Presentation pacing moderates the modality effect: large under system-paced conditions and not significant under self-paced conditions, where it may disappear or reverse¶

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3 · i3 large
Currency · newest study 2005 · checked against its sources 2026-10-15 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q3 i3 System-paced studies showed substantially higher effect sizes (d = 0.93) than self-paced studies (d = -0.14, 95% CI -0.32 to 0.04), a nonsignificant estimate from few self-paced studies that Ginns reads as the modality effect "may disappear or reverse under self-paced conditions". → Ginns 2005

Evidence¶

Ginns 2005¶

Ginns, P. (2005). Meta-analysis of the modality effect. Learning and Instruction, 15(4), 313-331. https://doi.org/10.1016/j.learninstruc.2005.07.001

q3 · i3 · quant-synthesis · r2

Random-effects moderator analysis of between-subjects effects comparing system-paced versus self-paced studies. The contrast was significant (zcontrast = 7.83, p < 0.001); system-paced "d = 0.93, 95% confidence interval 0.82 – 1.05" versus self-paced d = -0.14 (95% CI -0.32 to 0.04), an interval that includes zero and small negative effects. Ginns concludes that "the modality effect may disappear or reverse under self-paced conditions", and notes the moderator rests on a "relatively small number of studies ... (n = 6 self-paced studies)".

"Pacing of presentation was also a significant moderator, z contrast = 7.83, p < 0.001, indicating studies using system -paced materials had substantially higher effect sizes ( d = 0.93, 95% confidence interval 0.82 – 1.05) than those using self -paced materials ( d = -0.14, 95% confidence interval –0.32– 0.04)."

Studies bearing on this claim¶

When does the effect hold: pacing, complexity, field and medium? This table gathers the studies behind this claim and the 4 narrower claims that bear on it: 4 distinct studies (2 quant-synthesis, 1 review, 1 causal), q2–q3, 2 of 4 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¶

Related Claims¶

• Presenting words as spoken narration rather than on-screen text alongside graphics improves learning — a broader claim this one bears on
• Within-subjects designs also show a moderate-to-large modality effect (d = 0.73) — related
• The review reports that the modality effect reverses with expertise: audio-visual presentations helped inexperienced learners, but after further training a diagram-only condition showed a substantial advantage — related
• Letting learners pace instruction helped on complex material in one experiment, while learner control in general showed almost no effect across 18 studies — related
• The modality effect tends to be strongest when material is fast-paced and under system control — possibly the same claim (merge candidate)
• In one meta-analysis, modality-effect studies using virtual reality head-mounted displays show larger effects than studies using computer screens or audio-tapes — related
• Dual-mode (auditory plus visual) presentation of worked examples enhances subsequent problem-solving efficiency, except under high visual-search conditions without attention cues — related
• Design principle effects are larger in system-paced and in complex media, and learner prior knowledge was not a significant moderator (p = 0.14) — related
• The modality effect may disappear or reverse for lengthy, complex spoken text — related