A Meta-Analysis of the Effectiveness of Intelligent Tutoring Systems on K–12 Students' Mathematical Learning
Primary school (grades 1–6) Lower secondary (grades 7–9) Upper secondary AI and learning Foundations of optimal learning
Links to claims
Limits (2)
| Claim | Basis |
|---|---|
| C10 | K–12 maths meta (26 reports): tutoring systems vs regular classroom teaching g = 0.01–0.09 overall, 0.02 on standardised tests, 0.01 at end of school year; smaller for low achievers. C5 weakened 2026-10-07 (school-use bound). Moved from C5 to C10 at the split on 2026-10-08 (the school-use bound became C10). |
| C5 | The authors note that VanLehn 2011's near-human-tutor result came from randomised experiments that held content constant, mostly STEM with many college students, using the largest-effect outcome per study; only one small study compared a tutoring system with (small-group) human tutors. Kept on C5 at the split on 2026-10-08 for this point only; the school-use result moved to C10. |
Review state: first-pass draft, pending human review.
Source note
Syntes: Steenbergen-Hu & Cooper (2013) — tutoring systems in K–12 maths classrooms: near-zero average gain over regular teaching
Källa: Steenbergen-Hu, S., & Cooper, H. (2013). A meta-analysis of the effectiveness of intelligent tutoring systems on K–12 students' mathematical learning. Journal of Educational Psychology, 105(4), 970–987. https://doi.org/10.1037/a0032447
Verified numbers (full text read 2026-10-07)
- Corpus: 26 reports (1997–2010), 34 independent samples, K–12 mathematics; most compared ITS with regular classroom instruction (20 of the 31 such studies were Cognitive Tutor, often used ~40 % of class time over a school year); a few compared with homework or human tutoring.
- Overall vs regular classroom instruction: unadjusted g = 0.05 (fixed, 95 % CI .02–.09, p = .005) and 0.09 (random, CI −.03 to .20, p = .136); pretest-adjusted g = 0.01 under both models (not significant). Authors: ITS "had no negative and perhaps a small positive effect".
- Outcome type (fixed effect): course-related measures g = 0.19 (CI .11–.27); standardised tests g = 0.02 (CI −.02 to .06); difference not significant under random effects.
- Timing (fixed effect): measured at end of school year g = .01 (CI −.03 to .04) vs earlier g = .25 (CI .14–.35); not significant under random effects.
- Robust moderators: larger effects for interventions shorter than a school year than for a year or longer; larger for general students than for low achievers.
- vs human tutoring: one small study (Beal et al. 2010, 25 sixth graders, small-group tutors): half-time ITS + tutor ≈ full-time tutor (g = .20, SE .39). Not a test of ITS vs one-to-one tutoring.
- Authors on VanLehn 2011: VanLehn's d ≈ 0.76 came from randomised experiments that held content constant (excluding Cognitive Tutor curriculum studies), across STEM and largely college students, using the largest-effect outcome per study; this meta-analysis included ecologically valid comparisons and averaged all outcomes.
Role for C5
Limits (weaken, 2026-10-07): the near-human-tutor result is from controlled same-content experiments; in routine K–12 maths classroom use over a term or a year, the average gain over regular teaching is near zero (and ≈ 0 on standardised tests and at end of year). Distinct from the Kulik & Fletcher 2016 standardised-test bound (that meta still found a median ~0.66 SD against conventional teaching). Not a kill: VanLehn 2011 and Ma et al. 2014 stand for controlled comparisons, and the meta includes curriculum comparisons in which the ITS was not the only difference.
Split (2026-10-08): the school-use result now belongs to C10 (everyday school use), where the 2026-10-07 ledger entry moved; C5 keeps only the point about VanLehn 2011's inclusion rules and the single small human-tutor comparison.
Metadata as recorded
- ID
- AI-019
- Tier
- meta
- Closed-book follow-up
- n/a (posttests, course outcomes and standardised tests; end-of-year vs earlier measurement coded)
- Titel
- A Meta-Analysis of the Effectiveness of Intelligent Tutoring Systems on K–12 Students' Mathematical Learning
- Författare
- Steenbergen-Hu, S.; Cooper, H.
- År
- 2013 (Journal of Educational Psychology 105(4), 970–987)
- Källa/DOI
- https://doi.org/10.1037/a0032447
- URL
- https://dukespace.lib.duke.edu/server/api/core/bitstreams/f123780d-7d60-48c2-928d-8a4c402366b0/content (Duke repository copy)
- Typ
- meta-analysis, 26 reports (1997–2010), 34 independent samples; mostly ITS vs regular classroom instruction (20 of 31 such studies Cognitive Tutor); fixed- and random-effects models; unadjusted and pretest-adjusted effect sizes
- Åldersgrupp
- grundskola-lag;grundskola-hog;gymnasium (K–12 mathematics)
- Teman
- ai-och-larande;optimalt-larande-grunder
- Hämtad
- 2026-10-07
- Paywall
- APA; repository copy open
The original files (PDF or abstract) are kept in the project archive and are not published here.