In the few studies that split by ability, learning techniques helped low-ability students and not high-ability students¶
Claim · All claims
Evidence · 1 study · quant-synthesisr?·q3·i2medium · n=19 studies
Currency · newest study 2021 · checked against its sources 2026-10-16 (automated, 1 of 1 entry) · not reviewed by a person
Whether the ten learning techniques help students of different prior ability equally.
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i2 Across all techniques, the mean effect was d = 0.47 for low-ability students (58 effects, 13 studies) and d = -0.11 for high-ability students (28 effects, 6 studies); high-ability students showed negative effects for interleaved practice and summarization. → Donoghue & Hattie 2021
Evidence¶
Donoghue & Hattie 2021¶
Donoghue, G. M., & Hattie, J. A. C. (2021). A Meta-Analysis of Ten Learning Techniques. Frontiers in Education, 6, 581216. doi:10.3389/feduc.2021.581216
q3 · meta-analysis (19 studies reporting ability) · i2 · medium effect for low-ability students, d = 0.47; d = -0.11 for high-ability · n=19 studies · quant-synthesis · r?
Only 6 of the 242 studies examined high-ability students and 13 low-ability students. Across techniques, low-ability students gained d = 0.47 (SE 0.15, 58 effects) and high-ability students d = -0.11 (SE 0.10, 28 effects), with negative effects for interleaved practice and summarization in the high-ability group.
"Across all techniques, the mean effect on High ability students was -0.11 (SE = 0.10, N = 28) for Low ability students was 0.47, SE = 0.15, N = 58."
Studies bearing on this claim¶
Do structured techniques and guidance help lower-ability learners more than higher-ability ones, narrowing the gap? This table gathers the studies behind this claim and the 7 narrower claims that bear on it: 10 distinct studies (4 quant-synthesis, 4 causal, 2 review), q2–q4, 3 of 10 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.
Discussion¶
This rests on 19 studies and is consistent with expertise-reversal accounts, where support that helps novices is redundant or harmful for more knowledgeable learners. It is a reason to adapt technique prompts to prior knowledge rather than a verdict on any one technique.
Learner Variables¶
- General Cognitive Ability — moderator: an instructional effect differs with it
Related Claims¶
- Across ten learning techniques, distributed practice and practice testing have the largest effects and underlining and summarization the smallest — related
- Mastery learning effects are larger for lower-aptitude students, narrowing the spread of achievement in a class — related
- Advance organizers produce a small average learning benefit, larger for high-ability than for low-ability learners — reports the opposite
- Aptitude-by-treatment interactions for instructional structure show mixed support: crossovers in some studies, nulls in others — related
- Graphic organizers such as concept maps improve comprehension and retention with a medium average effect; that novices benefit more rests on a few small subgroups — related
- Fluency effects of Fluency Formula™ differ by initial ability: positive for low-ability students (effect size 0.66) and negative for high-ability students (effect size –0.21), both non-significant — a narrower finding that bears on this claim
- Ability moderates the hierarchical-organization advantage: low-ability subjects showed no significant benefit, while medium-ability subjects did — related
- In the Bramlett quasi-experiment, no comprehension subtest or ability-level subgroup showed a statistically significant CIRC effect after WWC adjustments — related
- ATI research using static aptitude measures has yielded remarkably sparse robust results — related
- Feedback benefits are stronger for children with low prior knowledge, resembling an expertise-reversal effect — related
- Instructional approach interacts with prior knowledge for lasting learning, with benefits concentrated among stronger students — reports the opposite
- Carrying on class work and seat work as rapidly as is consistent with getting the meaning may quadruple learning ability over a few months — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
learning-techniques-benefit-low-ability-not-high-ability-students |
title |
In the few studies that split by ability, learning techniques helped low-ability students and not high-ability students |
description |
Across all techniques, the mean effect was d = 0.47 for low-ability students (58 effects, 13 studies) and d = -0.11 for high-ability students (28 effects, 6 studies); high-ability students showed negative effects for interleaved practice and summarization. |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2021 |
source_checked |
2026-10-16 |
generated |
by claude/unspecified on 2026-10-13 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — donoghue-hattie-2021 |
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