Supplementary Data and Scripts for an Integrative Review of Generative AI in Design and Technology Education

This dataset contains the reproducible data and scripts of a PRISMA-ScR-informed integrative review of generative artificial intelligence in design and technology education. It is the methodological evidence base supporting an associated journal article currently under peer review. The article itself is not deposited here; the article will receive its own DOI through the journal upon acceptance. CONTENTS:- Four methodology appendices: search strings and inclusion criteria, Layer 2 vendor evidence inventory, PRISMA-ScR flow diagram, evidence-to-framework matrix- 15 data files documenting every retrieval and screening stage: raw OpenAlex results (n=978), deduplicated set (n=904), title-and-abstract screening included (n=139) and excluded (n=765), full-text screening included (n=137) and excluded (n=2), hand-search additions (n=50), final corpus (n=187), 14-dimension charting matrix- 7 executable Python scripts that reproduce the full retrieval and screening pipeline against the OpenAlex public API REPRODUCIBILITY:The retrieval is reproducible by running the deposited Python scripts. OpenAlex re-indexes records continuously; results re-run after the original search date (2026-05-08) may differ marginally from the deposited CSVs. The deposited CSVs are the definitive record. CONTACT:Hong Yan, Department of Systems and Industrial Engineering, University of Arizona, [e-mail]