Dataset and analysis pipeline for: Mapping the emerging field of artificial intelligence in art and design education (2015–2026)

This repository contains the final screened corpus, the full screening decision record, and the open-source analysis pipeline supporting the manuscript "Mapping the Emerging Field of Artificial Intelligence in Art and Design Education: A Bibliometric and Science Mapping Analysis (2015–2026)," currently under peer review. The dataset comprises 657 journal articles and reviews on AI in art and design education, retrieved from Scopus and the Web of Science Core Collection (11 July 2026), merged, deduplicated, and screened for topical relevance.

The screening sheet documents all 1,203 originally identified records and the inclusion/exclusion decision for each, enabling independent verification of the PRISMA-style selection process. The Python pipeline (pandas, NetworkX, matplotlib) performs keyword normalisation, annual production analysis, source and country ranking, keyword co-occurrence network construction with Louvain clustering, Callon thematic mapping, and post-2023 keyword growth analysis, reproducing all tables and figures in the manuscript.