Claims

Amount of ASR practice (days per week, session length) showed no observable difference in pronunciation improvement

Claim · All claims
Evidence · 2 studies · 1 causal r2, 1 quant-synthesis r2 · q2–q3 · i2 medium · n=15 studies (38 effect sizes)
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person

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.

q2 i? Self-reported practice frequency and session length were not associated with observable improvement in pronunciation. → Dillon 2023 q3 i2 Across ASR studies, programme length did matter: one to four weeks pooled to g = 0.07, five to eight weeks to g = 1.01 and nine weeks or more to g = 0.72; this is total duration, not the days per week or session length this claim concerns. → Ngo et al. 2024

Evidence

Dillon 2023

Dillon, Thomas, & Wells, Donald. (2023). Effects of pronunciation training using automatic speech recognition on pronunciation accuracy of Korean English language learners. English Teaching, 78(1), 3-23. https://doi.org/10.15858/engtea.78.1.202303.3

q2 · i? · causal · r2

Questionnaire-based analysis of the treatment group (27 respondents, of whom 15 claimed to study 1 or 2 days per week and 20 claimed 5 to 10 minutes per session) found "no observable difference in improvement according to days studied per week or session time."

"There was no observable difference in improvement according to days studied per week or session time."

Ngo et al. 2024

Ngo, T. T.-N., Chen, H. H.-J., & Lai, K. K.-W. (2024). The effectiveness of automatic speech recognition in ESL/EFL pronunciation: A meta-analysis. ReCALL, 36(1), 4–21. doi:10.1017/S0958344023000113

q3 · meta-analysis (three-level, random effects) · i2 · medium effect, g=0.69 · n=15 studies (38 effect sizes) · quant-synthesis · r2

A meta-analysis of 15 studies (2008–2021, 38 effect sizes) comparing ESL/EFL learners who practised pronunciation with automatic speech recognition (ASR) against a non-ASR condition. The pooled effect was g = 0.69 (95% CI 0.31 to 1.08), with substantial heterogeneity (Q = 227.70; I² 56.56% between studies). The authors did not test for publication bias, and name the small number of primary studies as the main limitation. Read from the publisher's open-access full text; the article was published online in 2023. By treatment duration, short programmes (one to four weeks) gave g = 0.07 (3 studies, 95% CI −1.02 to 1.15), medium ones (five to eight weeks) g = 1.01 (4 studies, 95% CI 0.12 to 1.89) and long ones (nine weeks or more) g = 0.72 (8 studies, 95% CI 0.23 to 1.21). The synthesis codes total programme length, not practice frequency or session length.

"The pooled effect size was medium (g = 0.69), and the confidence interval was not across zero (95% CI = [0.31, 1.08])."

Discussion

Ngo et al. (2024) qualify this claim. The claim concerns practice frequency and session length within one four-week programme; the synthesis compares programmes of different total length across studies and finds that one to four weeks produced a negligible pooled effect while longer programmes produced medium to large ones. So the absence of a dose-response within a short programme is consistent with the pooled evidence, but it should not be read as evidence that the amount of ASR practice does not matter.

Page metadata
Field Value
type claim
id no-dose-response-asr-practice-time
title Amount of ASR practice (days per week, session length) showed no observable difference in pronunciation improvement
description Amount of ASR practice (days per week, session length) showed no observable difference in pronunciation improvement
status review
evidence_strength weak
newest_evidence 2024
generated by process:wiki-ingest on 2026-09-27
trust unverified — no one has confirmed this page's content
sources 2 — dillon-2023, ngo-et-al-2024

Frontmatter is the page's machine-readable record — see the Schema & Guide.