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Does tutoring help students catch up?

Tutoring usually helps students who are behind, but how much it helps depends on the format, subject, and group.

Updated 7 hours ago6 min readVersion 3
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Covers: Covers evidence on whether tutoring improves academic outcomes for students who are behind, including effects by subject, age, and tutoring format. Does not cover private tutoring for enrichment or test preparation.

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The short answer

Interpretation AI-organised, reviewed

Tutoring generally produces positive, educationally meaningful gains for students who are behind, though the size of the benefit varies widely by format, subject, and population. Across the strongest syntheses, effects range from roughly g = 0.33 for peer tutoring in mathematics to g = 0.58 for peer tutoring with emergent bilinguals, with tutoring for low-SES students averaging ES = 0.36 and peer tutoring for tutors themselves averaging 0.43. Newer evidence adds nuance: an online reading intervention for struggling fifth- and sixth-graders delivered by lay tutors showed moderate but non-significant effects on decoding and rapid naming, and a large UK catch-up scheme drew criticism over cost and efficiency.123456

What this rests on9 independent sources · 2 versions
  • Evidence 25
  • Interpretation 2

In brief

  1. Tutoring generally helps students who are behind, with average effects in the range of roughly 0.33 to 0.58 standard deviations across peer tutoring, volunteer tutoring, and tutoring for low-SES students.124

    Interpretation
  2. Tutors benefit too: peer tutoring raised tutors' own achievement with a weighted mean effect size of 0.43.3

    Evidence-backed
  3. Design matters: structured programs, well-prepared tutors, and consistent session schedules are associated with stronger results, while some variables like tutee age and session length show no consistent moderating effect.13

    Evidence-backed
  4. Remote tutoring by phone produced large, cost-effective gains in five emergency settings, but text-message delivery was inconsistent.7

    Evidence-backed
  5. Benefits are not guaranteed for every group: one pilot found second-grade reading tutees improved more slowly than untutored peers, evidence for secondary students and mathematics for emergent bilinguals is limited, and an online lay-tutor reading pilot for adolescents found only non-significant gains.825

    Evidence-backed

At a glance

The picture in numbers

Live · updated just now

Standard deviations of academic gain
  • Peer tutoring in maths0.3 standard deviations
  • Tutoring for low-SES students0.4 standard deviations
  • Peer tutoring for tutors0.4 standard deviations
  • Peer tutoring for emergent bilinguals0.6 standard deviations
Effect sizes for different tutoring approaches123456
Meta-analysis of 50 independent studies

88%

88 in every 100

of peer tutoring maths programs had positive effects on performance1
76% were randomized controlled trials

101 studies

101 studies: studies in the low-SES tutoring review4

The evidence behind it

9 sources
  • Reviews of many studies4
  • Other studies and data4
  • Background1

When it was published

Newest from 2026

20092026
Sources on this page by kind and year
SourceKindYear
Peer Tutoring and Academic Achievement in Mathematics: A Meta-AnalysisReviews of many studies2017
A Meta‐Analysis on the Effects of Peer Tutoring on Emergent Bilinguals’ Academic AchievementOther studies and data2025
An updated meta-analysis on the effect of peer tutoring on tutors’ achievementReviews of many studies2018
The Effectiveness of Volunteer Tutoring Programs for Elementary and Middle School Students: A Meta-AnalysisReviews of many studies2009
Academic Interventions for Elementary and Middle School Students With Low Socioeconomic Status: A Systematic Review and Meta-AnalysisReviews of many studies2017
Mobile education builds resilience during shocks in five countries.Other studies and data2026
High-Impact Tutoring to Accelerate Learning for Intermediate Students: A Pilot StudyOther studies and data2025
National Tutoring Programme (Wikipedia)BackgroundUnknown
Feasibility and Effectiveness of an Adolescent Glass-Analysis Reading Intervention Delivered Online by Lay Tutors.Other studies and data2026

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What it means for you

Which fits you?

Pick the situation closest to yours. Each answer says what it rests on.

