Type of AI moderated effect sizes: VR showed the largest pooled effect (gp = 1.28) and AR the smallest and non-significant in the post-test analysis¶

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · q3 · i3 large
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i3 The Q-test for the type of AI moderator was significant for the post-test analysis, with VR (gp = 1.28) and applications (gp = 0.92) showing significant effects and simulations gp = 0.49 significant, while AR (gp = 0.20) was not 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 · i3 · quant-synthesis · r3

Moderator analysis (Table 2) of AI type across the pooled effect sizes. The review reports VR "tends to present an effect size (g∆ = 2.01 and gp = 1.28)" higher than other types; Table 2 prints Ap gp = 0.92 (p < .001), Sim gp = 0.49 (p = .018), AR gp = 0.20 (p = .582).

"Numerically, the type of AI VR tends to present an effect size (g∆ = 2.01 and gp = 1.28) on its impact on learning that is higher than the other types of AI manipulation."

Discussion¶

Related Claims¶

• EAI-based interventions show a significant positive pooled effect on student performance in the post-test meta-analysis (gp = 0.716) — a broader claim this one bears on
• AR/VR tools show the largest effect among AI application types (g = 1.765), while ITS and personalized educational games show small effects — related