Digital education-WOS

Advanced search strategies were employed to retrieve literary information obtained from the Web of Science.The refining criteria comprised: (1) Document type (articles or early access publications), excluding conference papers, book chapters, and editorial materials to prevent keyword co-occurrence interference; (2) Language (English); (3) Time span: January 2013 to March 2023. This filter underwent validation by expert computer scientists, leading to the extraction, filtration, and elimination of data, which ultimately produced 1274 articles pertinent to the field of digital education. Each bibliographic entry contained information such as author, title, source publication, keywords, abstract, address, and cited references. No ethical issues as the data are publicly available.