[2601.18685] LLAMA LIMA: A Living Meta-Analysis on the Effects of Generative AI on Learning Mathematics

[2601.18685] LLAMA LIMA: A Living Meta-Analysis on the Effects of Generative AI on Learning Mathematics

arXiv - Machine Learning 3 min read

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Abstract page for arXiv paper 2601.18685: LLAMA LIMA: A Living Meta-Analysis on the Effects of Generative AI on Learning Mathematics

Mathematics > History and Overview arXiv:2601.18685 (math) [Submitted on 26 Jan 2026 (v1), last revised 1 Mar 2026 (this version, v2)] Title:LLAMA LIMA: A Living Meta-Analysis on the Effects of Generative AI on Learning Mathematics Authors:Anselm Strohmaier, Samira Bödefeld, Oliver Straser, Frank Reinhold View a PDF of the paper titled LLAMA LIMA: A Living Meta-Analysis on the Effects of Generative AI on Learning Mathematics, by Anselm Strohmaier and 3 other authors View PDF Abstract:The capabilities of generative AI in mathematics education are rapidly evolving, posing significant challenges for research to keep pace. Research syntheses remain scarce and risk being outdated by the time of publication. To address this issue, we present a Living Meta-Analysis (LIMA) on the effects of generative AI-based interventions for learning mathematics. Following PRISMA-LSR guidelines, we continuously update the literature base, apply a Bayesian multilevel meta-regression model to account for nested and cumulative data, and publish updated versions on a preprint server at regular intervals. This paper reports results from the second version, including 21 studies, 6 of which were newly included since the first version. The analyses indicate a positive effect (g = 0.42) with a wide credible interval [0.13, 0.72], reflecting the still limited evidence base. Results indicate no publication bias. Comments: Subjects: History and Overview (math.HO); Machine Learning (cs.LG) Cite as: arXiv:26...

Originally published on March 03, 2026. Curated by AI News.

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