Data and R Code for "Evaluating Generative AI-Supported Scientific Infographics for Sustainable STEM Education: Scientific Accuracy, Verifiability, and Multimodal Communication in Ecuadorian Higher Education"

This reproducibility package accompanies an exploratory–descriptive retrospective artifact-analysis study of 41 anonymized scientific infographics on scanning electron microscopy (SEM) and geological applications produced by 41 undergraduate Geology students in a mandatory GenAI-supported Analytical Chemistry assignment in Ecuador. The package includes independent R1/R2 rubric scores, criterion-level averages, weighted artifact scores, qualitative codes, the closed eight-criterion rubric (version 1.0), the thematic scoring key, a documentary record, and an R script reproducing descriptive statistics, inter-rater agreement, Spearman correlations with Holm correction, Kruskal–Wallis analyses, figures, and the post hoc calibration-exclusion sensitivity analysis. The unit of analysis is the infographic artifact rather than the student. No direct personal identifiers or individual learning-outcome data are included. Raw infographic images are excluded because redistribution rights for embedded third-party visual material are not uniformly established.