Digital transformation of humanities teaching, from traditional methods to generative artificial intelligence: a systematic review

Villarroel-Segovia J.E.; León-Velarde C.G.; Cuadros-Espinoza J.A.; Colquepisco-Paucar N.T. · Formacion Universitaria (2026) · DOI: 10.4067/s0718-50062026000300093

Resumen

The main objective of this study is to explore the digital transformation of teaching in the humanities, from traditional methods to generative artificial intelligence (GAI). This is a systematic review of the literature on Scopus, Springer Link, Refseek, Eric, and Dialnet databases from the years 2020 to 2025, according to the PRISMA statement. A total of 1031 documents are generated, which were then reduced to 19 articles for in-depth analysis. The results show that the year 2024 has the highest number of publications on the subject. Eleven articles are reviews, three are mixed, and about 79% of the studies examined belong to Scopus. The United Kingdom, Spain, Switzerland, and the United States are the countries with the highest scientific output. It is concluded that, with the use of IAG tools and an adjustment to the current instructional design, educators can deliver personalized and enriching educational experiences.

Instituciones: Pontificia Universidad Católica del Perú; Universidad Peruana Los Andes; Universidad Nacional Federico Villarreal; Universidad Nacional de Cañete