2026-10-15T09:42:57Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34496637 2026-10-15T00:40:01Z category_26095 item_type_3 month_year_10_2026

Replication materials: Generative AI use in geometry learning and pre-service mathematics teachers' readiness to teach with AI Muhammad Ammar Naufal (25798050) Anny Sovia (25798287) Hamzah Upu (25798306) Nurfaida Tasni (25798323) Andi Syukriani (25798335) Mathematics and numeracy curriculum and pedagogy generative AI geometry education pre-service mathematics teachers PLS-SEM multigroup analysis replication materials <p dir="ltr">Replication materials for the article "Generative AI use in geometry learning and pre-service mathematics teachers' readiness to teach with AI" (submitted to the International Journal of Mathematical Education in Science and Technology). The study used PLS-SEM, MICOM and PLS-MGA with survey data from 297 pre-service mathematics teachers at two public teacher-education universities (group E, n = 203; group W, n = 94). Participants did not consent to the public release of individual responses, so individual-level data are not shared. The package provides aggregate data (item correlation matrices for the full sample and each group, item and dimension descriptives, aggregated sample characteristics), the Python analysis code, a script that reproduces all PLS-SEM point estimates from the shared correlation matrices, and the complete numerical results behind Tables 1 and 2 and Figures 1 and 2. See README.md for details.</p> 2026-10-15T00:40:01Z Dataset Dataset 10.6084/m9.figshare.34496637.v1 https://figshare.com/articles/dataset/Replication_materials_Generative_AI_use_in_geometry_learning_and_pre-service_mathematics_teachers_readiness_to_teach_with_AI/34496637 CC BY 4.0