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Student–AI interaction: unveiling the impact of AI agents on vocabulary learning – A meta-analysis

Truvace record
TRV-2026-2766raw data (JSON)
Version
v1Published
First published
Evidence type
Systematic review or meta-analysis
Sources
1 sourcePeer-reviewed
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5b127d6193be…check it

Abstract The rapid proliferation of artificial intelligence (AI)-driven educational interventions has generated substantial interest in their effectiveness for vocabulary acquisition; however, the existing literature presents inconsistent findings. This meta-analysis, drawing on 28 studies and integrating 55 effect sizes via a three-level random effects model, demonstrates a significant overall positive effect of AI agents on vocabulary learning (effect size = 0.904, 95 % CI: 0.724, 1.084, p < 0.0001). Furthermo…

The gain

A meta-analysis of 28 studies and 55 effect sizes found AI agents had a significant positive effect on vocabulary learning (effect size 0.904, 95% CI 0.724 to 1.084).

Sources

1 on file
  1. International Review of Applied Linguistics in Language Teachingdoi:10.1515/iral-2025-0382
    Peer-reviewed2026-08-12

What the review found when it combined the studies

These are the review’s own pooled results, copied from its abstract. Truvace did not recalculate them.

  • Vocabulary learning with AI agents compared with control conditions

    Effect size 0.904 (95% CI 0.724 to 1.084)

    28 studies

    The review’s own words
    This meta-analysis, drawing on 28 studies and integrating 55 effect sizes via a three-level random effects model, demonstrates a significant overall positive effect of AI agents on vocabulary learning (effect size = 0.904, 95 % CI: 0.724, 1.084, p < 0.0001).

Code checks every number above against the review’s text before it is shown. The short labels are an AI model’s reading of that text, so the review’s own sentence sits under each one. A pooled figure is only as strong as the studies behind it. How Truvace uses pooled results

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v1

Truvace Impact Record TRV-2026-2766, v1: “Student–AI interaction: unveiling the impact of AI agents on vocabulary learning – A meta-analysis.” Truvace, 2026-11-12. /record/TRV-2026-2766 (accessed on the day you copy it). sha256 5b127d6193beb0bd…

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