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Artificial intelligence-assisted vocabulary teaching: a meta-analysis study

Truvace record
TRV-2026-2803raw data (JSON)
Version
v1Published
First published
Evidence type
Systematic review or meta-analysis
Sources
1 sourcePeer-reviewed
sha256
eb6c7a202bd2…check it

Introduction: The literature reports promising findings on the use of artificial intelligence (AI) to enhance vocabulary learning performance. However, this body of research is still relatively recent, important gaps remain, and findings vary across studies. Therefore, synthesizing the available evidence is essential to reach more generalizable conclusions and to gain deeper insight into AI-supported vocabulary instruction. Methods: This study employed a meta-analytic design to examine the effects of AI-supporte…

The gain

A meta-analysis of 18 controlled studies with 1,823 learners found AI-supported vocabulary teaching beat control instruction on vocabulary tests, with a pooled effect of g = 1.309 (95% CI 0.876 to 1.742).

What this doesn’t fix

The analysis rests on only 18 studies, shows very high heterogeneity (I² = 93.868%) not fully explained by the moderators, and drew mainly on English second-language learners and university students.

Sources

1 on file
  1. Frontiers in Artificial Intelligencedoi:10.3389/frai.2026.1806700
    Peer-reviewed2026-04-23

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 interventions in second-language learners

    Hedges' g 1.447 (95% CI 0.998 to 1.896)

    2 studies

    The review’s own words
    According to the analysis results, the effect of AI-supported interventions is larger in the L2 group [ g = 1.447, 95% CI (0.998, 1.896)].

  • Vocabulary learning with AI interventions in school settings

    Hedges' g 1.606 (95% CI 1.030 to 2.182)

    15 studies

    The review’s own words
    The results show that AI interventions in the school setting [ g = 1.606, 95% CI (1.030, 2.182)] had a greater effect on vocabulary learning success compared to those in the out-of-school setting [ g = 0.758, 95% CI (0.146, 1.369)].

  • Vocabulary learning with AI interventions in out-of-school settings

    Hedges' g 0.758 (95% CI 0.146 to 1.369)

    4 studies

    The review’s own words
    The results show that AI interventions in the school setting [ g = 1.606, 95% CI (1.030, 2.182)] had a greater effect on vocabulary learning success compared to those in the out-of-school setting [ g = 0.758, 95% CI (0.146, 1.369)].

  • Vocabulary learning with AI interventions compared with traditional teaching

    Hedges' g 1.633 (95% CI 0.943 to 2.323)

    14 studies

    The review’s own words
    Experimental procedures supported by AI applications showed a relatively larger effect compared to traditional teaching [ g = 1.633, 95% CI (0.943, 2.323)].

  • Vocabulary learning with AI interventions compared with multimedia-supported teaching

    Hedges' g 0.802 (95% CI 0.548 to 1.117)

    9 studies

    The review’s own words
    However, when compared to multimedia-supported teaching, the effect size was considerably high but relatively smaller [ g = 0.802, 95% CI (0.548, 1.117)].

  • Vocabulary learning performance with AI-supported interventions compared with control teaching

    Hedges' g 1.309 (95% CI 0.876 to 1.742)

    18 studies · 1,823 people

    The review’s own words
    Furthermore, the overall effect size [ g = 1.309, 95% CI (0.876, 1.742), p < 0.05] demonstrates that the effect of AI use in the context of vocabulary teaching is positive and large.

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-2026-2803, v1: “Artificial intelligence-assisted vocabulary teaching: a meta-analysis study.” Truvace, 2026-11-12. /record/TRV-2026-2803 (accessed on the day you copy it). sha256 eb6c7a202bd294e0…

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  1. Publishedv1eb6c7a202bd2…

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