If you are choosing a tutoring program for a student who is behind in mathematics

peer tutoring has the strongest evidence base, with 88% of 50 studied programs showing positive effects and an average effect size of about 0.331

Evidence-backed

If the student is an emergent bilingual learning to read

peer tutoring shows a moderate effect (g = 0.62) on reading outcomes, though most evidence comes from elementary-aged Spanish-speaking students2

Evidence-backed

If the student comes from a low-socioeconomic background

tutoring is among the most effective interventions studied, with an average effect size of 0.36 on standardized reading and mathematics tests4

Evidence-backed

If you are designing a peer tutoring program

structured sessions, same-age non-reciprocal pairing, same-sex dyads, and tutors with stronger subject knowledge are associated with better outcomes3

Evidence-backed

If in-person tutoring is not possible due to disruption or distance

phone-call tutorials showed large, robust, and highly cost-effective learning gains across five countries, while text-message delivery was inconsistent7

Evidence-backed

If the student is in grade 2 and receiving reading tutoring

one pilot found these students improved faster than the norming sample but slower than untutored peers, so monitor progress closely8

Evidence-backed

If you want to support both tutees and tutors academically

peer tutoring also raised tutors' achievement, with a weighted mean effect size of 0.433

Evidence-backed

If the student is in secondary school or needs mathematics support as an emergent bilingual

evidence is limited in these areas, so treat claims of effectiveness with more caution; an online lay-tutor reading pilot for adolescents found only moderate, non-significant gains25

Evidence-backed

The full story · 2 chapters

01

What the evidence shows

AI summary:Meta-analyses and trials show positive effects for peer tutoring, emergent bilinguals, low-SES students, tutors themselves, and remote phone tutoring.

Evidence-backed

Evidence-backed: A meta-analysis of 50 independent studies of peer tutoring in mathematics found that 88% of programs had positive effects on participants' academic performance, with an overall effect size of Hedge's g = 0.333. Age of participants, tutor/tutee roles, tutee risk status, and session length and frequency were not significant moderators, while educational stage, program duration, tutor knowledge level, time of day, and sample size were.1

Evidence-backed

Evidence-backed: For emergent bilingual students, a meta-analysis of 14 studies published between 2010 and 2021 found peer tutoring produced a moderate effect on academic outcomes (g = 0.58, 95% CI = 0.22–0.94), with reading outcomes showing a similar moderate effect (g = 0.62, 95% CI = 0.24–1.00). Most studies involved elementary-aged, Spanish-speaking students; preschool, secondary, and mathematics outcomes were thinly covered.2

Evidence-backed

Evidence-backed: Tutoring also appears to benefit the tutors. An updated meta-analysis of 16 articles found a weighted mean effect size of 0.43 (p < 0.001) on tutors' academic achievement, with optimal conditions including tutees of low academic ability, secondary-school tutors, structured peer tutoring, same-age non-reciprocal pairing, and same-sex dyads.3

Evidence-backed

Evidence-backed: For students from low socioeconomic backgrounds, a systematic review of 101 studies (76% randomized controlled trials, 2000–2014, OECD and EU countries) found tutoring had an average effect size of 0.36 on standardized mathematics or reading tests — larger than feedback and progress monitoring (0.32) or cooperative learning (0.22), and statistically significant and robust.4

Evidence-backed

Evidence-backed: Volunteer tutoring for US public-school students in grades K–8 also shows positive effects. A meta-analysis of 21 studies (28 study cohorts) of randomized field trials found tutored students were likely to score higher on assessments of letters and words, oral fluency, and writing than untutored peers.9

Evidence-backed

Evidence-backed: In emergency settings, five randomized trials in India, Kenya, Nepal, the Philippines, and Uganda tested remote targeted tutoring. Phone-call tutorials showed large, robust learning effects across diverse settings and were highly cost-effective, delivering roughly four years of high-quality instruction per US$100 spent; text-message delivery had mixed results. Effects held whether delivered by government teachers or NGO instructors.7

Evidence-backed

Evidence-backed: A pilot study of small-group tutoring by preservice teachers for grades 2–5 found that fourth- and fifth-grade mathematics tutees and third-grade reading tutees grew faster than non-tutored peers. Second-grade reading tutees improved faster than the norming sample but slower than non-tutored peers.8

