Claims

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-synthesis r? · q3 · i2 medium · 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.

Study Design Effect as recorded Bears on this claim through
Donoghue & Hattie 2021 q3 · quant-synthesis · r? i2 · medium effect for low-ability students, d = 0.47; d = -0.11 for high-ability this claim
Kulik et al. 1990 q4 · quant-synthesis · r? i2 · medium effect, ES = 0.61 SD low-aptitude vs 0.40 SD high-aptitude Mastery learning effects are larger for lower-aptitude students, narrowing the spread of a (supports)
Fluency Formula™ WWC Intervention Report 2007 q3 · causal · r? i? Fluency effects of Fluency Formula™ differ by initial ability: positive for low-ability st (supports)
Luiten et al. 1980 q3 · quant-synthesis · r? i1 · small effect, mean ES=0.21 on learning Advance organizers produce a small average learning benefit, larger for high-ability than (counts against)
Stone 1983 q3 · quant-synthesis · r? i? Advance organizers produce a small average learning benefit, larger for high-ability than (counts against)
Mayer 1979 q2 · review · r? i? Advance organizers produce a small average learning benefit, larger for high-ability than (counts against)
Eylon 1979 q2 / q3 · causal · r2 i? Ability moderates the hierarchical-organization advantage: low-ability subjects showed no (counts against)
Freeman Scott 2011 q3 · causal · r2 i? High course structure significantly reduces failure rates in introductory biology independ (qualifies)
Kalyuga 2007 q2 · review · r? i? Empirical patterns of the expertise reversal effect fit those found in Aptitude Treatment (qualifies)
bramlett-subgroups q2 · causal · r2 i? In the Bramlett quasi-experiment, no comprehension subtest or ability-level subgroup showe (qualifies)

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

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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