 (an effect size in SD with a small-sample correction), with 30.7% attrition and tests aligned to the curriculum rather than standardized.91213 The other five were run by university or World Bank researchers, and they include both the larger positive results (Nigeria, Harvard) and the null or negative ones (Turkey, Maryland). The Nigeria study used a free Microsoft product, and its stated support came from the Mastercard Foundation.8

From trials to classrooms, and the price

School systems have bought AI tutors without waiting for more trials. The School District of Palm Beach County put Khan Academy's Khanmigo, an AI tutor and teacher assistant, into every middle and high school in the 2024–25 school year. It told WPTV the first year cost $2,545,000, half of it covered by the Stiles-Nicholson Foundation, and that it would pay $1,138,000 for 2025–26. "It's a sizable expense for us, but the reach is far," Superintendent Mike Burke said.4 In Arizona, State Superintendent Tom Horne used $1.5 million of federal pandemic relief funds to pay for two years of Khanmigo in some districts; about 16% of the state's public school students had signed up by October 2025, though KJZZ noted it wasn't clear how many used it regularly. "I can't afford 1,200,000 tutors for 1,200,000 students," Horne said.5

Others are still piloting. Newark Public Schools extended Khanmigo from one school in 2023–24 to 13 more North Ward schools in 2024–25, at no cost to the district, and approved a data-sharing agreement with Khan Academy to study its effect; the district had not released that data.6 Indiana's Department of Education ran a nearly $2 million AI pilot grant across 36 districts, funded by a one-time $1.8 million allocation of federal pandemic relief; 20 of the districts chose Khanmigo, and about 53% of 625 teachers surveyed rated the effect on students as positive.3 Estonia's national AI Leap program says its 2025–26 pilot year reaches 154 of the country's 156 upper-secondary schools, 4,800 teachers and 20,000 students, who gain access from January 2026 to an app "intentionally configured not to provide direct answers", built with partners including OpenAI and Google.17

Published prices vary with what's counted: Khanmigo's list price is free for teachers and $44 a year for learners, with district prices given only on request, while the trial cost figures in the scorecard range from AI usage alone to whole programs with staff and training.78 None of the deployment sources above reports a randomized evaluation of that deployment's own learning outcomes.

What it means for the tutor's tasks, by the data

O*NET lists 16 core tasks for tutors, led by giving feedback, reviewing class material and assessing progress. The US had 208,400 tutors in 2025 with a median wage of $43,350, and the Bureau of Labor Statistics projects "little or no change" in employment from 2025 to 2035, with 34,200 openings; the projection doesn't isolate any effect of AI.1

On the graded cases in the scorecard, chatbot tutors conduct sessions on their own in production at two school systems, covering two of the eight tasks: reviewing material and one-to-one instruction. The other cases are AI assisting a teacher or tutor at pilot stage, or, for progress reports, only a vendor's feature description. In the trials, most AI tutoring sessions still had an adult in the room or in the loop: Nigeria's teachers ran the sessions, Eedi's tutors approved each message, and Tutor CoPilot's largest gains came for lower-rated tutors.8122

Sources

  1. O*NET OnLine (U.S. Department of Labor), Summary Report for 25-3041.00, Tutors (O*NET 31.0 tasks; 2025 wages and employment and 2025–2035 projections from the Bureau of Labor Statistics), retrieved 2026-10-13.
  2. arXiv (Stanford University), Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise, version 2, January 26, 2025.
  3. Chalkbeat Indiana, Indiana schools embrace AI, but seek to 'keep humans in the loop', June 17, 2024.
  4. WPTV, Here's how AI is changing the way PBCSD students learn, educators teach, February 19, 2025.
  5. KJZZ, Horne says Arizona students lead AI use. It's for a specific tutoring program the state partners with, October 23, 2025.
  6. Chalkbeat Newark, Newark Public Schools receives $25K grant from Gates Foundation as it expands AI tutor chatbot, November 15, 2024.
  7. Khan Academy, Khanmigo pricing, retrieved 2026-10-13.
  8. World Bank, From Chalkboards to Chatbots: Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria, Policy Research Working Paper 11125, May 2025.
  9. arXiv (University of Oxford, Rising Academies, J-PAL North America), Effective and Scalable Math Support: Experimental Evidence on the Impact of an AI-Math Tutor in Ghana, version 2, May 5, 2024.
  10. Scientific Reports, AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting, vol. 15, article 17458, June 3, 2025 (full text read via PubMed Central).
  11. Proceedings of the National Academy of Sciences, Generative AI without guardrails can harm learning: Evidence from high school mathematics, vol. 122, e2422633122, June 25, 2025 (full text read via PubMed Central).
  12. Google and Eedi (arXiv), AI tutoring can safely and effectively support students: An exploratory RCT in UK classrooms, report dated November 11, 2025.
  13. arXiv (What Worked Education, Durham University), Evaluating AI Tutoring at the Speed of Innovation: Practitioner-Led Micro-Randomised Trials of an AI Tutoring Platform in GCSE Science, September 13, 2026.
  14. Annenberg Institute at Brown University, The Effects of Course-Integrated AI Tutoring on Student Performance and Engagement: A Randomized University Trial, EdWorkingPaper 26-1598, October 2026.
  15. World Bank Blogs, From chalkboards to chatbots: Transforming learning in Nigeria, one prompt at a time, January 9, 2025.
  16. World Bank Blogs, Addressing the learning crisis with generative AI: lessons from Edo State in Nigeria, June 25, 2025.
  17. e-Estonia, AI Leap factsheet, retrieved 2026-10-13.