The pre-post meta-analysis of EAI effects did not reach statistical significance (g∆ = 0.552, p = .070)¶
Claim · All claims
Evidence · 1 study · quant-synthesisr3·q3
Currency · newest study 2023 · 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
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This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? The average pre-post effect was g∆ = 0.552 with a confidence interval crossing zero and was not statistically significant. → García-Martínez 2023
Evidence¶
García-Martínez 2023¶
García-Martínez, I., Fernández-Batanero, J. M., Fernández-Cerero, J., & León, S. P. (2023). Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis. Journal of New Approaches in Educational Research, 12(1), 171-197. https://doi.org/10.7821/naer.2023.1.1240
q3 · i? · quant-synthesis · r3
Pre-post meta-analysis using Morris's (2008) standardized mean change difference score, based on the 11 of 25 included studies that provided pre-test information. The review reports the result was "not being statistically significant" with significant heterogeneity (Q (39) = 785.498, p < .001).
"The average effect wasg∆ = 0.552, 95% CI [-0.046, 1.150], not being statistically significant;z = 1.809,p = .070."
Discussion¶
Related Claims¶
- EAI effectiveness was reported across all educational stages, with most studies in secondary education and university — related
- EAI-based interventions show a significant positive pooled effect on student performance in the post-test meta-analysis (gp = 0.716) — related
- Funnel-plot asymmetry was significant in both meta-analyses, indicating possible publication or selection bias — related
- Exploratory pre-post questionnaire comparisons showed descriptively higher post-program means but no statistically significant differences after Holm adjustment — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
eai-prepost-meta-analysis-nonsignificant |
title |
The pre-post meta-analysis of EAI effects did not reach statistical significance (g∆ = 0.552, p = .070) |
description |
The pre-post meta-analysis of EAI effects did not reach statistical significance (g∆ = 0.552, p = .070) |
status |
review |
evidence_strength |
weak |
newest_evidence |
2023 |
generated |
by process:wiki-ingest on 2026-10-15 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — garcía-martínez-2023 |
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