Evidence-backed

Evidence-backed: An online analytic phonics intervention delivered by lay tutors to fifth- and sixth-grade struggling readers (N = 34, alternately assigned to intervention or waitlist control) ran for 11–19 weeks. Tutors reached high fidelity, technological barriers were minimal, and retention was high. Moderate effect-size differences favouring the intervention appeared for decoding and rapid automatised naming, but none were statistically significant; the study was designed with low statistical power.5

Evidence-backed

Evidence-backed: The UK's National Tutoring Programme, announced in June 2020 and launched that November as part of a £1.7 billion catch-up fund, outsourced tutoring of school children to 33 organisations, most of them private companies. It attracted criticism over cost, claimed inefficiency, and the use of children as tutors.6

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02

How format and context matter

AI summary:Structured programs, well-prepared tutors, and phone delivery help; some groups and formats show weak or negative results.

Evidence-backed

Evidence-backed: The evidence points to several design features that appear to matter. For peer tutoring, structured programs, same-age non-reciprocal pairing, same-sex dyads, and tutors with stronger subject knowledge are associated with better outcomes, while shorter, more frequent tutor training sessions and more weekly tutoring sessions of longer duration were also identified as optimal. Time of day (school vs out of school) and program duration were significant moderators in mathematics peer tutoring.31

Evidence-backed

Evidence-backed: Delivery mode matters too. In emergency remote-learning trials, phone-call tutorials produced large effects while text messages were inconsistent, and effects were similar whether instructors came from government or NGOs.7

Evidence-backed

Evidence-backed: Subject and grade interact with results. Mathematics peer tutoring shows consistent positive effects across stages, reading tutoring shows moderate effects for emergent bilinguals, and volunteer tutoring improves early literacy subskills such as letters, words, oral fluency, and writing. The one negative signal — second-grade reading tutees progressing slower than untutored peers — suggests that younger students or certain program designs may not always benefit.1298

Evidence-backed

Evidence-backed: Newer evidence extends the picture to online delivery and large-scale programmes. An online phonics intervention for adolescent struggling readers, delivered by lay tutors with high fidelity and minimal technological barriers, showed moderate but non-significant gains in decoding and rapid naming in a small low-powered pilot. Separately, a national catch-up scheme in the UK outsourced tutoring to 33 organisations, mostly private companies, and drew criticism over cost, claimed inefficiency, and the use of children as tutors — though its learning outcomes are not reported in the available material.56

