70/100

Moderate evidence

Trace: a gain and a problemPublished recordScienceThe Trace

Unlocking the potential of artificial intelligence in improving learning achievement in blended learning: a meta-analysis

Truvace record
TRV-2026-2830raw data (JSON)
Version
v1Published
First published
Evidence type
Systematic review or meta-analysis
Sources
1 sourcePeer-reviewed
sha256
6803500d59a5…check it

Introduction While several studies investigated the effect of blended learning on students’ learning achievement, scant information exists on whether using artificial intelligence (AI) in blended learning could further contribute to the obtained effect. Methods To effectively address the challenges and opportunities presented by blended learning and AI, the present study conducts a meta-analysis to systematically examine the impact of AI-enhanced blended learning on students’ learning achievement, considering th…

62Gain side

How the two sides scoreClose call

61Problem side

The gain

A meta-analysis of 21 studies with 2,873 students found AI-enhanced blended learning raised learning achievement by a medium margin (Hedges' g = 0.50), with personalized AI systems reaching g = 0.88.

The problem

The same meta-analysis of 21 blended-learning studies found AI's benefit faded to g = 0.08 in interventions lasting a semester to a year, and the one early-childhood study showed a significant negative effect (g = -0.31).

A fixed formula sets both scores from the evidence and its sources. Reader votes don’t move them.

What the scores mean

G is the gain side, out of 100. It goes up when the gain is specific, when it measurably helped people and when the sources behind it are strong.

P is the problem side, out of 100. It goes up when the problem is specific, when it measurably hurt people and when the sources behind it are strong.

What this doesn’t fix

Heterogeneity was very high (I² about 89%) with a prediction interval of -0.57 to 1.57, several subgroups rested on one or two studies, and tests suggested publication bias; only English-language journal papers were searched.

Sources

1 on file
  1. Frontiers in Psychologydoi:10.3389/fpsyg.2025.1691414
    Peer-reviewed2025-10-31

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.

  • Student learning achievement with intelligent tutoring systems in blended learning

    Hedges' g 0.42 (95% CI 0.15 to 0.69)

    16 studies · search to June 01, 2024

    The review’s own words
    Intelligent Tutoring Systems (ITS) ( k = 16) studies reported a small-to-medium and statistically significant effect size (Hedges’ g = 0.42, 95% CI [0.15, 0.69], p = 0.002)
  • Student learning achievement with personalized AI systems in blended learning

    Hedges' g 0.88 (95% CI 0.48 to 1.27)

    4 studies · search to June 01, 2024

    The review’s own words
    studies that used a personalized AI system ( k = 4) reported a large effect size (Hedges’ g = 0.88), which was statistically significant ( p = 0.001, 95% CI [0.48, 1.27])
  • Student learning achievement with AI in blended learning after outlier removal and trim-and-fill adjustment

    Hedges' g 0.3181 (95% CI 0.1672 to 0.4690)

    18 studies · search to June 01, 2024

    The review’s own words
    the Trim-and-Fill adjusted estimate increased to g = 0.3181, with a narrower confidence interval [0.1672, 0.4690]
  • Student learning achievement with AI in blended learning compared with no AI

    Hedges' g 0.50 (95% CI 0.27 to 0.74)

    21 studies · 2,873 people · search to June 01, 2024

    The review’s own words
    The overall pooled effect size of the 21 studies shows a medium effect size (Hedges’ g = 0.50), with a 95% confidence interval of [0.27, 0.74]

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-2026-2830, v1: “Unlocking the potential of artificial intelligence in improving learning achievement in blended learning: a meta-analysis.” Truvace, 2026-11-12. /record/TRV-2026-2830 (accessed on the day you copy it). sha256 6803500d59a540f0…

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