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Explainable artificial intelligence in cognitive learning psychology: A psychometric meta-analysis

Truvace record
TRV-2026-2799raw data (JSON)
Version
v1Published
First published
Evidence type
Systematic review or meta-analysis
Sources
1 sourcePeer-reviewed
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The purpose of this study is to examine explainable artificial intelligence (XAI) in cognitive psychology within higher education institutions. Data were retrieved from Scopus, Web of Science, and PsycINFO (1 January 2015–30 October 2025) in accordance with the PRISMA 2020 guidelines. Our initial search identified 3426 records. Of these, 1936 papers were excluded, and 616 studies underwent full-text review. In the final stage, 188 studies met the selection criteria and included 62,000 participants from higher ed…

The gain

A meta-analysis of 188 studies with 62,000 higher-education participants found a positive pooled correlation (r about 0.32) between explainable AI in adaptive learning systems and cognitive measures such as cognitive load, attention and metacognition.

What this doesn’t fix

The pooled effect is a modest correlation (r about 0.32) with moderate heterogeneity (I² about 58%) across studies, so the association varies between studies and does not establish causation.

Sources

1 on file
  1. Acta Psychologicadoi:10.1016/j.actpsy.2026.106899
    Peer-reviewed2026-04-24

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v1

Truvace Impact Record TRV-2026-2799, v1: “Explainable artificial intelligence in cognitive learning psychology: A psychometric meta-analysis.” Truvace, 2026-11-12. /record/TRV-2026-2799 (accessed on the day you copy it). sha256 bb2eea046d8e1fa2…

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