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Sources

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  1. 1
    Peer Tutoring and Academic Achievement in Mathematics: A Meta-Analysis
    Eurasia Journal of Mathematics Science and Technology Education (Alegre et al.)Published Nov 6, 2017Checked Oct 3, 2026
    “A meta-analysis of findings from 50 independent studies of peer tutoring programs in Mathematics at multiple educational stages showed that 88% of these programs have positive effects on the academic performance of the participants (Hedge’s g = 0.333). Some of the variables to be taken into account when developing a peer tutoring experience were analyzed. Results showed that variables such as the ages of the participants, roles, skills of the tutees (disabled or at academic risk vs non-disabled and not at academic risk), length of the sessions and frequency were not significant moderators of the academic achievement. Variables such as educational stage, design of the study, duration of the program, level of knowledge of the tutors, time of the day (school time vs out of school time) and sample size turned out to be significant moderators. Results are discussed and proposals for future research are suggested.”
  2. 2
    A Meta‐Analysis on the Effects of Peer Tutoring on Emergent Bilinguals’ Academic Achievement
    Psychology in the Schools (Romero et al.)Published Feb 19, 2025Checked Oct 3, 2026
    “Fourteen studies, including peer‐reviewed journal articles and unpublished dissertations published between 2010 and 2021, were analyzed based on study characteristics, student variables, and intervention characteristics. The findings indicate that peer tutoring yielded a moderate effect size (g = 0.58, 95% CI = 0.22–0.94) on EBs’ academic outcomes. The majority of studies focused on elementary‐aged students, with significantly fewer studies addressing preschool or secondary‐level EBs. Nearly all studies involved Spanish‐speaking students (n = 14), and most targeted reading outcomes demonstrated a moderate effect size (g = 0.62, 95% CI = 0.24–1.00). Only a limited number of effects came from studies involving EBs with disabilities. These findings underscore the potential of peer tutoring to support reading development among EBs while highlighting critical research gaps, particularly at the secondary level and in core content areas such as mathematics. Implications for practice and directions for future research are discussed.”
  3. 3
    An updated meta-analysis on the effect of peer tutoring on tutors’ achievement
    School Psychology International (Leung)Published Oct 30, 2018Checked Oct 3, 2026
    “Some previous analyses are dated and have methodological or theoretical limitations. Hence, there is a compelling need to fill this gap by conducting an updated and comprehensive meta-analysis for identifying certain determinants of best practices for peer tutoring on tutors’ academic achievement in the present study. Additionally, role theory and equity theory in peer tutoring were tested. The present meta-analytic study examined 16 articles using The comprehensive meta-analysis software programme and SPSS macro for analyses. It was found that the weighted mean effect size was 0.43 ( p < 0.001). Moreover, the crucial parameters for optimizing the effectiveness of peer tutoring interventions are identified as follows: Tutees with low academic ability; tutors coming from secondary school; fewer tutor training sessions per week; shorter tutor training time per session; choosing mathematics as subject content; random assignment of tutees and tutors; structured peer tutoring; same-age non-reciprocal peer tutoring; same-sex dyad grouping; and more weekly tutoring sessions but longer tutoring time for each session.”
  4. 4
    Academic Interventions for Elementary and Middle School Students With Low Socioeconomic Status: A Systematic Review and Meta-Analysis
    Review of Educational Research (Dietrichson et al.)Published Jan 24, 2017Checked Oct 3, 2026
    “Socioeconomic status is a major predictor of educational achievement. This systematic review and meta-analysis seeks to identify effective academic interventions for elementary and middle school students with low socioeconomic status. Included studies have used a treatment-control group design, were performed in OECD and EU countries, and measured achievement by standardized tests in mathematics or reading. The analysis included 101 studies performed during 2000 to 2014, 76% of which were randomized controlled trials. The effect sizes (ES) of many interventions indicate that it is possible to substantially improve educational achievement for the target group. Intervention components such as tutoring (ES = 0.36), feedback and progress monitoring (ES = 0.32), and cooperative learning (ES = 0.22) have average ES that are educationally important, statistically significant, and robust. There is also substantial variation in effect sizes, within and between components, which cannot be fully explained by observable study characteristics.”
  5. 5
    Feasibility and Effectiveness of an Adolescent Glass-Analysis Reading Intervention Delivered Online by Lay Tutors.
    Dyslexia (Chichester, England) (Durisko et al.)Published Aug 1, 2026Checked Oct 4, 2026
    “These concerns motivate the present pilot study, which adapts the Glass-Analysis programme, a theoretically distinctive analytic phonics intervention, for online delivery by lay tutors. Fifth- and sixth-grade students (N = 34) with poor reading skills were alternately assigned to an intervention or waitlist control group. Intervention participants completed individualised sessions over 11-19 weeks. The Woodcock Reading Mastery Test (WRMT-III) and Test of Word Reading Efficiency (TOWRE-2) were used to measure changes in reading skills. Tutors reached high fidelity at the end of training; technological barriers were minimal, and tutor and participant retention was high. Moderate effect size differences between the intervention and waitlist control group were observed for measures of decoding and rapid automatised naming, but the study was designed with low statistical power and none of the observed group differences were significant. We conclude the Glass-Analysis programme holds promise as a scalable and accessible reading intervention for adolescent struggling readers and that future work to more definitively test its effectiveness is warranted.”
  6. 6
    National Tutoring Programme (Wikipedia)
    WikipediaPublished Sep 29, 2026Checked Oct 4, 2026
    “The National Tutoring Programme was a UK Government scheme announced in June 2020 and launched in November that year forming part of a £1.7 billion catch-up fund to try to address learning loss during the COVID-19 pandemic. It outsourced the tutoring of school children to 33 organisations, most of them private companies. The scheme attracted criticism over cost, claimed inefficiency, and over the use of children as tutors.”
  7. 7
    Mobile education builds resilience during shocks in five countries.
    Nature (Angrist et al.)Published Sep 9, 2026Checked Oct 3, 2026
    “During these emergencies, alternative models are needed to deliver education. However, rigorous evaluation of effective educational approaches in these settings is challenging and rare, especially across multiple countries. Here we present results from five randomized trials in India, Kenya, Nepal, the Philippines and Uganda to evaluate the provision of education in emergency settings. We test multiple scalable models of remote targeted tutoring instruction, comparing delivery by governments and non-governmental organizations (NGOs). Whereas text messages have mixed results, tutorials conducted via phone call show effectiveness across diverse settings. We find large and robust effect sizes on learning. These effects are highly cost-effective, and deliver approximately 4 years of high-quality instruction per US$100 spent. Results show large effects when delivered by government teachers or NGO instructors. Together, our results reveal that it is possible to strengthen the resilience of education systems, enabling education provision amid disruptions, and to deliver cost-effective learning gains across contexts and with governments.”
  8. 8
    High-Impact Tutoring to Accelerate Learning for Intermediate Students: A Pilot Study
    Education Sciences (Brodeur et al.)Published Jul 9, 2025Checked Oct 3, 2026
    “High-impact tutoring is a promising way to address reading and mathematics achievement declines following years of pandemic-interrupted schooling. This pilot study seeks to determine the impact of small-group tutoring, provided by preservice teachers, on students in grades 2–5. Using beginning-, middle-, and end-of year benchmark assessments, descriptive statistics were calculated for tutored and non-tutored groups and compared against the norming sample. The results indicate that students receiving mathematics tutoring (fourth and fifth grades) and third-grade students receiving reading tutoring demonstrated growth at rates that exceeded their non-tutored peers. Second-grade students who received reading tutoring improved at a greater rate than the norming sample but less than their non-tutored peers. The results of this pilot study indicate the potential impact of tutoring by preservice teachers on reading and mathematics outcomes for intermediate students.”
  9. 9
    The Effectiveness of Volunteer Tutoring Programs for Elementary and Middle School Students: A Meta-Analysis
    Review of Educational Research (Ritter et al.)Published Mar 1, 2009Checked Oct 3, 2026
    “This meta-analysis assesses the effectiveness of volunteer tutoring programs for improving the academic skills of students enrolled in public schools Grades K–8 in the United States and further investigates for whom and under what conditions tutoring can be effective. The authors found 21 studies (with 28 different study cohorts in those studies) reporting on randomized field trials to guide them in assessing the effectiveness of volunteer tutoring programs. Overall, the authors found volunteer tutoring has a positive effect on student achievement. With respect to particular subskills, students who work with volunteer tutors are likely to earn higher scores on assessments related to letters and words, oral fluency, and writing as compared to their peers who are not tutored.”

How it changed

Published 2 times since Oct 3, 2026.

  1. Version 3Oct 4, 2026Live now

    Added two newer sources: a UK National Tutoring Programme description and an online lay-tutor reading pilot for adolescents. Expanded the evidence base with these findings, added guidance on online delivery and large-scale programmes, and updated uncertainty and open questions to reflect the thin, mixed evidence for adolescent readers and programme-level implementation.

    • The main finding was rewritten.
    • Updated “What the evidence shows”.
    • Updated “How format and context matter”.
  2. Version 2Oct 3, 2026

    AI-prepared Starting Map from live research.

    • First published version.
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Open questions

  • How effective is peer tutoring for secondary-level students and for mathematics outcomes among emergent bilinguals, where evidence is currently thin?

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  • Do the academic gains from tutoring persist after the program ends, and for how long?

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  • Can the large, cost-effective effects seen in emergency remote tutoring be reproduced at scale in ordinary school systems?

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  • Why did second-grade reading tutees in one pilot progress more slowly than untutored peers, and does this reflect age, program design, or measurement?

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  • Does online lay-tutor reading intervention produce significant gains for adolescent struggling readers in adequately powered trials?

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  • What learning outcomes did large national catch-up tutoring schemes such as the UK National Tutoring Programme actually produce, and at what cost per student?

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